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Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows

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Monocular‐SLAM–based navigation for autonomous micro helicopters in GPS‐denied environments
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HyperUAS—Imaging Spectroscopy from a Multirotor Unmanned Aircraft System
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Low‐altitude Terrestrial Spectroscopy from a Pushbroom Sensor
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Digital Airborne Camera : Introduction and Technology
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Computer Vision
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Remote Sensing Image Registration Techniques: A Survey
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The application of small unmanned aerial systems for precision agriculture: a review
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Modeling the World from Internet Photo Collections
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A reflectance model for the homogeneous plant canopy and its inversion
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A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
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The spectral database SPECCHIO for improved long-term usability and data sharing
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SpecCal: Novel software for in-field spectral characterization of high-resolution spectrometers
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Developing and evaluating an aerial sensor platform (ASP) to collect multispectral data for deriving management decisions in precision farming
inferredcites →https://doi.org/10.1016/j.compag.2014.02.009openalex-snapshot
Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV
inferredcites →https://doi.org/10.1016/j.compag.2015.03.019openalex-snapshot
An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops
inferredcites →https://doi.org/10.1016/j.eja.2014.01.004openalex-snapshot
Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
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Calibration facility for airborne imaging spectrometers
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Object based image analysis for remote sensing
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An approach to the radiometric aerotriangulation of photogrammetric images
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Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices
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Shadow detection in very high spatial resolution aerial images: A comparative study
inferredcites →https://doi.org/10.1016/j.isprsjprs.2013.09.014openalex-snapshot
Geographic Object-Based Image Analysis – Towards a new paradigm
inferredcites →https://doi.org/10.1016/j.isprsjprs.2014.02.013openalex-snapshot
Unmanned aerial systems for photogrammetry and remote sensing: A review
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Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
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Remote sensing platforms and sensors: A survey
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Band-to-band registration and ortho-rectification of multilens/multispectral imagery: A case study of MiniMCA-12 acquired by a fixed-wing UAS
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Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland
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The impacts of environmental variables on water reflectance measured using a lightweight unmanned aerial vehicle (UAV)-based spectrometer system
inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.07.007openalex-snapshot
Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak
inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.10.014openalex-snapshot
Band registration of tuneable frame format hyperspectral UAV imagers in complex scenes
inferredcites →https://doi.org/10.1016/j.jag.2006.09.003openalex-snapshot
Spectrodirectional remote sensing: From pixels to processes
inferredcites →https://doi.org/10.1016/j.jag.2015.02.012openalex-snapshot
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
inferredcites →https://doi.org/10.1016/j.jag.2017.05.002openalex-snapshot
Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest
inferredcites →https://doi.org/10.1016/j.jag.2017.10.012openalex-snapshot
Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery
inferredcites →https://doi.org/10.1016/j.rse.2006.03.002openalex-snapshot
Reflectance quantities in optical remote sensing—definitions and case studies
inferredcites →https://doi.org/10.1016/j.rse.2007.12.014openalex-snapshot
Three decades of hyperspectral remote sensing of the Earth: A personal view
inferredcites →https://doi.org/10.1016/j.rse.2008.12.001openalex-snapshot
Modelling PRI for water stress detection using radiative transfer models
inferredcites →https://doi.org/10.1016/j.rse.2009.06.018openalex-snapshot
Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery
inferredcites →https://doi.org/10.1016/j.rse.2011.03.012openalex-snapshot
On the reproducibility of field-measured reflectance factors in the context of vegetation studies
inferredcites →https://doi.org/10.1016/j.rse.2011.10.007openalex-snapshot
Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
inferredcites →https://doi.org/10.1016/j.rse.2013.02.003openalex-snapshot
Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance
inferredcites →https://doi.org/10.1016/j.rse.2013.07.024openalex-snapshot
A PRI-based water stress index combining structural and chlorophyll effects: Assessment using diurnal narrow-band airborne imagery and the CWSI thermal index
inferredcites →https://doi.org/10.1016/j.rse.2013.07.031openalex-snapshot
High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices
inferredcites →https://doi.org/10.1016/j.rse.2014.11.014openalex-snapshot
Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX)
inferredcites →https://doi.org/10.1016/j.rse.2017.04.007openalex-snapshot
UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA
inferredcites →https://doi.org/10.1016/j.rse.2017.05.036openalex-snapshot
Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV
inferredcites →https://doi.org/10.1016/j.rse.2017.10.043openalex-snapshot
Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers – From theory to application
inferredcites →https://doi.org/10.1016/j.tplants.2013.09.008openalex-snapshot
Field high-throughput phenotyping: the new crop breeding frontier
inferredcites →https://doi.org/10.1016/j.ufug.2018.01.010openalex-snapshot
Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft
inferredcites →https://doi.org/10.1016/s0034-4257(02)00087-1openalex-snapshot
The MODIS Land product quality assessment approach
inferredcites →https://doi.org/10.1016/s0034-4257(98)00064-9openalex-snapshot
Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
inferredcites →https://doi.org/10.1061/(asce)su.1943-5428.0000225openalex-snapshot
Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System
inferredcites →https://doi.org/10.1073/pnas.1516249112openalex-snapshot
Lightweight Raman spectroscope using time-correlated photon-counting detection
inferredcites →https://doi.org/10.1073/pnas.1707462114openalex-snapshot
Smart farming is key to developing sustainable agriculture
inferredcites →https://doi.org/10.1080/01431160110115834openalex-snapshot
Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/topographic correction
inferredcites →https://doi.org/10.1080/01431160210154029openalex-snapshot
Correcting satellite imagery for the variance of reflectance and illumination with topography
inferredcites →https://doi.org/10.1080/01431160500114664openalex-snapshot
De‐shadowing of satellite/airborne imagery
inferredcites →https://doi.org/10.1080/01431160500213375openalex-snapshot
Calibration of dual‐beam spectroradiometric data
inferredcites →https://doi.org/10.1080/01431160500444780openalex-snapshot
On the temporal stability of ground calibration targets: implications for the reproducibility of remote sensing methodologies
inferredcites →https://doi.org/10.1080/01431161.2016.1259685openalex-snapshot
Open-source GIS application for UAV photogrammetry based on MicMac
inferredcites →https://doi.org/10.1080/01431161.2017.1297548openalex-snapshot
UAS, sensors, and data processing in agroforestry: a review towards practical applications
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Unmanned aerial vehicles for environmental applications
inferredcites →https://doi.org/10.1080/01431161.2017.1410300openalex-snapshot
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
inferredcites →https://doi.org/10.1080/01431161.2018.1425570openalex-snapshot
Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
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The use of the empirical line method to calibrate remotely sensed data to reflectance
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On the Slope-Aspect Correction of Multispectral Scanner Data
inferredcites →https://doi.org/10.1086/144279openalex-snapshot
The reciprocity principle in lunar photometry
inferredcites →https://doi.org/10.1093/oso/9780195178173.001.0001openalex-snapshot
Remote Sensing
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On field radiometric calibration for multispectral cameras
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A CMOS-compatible, integrated approach to hyper- and multispectral imaging
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A Novel UAV-Based Ultra-Light Weight Spectrometer for Field Spectroscopy
inferredcites →https://doi.org/10.1109/jstars.2014.2329891openalex-snapshot
Spectral Calibration of Hyperspectral Data Observed From a Hyperspectrometer Loaded on an Unmanned Aerial Vehicle Platform
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A Simplified Empirical Line Method of Radiometric Calibration for Small Unmanned Aircraft Systems-Based Remote Sensing
inferredcites →https://doi.org/10.1109/jstars.2015.2472293openalex-snapshot
Development of a Low-Cost, Lightweight Hyperspectral Imaging System Based on a Polygon Mirror and Compact Spectrometers
inferredcites →https://doi.org/10.1109/jstars.2016.2592987openalex-snapshot
Development of a Low-Cost Hyperspectral Whiskbroom Imager Using an Optical Fiber Bundle, a Swing Mirror, and Compact Spectrometers
inferredcites →https://doi.org/10.1109/jstars.2016.2593984openalex-snapshot
Field and Airborne Spectroscopy Cross Validation—Some Considerations
inferredcites →https://doi.org/10.1109/jstars.2016.2635482openalex-snapshot
Mapping Mosaic Virus in Sugarcane Based on Hyperspectral Images
