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Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Combining allometry and landsat-derived disturbance history to estimate tree biomass in subtropical planted forests
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111645openalex-snapshot
Optimizing Landsat time series length for regional mapping of lidar-derived forest structure
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111669openalex-snapshot
Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111691openalex-snapshot
A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112103openalex-snapshot
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112477openalex-snapshot
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112511openalex-snapshot
Scaled biomass estimation in woodland ecosystems: Testing the individual and combined capacities of satellite multispectral and lidar data
inferred← citeshttps://doi.org/10.1016/j.rse.2022.112919openalex-snapshot
Evaluating ICESat-2 for monitoring, modeling, and update of large area forest canopy height products
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113391openalex-snapshot
Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113931openalex-snapshot
Inter- and intra-year forest change detection and monitoring of aboveground biomass dynamics using Sentinel-2 and Landsat
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114322openalex-snapshot
High-resolution mapping of forest structure and carbon stock using multi-source remote sensing data in Japan
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114382openalex-snapshot
Monitoring spatially heterogeneous riparian vegetation around permanent waterholes: A method to integrate LiDAR and Landsat data for enhanced ecological interpretation of Landsat fPAR time-series
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114719openalex-snapshot
Synergistic estimation of mangrove canopy height across coastal China: Integrating SDGSAT-1 multispectral data with Sentinel-1/2 time-series imagery
inferred← citeshttps://doi.org/10.1016/j.srs.2025.100318openalex-snapshot
Bridging spatio-temporal gaps in ALS data using Landsat time series and forest disturbance-recovery metrics via multi-task neural networks
inferred← citeshttps://doi.org/10.1038/s41598-024-78615-9openalex-snapshot
Combining Sentinel-2 and diverse environmental data largely improved aboveground biomass estimation in China’s boreal forests
inferred← citeshttps://doi.org/10.1080/01431161.2017.1356488openalex-snapshot
A comparative assessment of multi-temporal Landsat 8 and machine learning algorithms for estimating aboveground carbon stock in coppice oak forests
inferred← citeshttps://doi.org/10.1080/01431161.2017.1399477openalex-snapshot
Improvement of land-cover classification over frequently cloud-covered areas using Landsat 8 time-series composites and an ensemble of supervised classifiers
inferred← citeshttps://doi.org/10.1080/01431161.2024.2326534openalex-snapshot
Characterizing post-fire northern boreal forest height dynamics
inferred← citeshttps://doi.org/10.1080/01431161.2024.2326537openalex-snapshot
Estimation of canopy height based on multi-source remote sensing data using forest structure aided sample selection
inferred← citeshttps://doi.org/10.1080/01431161.2026.2617734openalex-snapshot
Mapping the extent and severity of tree mortality and defoliation caused by spruce budworm using landsat time series
inferred← citeshttps://doi.org/10.1080/02827581.2016.1261935openalex-snapshot
Using canopy heights from digital aerial photogrammetry to enable spatial transfer of forest attribute models: a case study in central Europe
inferred← citeshttps://doi.org/10.1080/07038992.2024.2341762openalex-snapshot
Harmonizing GEDI and LVIS Data for Accurate and Large-Scale Mapping of Foliage Height Diversity
inferred← citeshttps://doi.org/10.1080/07038992.2026.2631482openalex-snapshot
Characterizing the Impact of Non-Stand Replacing Disturbances on LiDAR Based Forest Structure Using a Harmonized Landsat-Sentinel-2 Time-Series
inferred← citeshttps://doi.org/10.1080/10095020.2024.2449447openalex-snapshot
A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests
inferred← citeshttps://doi.org/10.1080/10095020.2025.2516609openalex-snapshot
Improving aboveground biomass estimation by integrating ICESat-2 LiDAR sampling and tree species stratification strategies using multi-source datasets
inferred← citeshttps://doi.org/10.1080/14498596.2020.1734110openalex-snapshot