inferredcites →https://doi.org/10.1109/lgrs.2014.2374358openalex-snapshot
Detection and Correction of Radiance Variations During Spectral Calibration in APEX
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Practical anti-vignetting methods for digital cameras
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Multispectral Demosaicing Using Pseudo-Panchromatic Image
inferredcites →https://doi.org/10.1109/tgrs.2008.2010457openalex-snapshot
Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
inferredcites →https://doi.org/10.1109/tgrs.2011.2108301openalex-snapshot
Empirical Models for Radiometric Calibration of Digital Aerial Frame Mosaics
inferredcites →https://doi.org/10.1109/tgrs.2012.2185055openalex-snapshot
The Fields of View and Directional Response Functions of Two Field Spectroradiometers
inferredcites →https://doi.org/10.1109/tgrs.2013.2242898openalex-snapshot
Correction of Reflectance Anisotropy Effects of Vegetation on Airborne Spectroscopy Data and Derived Products
inferredcites →https://doi.org/10.1109/tgrs.2013.2265295openalex-snapshot
Direct Georeferencing of Ultrahigh-Resolution UAV Imagery
inferredcites →https://doi.org/10.1109/tgrs.2014.2349946openalex-snapshot
Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR)
inferredcites →https://doi.org/10.1109/tgrs.2016.2565471openalex-snapshot
Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV)
inferredcites →https://doi.org/10.1109/tgrs.2017.2655365openalex-snapshot
Commercial Off-the-Shelf Digital Cameras on Unmanned Aerial Vehicles for Multitemporal Monitoring of Vegetation Reflectance and NDVI
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Robust Radiometric Calibration and Vignetting Correction
inferredcites →https://doi.org/10.1109/tpami.2010.55openalex-snapshot
Vignette and Exposure Calibration and Compensation
inferredcites →https://doi.org/10.1111/2041-210x.12833openalex-snapshot
Unmanned aircraft system advances health mapping of fragile polar vegetation
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Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests
inferredcites →https://doi.org/10.1111/gcb.13017openalex-snapshot
Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant
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Image‐based 3D Modelling: A Review
inferredcites →https://doi.org/10.1111/phor.12063openalex-snapshot
State of the art in high density image matching
inferredcites →https://doi.org/10.1111/phor.12115openalex-snapshot
Analysis of Different Methods for 3D Reconstruction of Natural Surfaces from Parallel‐Axes UAV Images
inferredcites →https://doi.org/10.1111/phor.12153openalex-snapshot
Geometric Calibration of a Hyperspectral Frame Camera
inferredcites →https://doi.org/10.1117/1.1813441openalex-snapshot
Classification of imaging spectrometers for remote sensing applications
inferredcites →https://doi.org/10.1117/1.3216822openalex-snapshot
Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management
inferredcites →https://doi.org/10.1117/1.oe.51.11.111702openalex-snapshot
Snapshot advantage: a review of the light collection improvement for parallel high-dimensional measurement systems
inferredcites →https://doi.org/10.1117/1.oe.52.9.090901openalex-snapshot
Review of snapshot spectral imaging technologies
inferredcites →https://doi.org/10.1117/12.540991openalex-snapshot
Reflection properties of vegetation and soil with a new BRDF database
inferredcites →https://doi.org/10.1117/12.897712openalex-snapshot
Unmanned aerial vehicle (UAV) operated megapixel spectral camera
inferredcites →https://doi.org/10.1117/2.1200812.1438openalex-snapshot
A new era in remote sensing of crops with unmanned robots
inferredcites →https://doi.org/10.1126/science.228.4704.1147openalex-snapshot
Imaging Spectrometry for Earth Remote Sensing
inferredcites →https://doi.org/10.1127/1432-8364/2012/0115openalex-snapshot
Assessment of Radiometric Correction Methods for ADS40 Imagery
inferredcites →https://doi.org/10.1127/1432-8364/2014/0217openalex-snapshot
Hyperspektrale Fernerkundung mit dem UAS "Stuttgarter Adler" - Systemübersicht, Kalibrierung und erste Ergebnisse
inferredcites →https://doi.org/10.1127/1432-8364/2014/0218openalex-snapshot
Messung von gerichteten Reflektanzen bei hyperspektralen Flächenkameras auf UAVs
inferredcites →https://doi.org/10.1127/pfg/2015/0256openalex-snapshot
Leichte und UAV-getragene hyperspektrale, bildgebende Kameras zur Beobachtung von landwirtschaftlichen Pflanzenbeständen: spektraler Vergleich mit einem tragbaren Feldspektrometer
inferredcites →https://doi.org/10.1146/annurev-arplant-050312-120137openalex-snapshot
Future Scenarios for Plant Phenotyping
inferredcites →https://doi.org/10.1364/ao.24.000383openalex-snapshot
Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces
inferredcites →https://doi.org/10.1364/ao.37.006339openalex-snapshot
Correcting global solar ultraviolet spectra recorded by a Brewer spectroradiometer for its angular response error
inferredcites →https://doi.org/10.1371/journal.pone.0058210openalex-snapshot
Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management
inferredcites →https://doi.org/10.14214/sf.7721openalex-snapshot
Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables
inferredcites →https://doi.org/10.14358/pers.75.2.193openalex-snapshot