Estimation of coppice forest characteristics using spatial and non-spatial models and Landsat data
inferred← citeshttps://doi.org/10.1080/15481603.2025.2555626openalex-snapshot
Upscaling wildfire consumption using UAV-LiDAR and Sentinel-2 data: a Mediterranean case study
inferred← citeshttps://doi.org/10.1080/17538947.2016.1187673openalex-snapshot
Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring
inferred← citeshttps://doi.org/10.1080/17538947.2023.2165180openalex-snapshot
Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China
inferred← citeshttps://doi.org/10.1088/1748-9326/aa8352openalex-snapshot
Mapping growing stock volume and forest live biomass: a case study of the Polissya region of Ukraine
inferred← citeshttps://doi.org/10.1088/1748-9326/ab8b11openalex-snapshot
Biomass status and dynamics over Canada’s forests: Disentangling disturbed area from associated aboveground biomass consequences
inferred← citeshttps://doi.org/10.1088/1748-9326/ab93f9openalex-snapshot
A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA
inferred← citeshttps://doi.org/10.1088/1755-1315/37/1/012026openalex-snapshot
A tool for assessing ecological status of forest ecosystem
inferred← citeshttps://doi.org/10.1093/forestry/cpad055openalex-snapshot
Predicting net growth rates in boreal forests using Landsat time series and permanent sample plot data
inferred← citeshttps://doi.org/10.1109/igarss.2017.8127523openalex-snapshot
A space-time data cube: Multi-temporal forest structure maps from landsat and lidar
inferred← citeshttps://doi.org/10.1109/jstars.2017.2748341openalex-snapshot
Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass
inferred← citeshttps://doi.org/10.1109/jstars.2021.3122509openalex-snapshot
Combining 3D Radiative Transfer Model and Convolutional Neural Network to Accurately Estimate Forest Canopy Cover From Very High-Resolution Satellite Images
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3123738openalex-snapshot
Hidden Markov Models for Annual Land Cover Mapping—Increasing Temporal Consistency and Completeness
inferred← citeshttps://doi.org/10.1117/1.jrs.14.022205openalex-snapshot
Modeling stand parameters for Pinus brutia (Ten.) using airborne LiDAR data: a case study in Bergama
inferred← citeshttps://doi.org/10.1139/cjfr-2014-0405openalex-snapshot
Temporal transferability of LiDAR-based imputation of forest inventory attributes
inferred← citeshttps://doi.org/10.1139/cjfr-2017-0346openalex-snapshot
Integrating forest inventory data and MODIS data to map species-level biomass in Chinese boreal forests
inferred← citeshttps://doi.org/10.1186/s13021-020-00151-6openalex-snapshot
Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data
inferred← citeshttps://doi.org/10.1186/s40663-020-00245-0openalex-snapshot
Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors
inferred← citeshttps://doi.org/10.1186/s42408-026-00567-4openalex-snapshot
Methods and implications of canopy base height characterization for modeling crown fire potential
inferred← citeshttps://doi.org/10.1371/journal.pone.0244846openalex-snapshot
FOSTER—An R package for forest structure extrapolation
inferred← citeshttps://doi.org/10.15287/afr.2018.1163openalex-snapshot
Mapping forest aboveground biomass with a simulated ICESat-2 vegetation canopy product and Landsat data
inferred← citeshttps://doi.org/10.17521/cjpe.2022.0223openalex-snapshot
Hyperspectral remote sensing of plant functional traits: monitoring techniques and future advances
inferred← citeshttps://doi.org/10.20868/upm.thesis.67377openalex-snapshot
Multi-sensor approach for evaluating forest resources in large areas
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3683587/v1openalex-snapshot
Optimizing Carbon Stock Estimation in Tree Vegetation through PRISMA Hyperspectral Remote Sensing Data and Machine Learning Approach: A Case Study in Mount Merbabu National Park
inferred← citeshttps://doi.org/10.23917/forgeo.v31i1.3500openalex-snapshot
The Relationship between the Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial-Photo Data
inferred← citeshttps://doi.org/10.24124/2020/59028openalex-snapshot
Anthropogenic activities contribute to changes in forest cover in the shale oil and gas region of Northeastern British Columbia
inferred← citeshttps://doi.org/10.2478/fsmu-2020-0018openalex-snapshot
An indirect approach to predict deadwood biomass in forests of Ukrainian Polissya using Landsat images and terrestrial data
inferred← citeshttps://doi.org/10.2737/pnw-gtr-1004openalex-snapshot