A Radiometric Aerial Triangulation for the Equalization of Digital Aerial Images and Orthoimages
inferredcites →https://doi.org/10.14358/pers.81.4.281openalex-snapshot
Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
inferredcites →https://doi.org/10.1890/120150openalex-snapshot
Lightweight unmanned aerial vehicles will revolutionize spatial ecology
inferredcites →https://doi.org/10.1890/es14-00217.1openalex-snapshot
Ecohydrology with unmanned aerial vehicles
inferredcites →https://doi.org/10.3389/fpls.2017.01111openalex-snapshot
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
inferredcites →https://doi.org/10.3390/agriculture6010004openalex-snapshot
A Programmable Aerial Multispectral Camera System for In-Season Crop Biomass and Nitrogen Content Estimation
inferredcites →https://doi.org/10.3390/f7030062openalex-snapshot
Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
inferredcites →https://doi.org/10.3390/geosciences5030264openalex-snapshot
Snow Depth Retrieval with UAS Using Photogrammetric Techniques
inferredcites →https://doi.org/10.3390/rs10020256openalex-snapshot
Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment
inferredcites →https://doi.org/10.3390/rs10020338openalex-snapshot
Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
inferredcites →https://doi.org/10.3390/rs1030184openalex-snapshot
Comparison of Topographic Correction Methods
inferredcites →https://doi.org/10.3390/rs1030577openalex-snapshot
Digital Airborne Photogrammetry—A New Tool for Quantitative Remote Sensing?—A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images
inferredcites →https://doi.org/10.3390/rs2030819openalex-snapshot
Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera
inferredcites →https://doi.org/10.3390/rs3112529openalex-snapshot
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments
inferredcites →https://doi.org/10.3390/rs4051392openalex-snapshot
An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds
inferredcites →https://doi.org/10.3390/rs4051462openalex-snapshot
Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing
inferredcites →https://doi.org/10.3390/rs4061573openalex-snapshot
Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
inferredcites →https://doi.org/10.3390/rs5084045openalex-snapshot
NASA Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager
inferredcites →https://doi.org/10.3390/rs5105006openalex-snapshot
Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture
inferredcites →https://doi.org/10.3390/rs6031918openalex-snapshot
Vicarious Radiometric Calibration of a Multispectral Camera on Board an Unmanned Aerial System
inferredcites →https://doi.org/10.3390/rs6043409openalex-snapshot
Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data
inferredcites →https://doi.org/10.3390/rs6054003openalex-snapshot
Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds
inferredcites →https://doi.org/10.3390/rs6065407openalex-snapshot
Comparing Two Photo-Reconstruction Methods to Produce High Density Point Clouds and DEMs in the Corral del Veleta Rock Glacier (Sierra Nevada, Spain)
inferredcites →https://doi.org/10.3390/rs61111013openalex-snapshot
A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.3390/rs61111051openalex-snapshot
UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas
inferredcites →https://doi.org/10.3390/rs70100725openalex-snapshot
Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer
inferredcites →https://doi.org/10.3390/rs70809632openalex-snapshot
Inventory of Small Forest Areas Using an Unmanned Aerial System
inferredcites →https://doi.org/10.3390/rs70911449openalex-snapshot
Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass
inferredcites →https://doi.org/10.3390/rs70911933openalex-snapshot
The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis
inferredcites →https://doi.org/10.3390/rs71115467openalex-snapshot
Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level
inferredcites →https://doi.org/10.3390/rs8070574openalex-snapshot
Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity
inferredcites →https://doi.org/10.3390/rs8100796openalex-snapshot
Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery
inferredcites →https://doi.org/10.3390/rs8110909openalex-snapshot
Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle—Results for Barley, Winter Wheat, and Potato
inferredcites →https://doi.org/10.3390/rs9010088openalex-snapshot
The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo—A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data
inferredcites →https://doi.org/10.3390/rs9030185openalex-snapshot
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
inferredcites →https://doi.org/10.3390/rs9040308openalex-snapshot
Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery
inferredcites →https://doi.org/10.3390/rs9040309openalex-snapshot
Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
inferredcites →https://doi.org/10.3390/rs9050417openalex-snapshot
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle
inferredcites →https://doi.org/10.3390/rs9050472openalex-snapshot
Surface Reflectance and Sun-Induced Fluorescence Spectroscopy Measurements Using a Small Hyperspectral UAS
inferredcites →https://doi.org/10.3390/rs9060622openalex-snapshot
Impact of Atmospheric Inversion Effects on Solar-Induced Chlorophyll Fluorescence: Exploitation of the Apparent Reflectance as a Quality Indicator
inferredcites →https://doi.org/10.3390/rs9070642openalex-snapshot
The DOM Generation and Precise Radiometric Calibration of a UAV-Mounted Miniature Snapshot Hyperspectral Imager
inferredcites →https://doi.org/10.3390/rs9070696openalex-snapshot
Fusion of Multispectral Imagery and Spectrometer Data in UAV Remote Sensing
inferredcites →https://doi.org/10.3390/rs9111110openalex-snapshot
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
inferredcites →https://doi.org/10.3390/s150204154openalex-snapshot
Characterization of a Field Spectroradiometer for Unattended Vegetation Monitoring. Key Sensor Models and Impacts on Reflectance
inferredcites →https://doi.org/10.3390/s17061428openalex-snapshot
Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production
inferredcites →https://doi.org/10.3390/s8053557openalex-snapshot
Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots
inferredcites →https://doi.org/10.3390/s8106235openalex-snapshot
APEX - the Hyperspectral ESA Airborne Prism Experiment
inferredcites →https://doi.org/10.3390/s90200794openalex-snapshot
Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data
inferredcites →https://doi.org/10.3390/s90503891openalex-snapshot
Polarised Multiangular Reflectance Measurements Using the Finnish Geodetic Institute Field Goniospectrometer
inferredcites →https://doi.org/10.3920/978-90-8686-778-3openalex-snapshot
Precision agriculture '13
inferredcites →https://doi.org/10.5194/acp-5-1855-2005openalex-snapshot
Technical note: The libRadtran software package for radiative transfer calculations - description and examples of use
inferredcites →https://doi.org/10.5194/bg-12-163-2015openalex-snapshot
Deploying four optical UAV-based sensors over grassland: challenges and limitations
inferredcites →https://doi.org/10.5194/gmd-9-1647-2016openalex-snapshot
The libRadtran software package for radiative transfer calculations (version 2.0.1)
inferredcites →https://doi.org/10.5194/hess-21-3879-2017openalex-snapshot
The future of Earth observation in hydrology
inferredcites →https://doi.org/10.5194/isprs-annals-iii-7-257-2016openalex-snapshot
INFLUENCE OF THE VIEWING GEOMETRY WITHIN HYPERSPECTRAL IMAGES RETRIEVED FROM UAV SNAPSHOT CAMERAS
inferredcites →https://doi.org/10.5194/isprs-archives-xli-b1-1157-2016openalex-snapshot
COMPACT HYPERSPECTRAL IMAGING SYSTEM (COSI) FOR SMALL REMOTELY PILOTED AIRCRAFT SYSTEMS (RPAS) – SYSTEM OVERVIEW AND FIRST PERFORMANCE EVALUATION RESULTS
inferredcites →https://doi.org/10.5194/isprs-archives-xli-b1-317-2016openalex-snapshot
RADIOMETRIC NORMALIZATION OF LARGE AIRBORNE IMAGE DATA SETS ACQUIRED BY DIFFERENT SENSOR TYPES
inferredcites →https://doi.org/10.5194/isprs-archives-xlii-2-w6-223-2017openalex-snapshot
A SPATIO-SPECTRAL CAMERA FOR HIGH RESOLUTION HYPERSPECTRAL IMAGING
inferredcites →https://doi.org/10.5194/isprs-archives-xlii-2-w6-379-2017openalex-snapshot
PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS) – GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT
inferredcites →https://doi.org/10.5194/isprs-archives-xlii-3-w3-149-2017openalex-snapshot
GEOMETRIC CALIBRATION AND RADIOMETRIC CORRECTION OF THE MAIA MULTISPECTRAL CAMERA
inferredcites →https://doi.org/10.5194/isprsarchives-xl-1-135-2014openalex-snapshot
Crop height determination with UAS point clouds
inferredcites →https://doi.org/10.5194/isprsarchives-xl-1-w2-189-2013openalex-snapshot
SPECTRAL IMAGING FROM UAVS UNDER VARYING ILLUMINATION CONDITIONS
inferredcites →https://doi.org/10.5194/isprsarchives-xl-7-1-2014openalex-snapshot
Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs
inferredcites →https://doi.org/10.5194/tc-10-613-2016openalex-snapshot
Tilt error in cryospheric surface radiation measurements at high latitudes: a model study
inferredcites →https://doi.org/10.5194/tc-11-1575-2017openalex-snapshot
Unmanned aerial system nadir reflectance and MODIS nadir BRDF-adjusted surface reflectances intercompared over Greenland
inferredcites →https://doi.org/10.5721/eujrs20144727openalex-snapshot
Development of a software to optimize and plan the acquisitions from UAV and a first application in a post-seismic environment
inferredcites →https://doi.org/10.6028/nbs.mono.160openalex-snapshot
Geometrical considerations and nomenclature for reflectance
inferredcites →https://doi.org/10.6028/nist.hb.157openalex-snapshot
Guidelines for Radiometric Calibration of Electro-Optical Instruments for Remote Sensing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/b978-0-443-24712-5.00008-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-33803-8.00042-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.agwat.2024.109088openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.agwat.2026.110687openalex-snapshot
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Advanced imaging for microalgal biotechnology
inferred← citeshttps://doi.org/10.1016/j.apgeog.2020.102322openalex-snapshot
Evaluation of UAV and satellite-derived NDVI to map maritime Antarctic vegetation
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Prediction modeling for yield and water-use efficiency in spinach using remote sensing via an unmanned aerial system
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100467openalex-snapshot
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UAV hyperspectral remote sensing for crop nitrogen monitoring: progress, challenges, and perspectives