Northwest Forest Plan—the first 25 years (1994–2018): status and trends of late-successional and old-growth forests
inferred← citeshttps://doi.org/10.2989/20702620.2018.1463150openalex-snapshot
Mapping tree aboveground biomass and carbon in Omo Forest Reserve Nigeria using Landsat 8 OLI data
inferred← citeshttps://doi.org/10.3389/frsen.2023.1196554openalex-snapshot
Evaluating GEDI data fusions for continuous characterizations of forest wildlife habitat
inferred← citeshttps://doi.org/10.3390/f10020125openalex-snapshot
Prediction of Diameter Distributions with Multimodal Models Using LiDAR Data in Subtropical Planted Forests
inferred← citeshttps://doi.org/10.3390/f10121073openalex-snapshot
Influence of Variable Selection and Forest Type on Forest Aboveground Biomass Estimation Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3390/f15040731openalex-snapshot
Interacting Sentinel-2A, Sentinel 1A, and GF-2 Imagery to Improve the Accuracy of Forest Aboveground Biomass Estimation in a Dry-Hot Valley
inferred← citeshttps://doi.org/10.3390/f15061055openalex-snapshot
Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches
inferred← citeshttps://doi.org/10.3390/f17050575openalex-snapshot
Measurement-Driven Estimates of Above-Ground Biomass Change in the Eastern Canadian Boreal Forests from Permanent Sample Plots and Landsat Time Series
inferred← citeshttps://doi.org/10.3390/f9030119openalex-snapshot
Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion
inferred← citeshttps://doi.org/10.3390/f9040157openalex-snapshot
Shifts in Forest Structure in Northwest Montana from 1972 to 2015 Using the Landsat Archive from Multispectral Scanner to Operational Land Imager
inferred← citeshttps://doi.org/10.3390/f9120758openalex-snapshot
Tree-Lists Estimation for Chinese Boreal Forests by Integrating Weibull Diameter Distributions with MODIS-Based Forest Attributes from kNN Imputation
inferred← citeshttps://doi.org/10.3390/land12050983openalex-snapshot
Nitrogenous and Phosphorus Soil Contents in Tierra del Fuego Forests: Relationships with Soil Organic Carbon, Climate, Vegetation and Landscape Metrics
inferred← citeshttps://doi.org/10.3390/rs10091338openalex-snapshot
A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada
inferred← citeshttps://doi.org/10.3390/rs10111677openalex-snapshot
Distribution Statistics Preserving Post-Processing Method With Plot Level Uncertainty Analysis for Remotely Sensed Data-Based Forest Inventory Predictions
inferred← citeshttps://doi.org/10.3390/rs10111825openalex-snapshot
A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data
inferred← citeshttps://doi.org/10.3390/rs11010097openalex-snapshot
Estimating Tree Volume Distributions in Subtropical Forests Using Airborne LiDAR Data
inferred← citeshttps://doi.org/10.3390/rs11030261openalex-snapshot
Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data
inferred← citeshttps://doi.org/10.3390/rs11070738openalex-snapshot
Improving Aboveground Biomass Estimation of Pinus densata Forests in Yunnan Using Landsat 8 Imagery by Incorporating Age Dummy Variable and Method Comparison
inferred← citeshttps://doi.org/10.3390/rs11091092openalex-snapshot
Extending ALS-Based Mapping of Forest Attributes with Medium Resolution Satellite and Environmental Data
inferred← citeshttps://doi.org/10.3390/rs11121503openalex-snapshot
Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning
inferred← citeshttps://doi.org/10.3390/rs11172005openalex-snapshot
Evaluating k-Nearest Neighbor (kNN) Imputation Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China
inferred← citeshttps://doi.org/10.3390/rs11202426openalex-snapshot
Morphological Characteristics of Tidal Creeks in the Central Coastal Region of Jiangsu, China, Using LiDAR
inferred← citeshttps://doi.org/10.3390/rs12010098openalex-snapshot
Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review
inferred← citeshttps://doi.org/10.3390/rs12010187openalex-snapshot
Regional-Scale Forest Mapping over Fragmented Landscapes Using Global Forest Products and Landsat Time Series Classification
inferred← citeshttps://doi.org/10.3390/rs12060954openalex-snapshot
Operational Large-Area Land-Cover Mapping: An Ethiopia Case Study
inferred← citeshttps://doi.org/10.3390/rs12061000openalex-snapshot
Mapping Forest Canopy Fuels in the Western United States with LiDAR–Landsat Covariance
inferred← citeshttps://doi.org/10.3390/rs12152438openalex-snapshot