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inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2021.11.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2021.106574openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2023.108011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2025.110178openalex-snapshot
Characterizing key foliar functional traits of subtropical evergreen forests in South China using leaf and UAV-based spectroscopy
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inferred← citeshttps://doi.org/10.1016/j.compag.2026.111426openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.dib.2026.112480openalex-snapshot
A multi-angle reflectance dataset of wheat and peach trees with unmanned aerial vehicle imagery
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inferred← citeshttps://doi.org/10.1016/j.ecofro.2026.03.011openalex-snapshot
Land use/cover change and its correlation with land surface temperature: The case of Asella and its surrounding area, Ethiopia
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2022.101768openalex-snapshot
UAV-based classification of maritime Antarctic vegetation types using GEOBIA and random forest
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2023.102007openalex-snapshot
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Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
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Multimodal UAV data for individual tree species classification in a complexly structured, species-rich riparian forest
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.104061openalex-snapshot
Allometry-informed estimation of leaf area index in mountainous coniferous forests using Sentinel-2 spectral and textural features
inferred← citeshttps://doi.org/10.1016/j.ecss.2020.106789openalex-snapshot
UAV-mounted hyperspectral mapping of intertidal macroalgae
inferred← citeshttps://doi.org/10.1016/j.egyr.2022.07.157openalex-snapshot
Exergoenvironmental, environmental impact and damage cost analyses of a micro turbojet engine (m-TJE)
inferred← citeshttps://doi.org/10.1016/j.eja.2022.126462openalex-snapshot
Linking soil N dynamics and plant N uptake by means of sensor support
inferred← citeshttps://doi.org/10.1016/j.eja.2025.127697openalex-snapshot
Optimizing nitrogen estimates in common bean canopies throughout key growth stages via spectral and textural data from unmanned aerial vehicle multispectral imagery
inferred← citeshttps://doi.org/10.1016/j.ejrs.2025.10.004openalex-snapshot
Advancing coastal land use mapping through deep multi-label classification and multi-sensor data fusion
inferred← citeshttps://doi.org/10.1016/j.energy.2025.138872openalex-snapshot
Ambient state effects on energy conversion efficiency: Multilevel analysis of thermodynamic cycle performance in two-stroke aviation engines
inferred← citeshttps://doi.org/10.1016/j.energy.2025.139031openalex-snapshot
Research on the determination method of stable combustion boundaries for aviation two-stroke engines based on inter-cylinder differences
inferred← citeshttps://doi.org/10.1016/j.envsoft.2025.106786openalex-snapshot
A framework for the evaluation of flood inundation predictions over extensive benchmark databases
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114908openalex-snapshot
Integrated technique of segmentation and classification methods with connected components analysis for road extraction from orthophoto images
inferred← citeshttps://doi.org/10.1016/j.fcr.2021.108177openalex-snapshot
The importance of spectral correction of UAV-based phenotyping with RGB cameras
inferred← citeshttps://doi.org/10.1016/j.fcr.2022.108739openalex-snapshot
Estimating maize LAI by exploring deep features of vegetation index map from UAV multispectral images
inferred← citeshttps://doi.org/10.1016/j.gsme.2026.05.001openalex-snapshot
Standardizing UAV hyperspectral data for monitoring post-mining environments: A reproducible preprocessing framework
inferred← citeshttps://doi.org/10.1016/j.ijthermalsci.2020.106286openalex-snapshot
Cooling solutions for an electronic equipment box operating on UAV systems under transient conditions
inferred← citeshttps://doi.org/10.1016/j.indcrop.2025.121710openalex-snapshot
Estimation of chlorophyll content in cotton canopy leaves based on drone multispectral sensors: Multiple spectral information fusion
inferred← citeshttps://doi.org/10.1016/j.indcrop.2025.122197openalex-snapshot
J-Rice-ResNeXt: A deep learning-enhanced framework for high-accuracy Japonica rice varietal classification in precision agriculture
inferred← citeshttps://doi.org/10.1016/j.indcrop.2026.123736openalex-snapshot
Integrating UAV-based dynamic phenotyping and GWAS to decipher the genetic basis of cotton defoliation
inferred← citeshttps://doi.org/10.1016/j.infgeo.2025.100007openalex-snapshot
Exploring future GIS visions in the era of the scientific and technological revolution
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.11.025openalex-snapshot
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.02.022openalex-snapshot
Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.06.016openalex-snapshot
Lever-arm and boresight correction, and field of view determination of a spectroradiometer mounted on an unmanned aircraft system
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.06.017openalex-snapshot
Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.12.006openalex-snapshot
Optimising drone flight planning for measuring horticultural tree crop structure
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.02.010openalex-snapshot
Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.09.006openalex-snapshot
Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.09.025openalex-snapshot
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.12.006openalex-snapshot
UAV in the advent of the twenties: Where we stand and what is next
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.12.002openalex-snapshot
Impact of sun-view geometry on canopy spectral reflectance variability
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.02.020openalex-snapshot
PROSAIL-Net: A transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.03.021openalex-snapshot
Efficient metric-resolution land cover mapping using open-access low resolution annotations with prototype learning and modified Segment Anything model
inferred← citeshttps://doi.org/10.1016/j.jag.2018.10.018openalex-snapshot
Comparison of four UAV georeferencing methods for environmental monitoring purposes focusing on the combined use with airborne and satellite remote sensing platforms
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102281openalex-snapshot
Mapping the fractional coverage of the invasive shrub Ulex europaeus with multi-temporal Sentinel-2 imagery utilizing UAV orthoimages and a new spatial optimization approach
inferred← citeshttps://doi.org/10.1016/j.jag.2021.102391openalex-snapshot
Comparing, validating and improving the performance of reflectance obtention method for UAV-Remote sensing
inferred← citeshttps://doi.org/10.1016/j.jag.2022.102968openalex-snapshot
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing
inferred← citeshttps://doi.org/10.1016/j.jag.2022.103147openalex-snapshot
FluoCat: A cable-suspended multi-sensor system for the vegetation SIF Cal/Val monitoring and estimation of effective sunlit surface fluorescence
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104043openalex-snapshot
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104198openalex-snapshot
Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104737openalex-snapshot
Assessment of different remote sensing techniques to estimate the CWSI of almond trees using canopy temperature
inferred← citeshttps://doi.org/10.1016/j.jag.2026.105324openalex-snapshot
UAV-based built environment perception: Progress, challenges, prospects, and regulatory contexts
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133403openalex-snapshot
A novel approach for tracking the diurnal dynamics of chlorophyll-a in lakes using UAV hyperspectral images
inferred← citeshttps://doi.org/10.1016/j.jplph.2025.154542openalex-snapshot
A review of the journey of field crop phenotyping: From trait stamp collections and fancy robots to phenomics-informed crop performance predictions
inferred← citeshttps://doi.org/10.1016/j.jqsrt.2022.108265openalex-snapshot
Spectral invariants in ultra-high spatial resolution hyperspectral images
inferred← citeshttps://doi.org/10.1016/j.jrras.2025.102048openalex-snapshot
Infrared thermal radiation image inspection based on optical network transmission application in cross border E-commerce product selection management
inferred← citeshttps://doi.org/10.1016/j.jtte.2025.07.007openalex-snapshot
Integrating urban air mobility, unmanned aerial systems, and eVTOL in the low-altitude economy: Bibliometric analysis of research hotspots and development trends
inferred← citeshttps://doi.org/10.1016/j.landurbplan.2021.104190openalex-snapshot
Dramatic mariculture expansion and associated driving factors in Southeastern China
inferred← citeshttps://doi.org/10.1016/j.mex.2023.101998openalex-snapshot
Spatial response resampling (SR2): Accounting for the spatial point spread function in hyperspectral image resampling
inferred← citeshttps://doi.org/10.1016/j.microc.2023.108599openalex-snapshot
Mapping hyperspectral NIR images using supervised self-organizing maps: Discrimination of weedy rice seeds
inferred← citeshttps://doi.org/10.1016/j.molp.2020.01.008openalex-snapshot
Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives
inferred← citeshttps://doi.org/10.1016/j.nanoen.2022.107871openalex-snapshot
Arc-shaped flutter-driven wind speed sensor based on triboelectric nanogenerator for unmanned aerial vehicle
inferred← citeshttps://doi.org/10.1016/j.ophoto.2022.100015openalex-snapshot
Geometric calibration of a hyperspectral frame camera with simultaneous determination of sensors misalignment
inferred← citeshttps://doi.org/10.1016/j.ophoto.2024.100062openalex-snapshot
Deep learning techniques for hyperspectral image analysis in agriculture: A review
inferred← citeshttps://doi.org/10.1016/j.optcom.2023.129703openalex-snapshot
Off-axis spectral confocal metasurfaces with linear dispersion in a broad bandwidth
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2021.104252openalex-snapshot
Multi-scale, multi-sensor data integration for automated 3-D geological mapping
inferred← citeshttps://doi.org/10.1016/j.pce.2025.103977openalex-snapshot
Intercomparison of machine learning models for estimating leaf area index of rice using UAV-based multispectral imagery
inferred← citeshttps://doi.org/10.1016/j.plaphe.2025.100046openalex-snapshot