Accuracy Assessments of Local and Global Forest Change Data to Estimate Annual Disturbances in Temperate Forests
inferred← citeshttps://doi.org/10.3390/rs12233947openalex-snapshot
Stand Characterization of Eucalyptus spp. Plantations in Uruguay Using Airborne Lidar Scanner Technology
inferred← citeshttps://doi.org/10.3390/rs13234763openalex-snapshot
Forest Structural Estimates Derived Using a Practical, Open-Source Lidar-Processing Workflow
inferred← citeshttps://doi.org/10.3390/rs14020271openalex-snapshot
Estimation of Individual Tree Biomass in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery
inferred← citeshttps://doi.org/10.3390/rs14112677openalex-snapshot
Extrapolation Assessment for Forest Structural Parameters in Planted Forests of Southern China by UAV-LiDAR Samples and Multispectral Satellite Imagery
inferred← citeshttps://doi.org/10.3390/rs14122743openalex-snapshot
Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region
inferred← citeshttps://doi.org/10.3390/rs14133023openalex-snapshot
An Advanced Framework for Multi-Scale Forest Structural Parameter Estimations Based on UAS-LiDAR and Sentinel-2 Satellite Imagery in Forest Plantations of Northern China
inferred← citeshttps://doi.org/10.3390/rs14225702openalex-snapshot
Mapping Soil Organic Carbon Content in Patagonian Forests Based on Climate, Topography and Vegetation Metrics from Satellite Imagery
inferred← citeshttps://doi.org/10.3390/rs15041096openalex-snapshot
A Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground Biomass from Multiple Satellite Data
inferred← citeshttps://doi.org/10.3390/rs15215083openalex-snapshot
Mapping of Rubber Forest Growth Models Based on Point Cloud Data
inferred← citeshttps://doi.org/10.3390/rs15225274openalex-snapshot
Bridging the Gap: Comprehensive Boreal Forest Complexity Mapping through LVIS Full-Waveform LiDAR, Single-Year and Time Series Landsat Imagery
inferred← citeshttps://doi.org/10.3390/rs16152690openalex-snapshot
Remote Sensing for Restoration Change Monitoring in Tropical Peat Swamp Forests in Malaysia
inferred← citeshttps://doi.org/10.3390/rs17101733openalex-snapshot
Assessing the Robustness of Multispectral Satellite Imagery with LiDAR Topographic Attributes and Ancillary Data to Predict Vertical Structure in a Wet Eucalypt Forest
inferred← citeshttps://doi.org/10.3390/rs18162644openalex-snapshot
Extracting Value from Fused Aerial and Terrestrial LiDAR Scans
inferred← citeshttps://doi.org/10.3390/rs8070595openalex-snapshot
Quantifying Live Aboveground Biomass and Forest Disturbance of Mountainous Natural and Plantation Forests in Northern Guangdong, China, Based on Multi-Temporal Landsat, PALSAR and Field Plot Data
inferred← citeshttps://doi.org/10.3390/rs9060598openalex-snapshot
Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA
inferred← citeshttps://doi.org/10.34133/remotesensing.0086openalex-snapshot
A Multifactor Weighting Method for Improved Clear View Compositing Using All Available Landsat 8 and Sentinel 2 Images in Google Earth Engine
inferred← citeshttps://doi.org/10.36930/40300111openalex-snapshot
Оцінювання втрат лісового покриву Українських Карпат дистанційними методами за матеріалами відкритих джерел супутникової інформації
inferred← citeshttps://doi.org/10.47328/ufvbbt.2021.077openalex-snapshot
Sensoriamento remoto na estimativa do estoque de carbono em fragmentos florestais da Mata Atlântica
inferred← citeshttps://doi.org/10.5194/essd-18-2075-2026openalex-snapshot
Airborne laser scanning transects over Canada's northern forests: lidar plots for science and application
inferred← citeshttps://doi.org/10.5194/gmd-15-7879-2022openalex-snapshot
Modeling the topographic influence on aboveground biomass using a coupled model of hillslope hydrology and ecosystem dynamics
inferred← citeshttps://doi.org/10.5424/fs/2019281-14221openalex-snapshot
Remote sensing for the Spanish forests in the 21st century: a review of advances, needs, and opportunities
inferred← citeshttps://doi.org/10.5751/ace-01397-140208openalex-snapshot
Monitoring boreal avian populations: how can we estimate trends and trajectories from noisy data?
inferred← citeshttps://doi.org/10.5772/intechopen.99509openalex-snapshot
Natural Disturbances and Protection Forests: At the Cutting Edge of Remote Sensing Technologies for the Rapid Assessment of Protective Effects against Rockfall
inferred← citeshttps://doi.org/10.62320/fm.v2i1.25openalex-snapshot
Long-term strategic forest planning based on biased remote sensing predictions
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