Analysis of variance and its sources in UAV-based multi-view thermal imaging of wheat plots
inferred← citeshttps://doi.org/10.1016/j.plaphe.2025.100109openalex-snapshot
Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton
inferred← citeshttps://doi.org/10.1016/j.plaphe.2025.100141openalex-snapshot
Leveraging UAV hyperspectral imaging for crop physiology and biochemistry: A comprehensive review of feature extraction and selection methods
inferred← citeshttps://doi.org/10.1016/j.plaphe.2026.100262openalex-snapshot
LUF-net: A physically informed color calibration method for UAV RGB images based on exposure and irradiance information
inferred← citeshttps://doi.org/10.1016/j.rsase.2022.100712openalex-snapshot
A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101706openalex-snapshot
The use of Unmanned Aerial Vehicle (UAV) remotely sensed data and biophysical variables to predict maize Above-Ground Biomass (AGB) in small-scale farming systems
inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101774openalex-snapshot
Aboveground dry biomass modeling with Remotely Piloted Aircraft in Brazilian Savanna: a case study in an experimental area under reduced-impact logging (2005–2021)
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111679openalex-snapshot
A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111830openalex-snapshot
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112396openalex-snapshot
Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112691openalex-snapshot
Direct reflectance transformation methodology for drone-based hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112719openalex-snapshot
Hyperspectral reflectance measurements from UAS under intermittent clouds: Correcting irradiance measurements for sensor tilt
inferred← citeshttps://doi.org/10.1016/j.rse.2022.112986openalex-snapshot
Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: Modelling and validation in the context of plant phenotyping
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113106openalex-snapshot
UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113198openalex-snapshot
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113958openalex-snapshot
Mapping functional diversity of canopy physiological traits using UAS imaging spectroscopy
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114310openalex-snapshot
Unoccupied aerial system (UAS) Structure-from-Motion canopy fuel parameters: Multisite area-based modelling across forests in California, USA
inferred← citeshttps://doi.org/10.1016/j.rse.2025.115085openalex-snapshot
Detecting plant physiological changes under stress using sun-induced chlorophyll fluorescence from mid-spectral resolution imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115403openalex-snapshot
Evaluating the correction methods for NDVI angular effect based on decametric resolution BRDF observations over cropland
inferred← citeshttps://doi.org/10.1016/j.scienta.2024.113688openalex-snapshot
Navigating the landscape of precision horticulture: Sustainable agriculture in the digital Age
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.140162openalex-snapshot
Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2021.147758openalex-snapshot
Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2022.159741openalex-snapshot
Marine environmental monitoring with unmanned vehicle platforms: Present applications and future prospects
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.165914openalex-snapshot
Nitrogen addition changes the canopy biological characteristics of dominant tree species in an evergreen broad-leaved forest
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.180510openalex-snapshot
Assessing thermal and hydrological responses to montane peatland rewetting using UAV monitoring
inferred← citeshttps://doi.org/10.1016/j.scs.2025.106165openalex-snapshot
How to classify microclimates more validly and finely? A novel method for mapping local climate zone (LCZ) on micro-scales
inferred← citeshttps://doi.org/10.1016/j.scs.2026.107184openalex-snapshot
Microclimatic dynamics and hydrological patterns in urban heat islands - A comprehensive perspective
inferred← citeshttps://doi.org/10.1016/j.sna.2022.113696openalex-snapshot
Textile-based flexible and printable sensors for next generation uses and their contemporary challenges: A critical review
inferred← citeshttps://doi.org/10.1016/j.snb.2022.132235openalex-snapshot
An ultralight dual-wavelength and dual-beam chemical sensor on small UAV for in-situ determination of phosphate and nitrite in surface water
inferred← citeshttps://doi.org/10.1016/j.softx.2025.102150openalex-snapshot
ReflectDetect: A software tool for AprilTag-guided in-flight radiometric calibration for UAV-mounted 2D snapshot multi-camera imagery
inferred← citeshttps://doi.org/10.1016/j.srs.2025.100330openalex-snapshot
A spectral-preserving resampling for spatial upscaling of hyperspectral imagery
inferred← citeshttps://doi.org/10.1016/j.stress.2024.100464openalex-snapshot
UAV remote sensing phenotyping of wheat collection for response to water stress and yield prediction using machine learning
inferred← citeshttps://doi.org/10.1016/j.tplants.2018.11.007openalex-snapshot
Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
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