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Generation and evaluation of the VIIRS land surface phenology product
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The False Spring of 2012, Earliest in North American Record
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Joint Polar Satellite System: The United States next generation civilian polar‐orbiting environmental satellite system
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An initial assessment of Suomi NPP VIIRS vegetation index EDR
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Comparisons of global land surface seasonality and phenology derived from AVHRR, MODIS, and VIIRS data
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Land and cryosphere products from Suomi NPP VIIRS: Overview and status
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Land remote sensing and global environmental change : NASA's earth observing system and the science of ASTER and MODIS
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Biophysical Applications of Satellite Remote Sensing
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Indices of Vegetation Activity
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Phenological research: Methods for environmental and climate change analysis
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Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology
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Phenology: An Integrative Environmental Science
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Remote Sensing of Land Surface Phenology: A Prospectus
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Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications
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Landscape phenology: an integrative approach to seasonal vegetation dynamics
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inferredcites →https://doi.org/10.1016/j.agrformet.2017.04.009openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.agrformet.2018.03.003openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ecolind.2017.02.024openalex-snapshot
Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations
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Terrestrial vegetation and water balance—hydrological evaluation of a dynamic global vegetation model
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Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan
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inferredcites →https://doi.org/10.1016/j.rse.2006.08.002openalex-snapshot
A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data
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Development of a two-band enhanced vegetation index without a blue band
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Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest?
inferredcites →https://doi.org/10.1016/j.rse.2010.04.005openalex-snapshot
Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product
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Monitoring fall foliage coloration dynamics using time-series satellite data
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inferredcites →https://doi.org/10.1016/j.rse.2013.01.011openalex-snapshot
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
inferredcites →https://doi.org/10.1016/j.rse.2014.03.001openalex-snapshot
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Reconstruction of a complete global time series of daily vegetation index trajectory from long-term AVHRR data
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Comparing land surface phenology with leafing and flowering observations from the PlantWatch citizen network
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Estimating the effective spatial resolution of the operational BRDF, albedo, and nadir reflectance products from MODIS and VIIRS
inferredcites →https://doi.org/10.1016/j.rse.2016.11.004openalex-snapshot
Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
inferredcites →https://doi.org/10.1016/j.rse.2017.01.001openalex-snapshot
Exploration of scaling effects on coarse resolution land surface phenology
inferredcites →https://doi.org/10.1016/j.rse.2017.09.020openalex-snapshot
Evaluation of the VIIRS BRDF, Albedo and NBAR products suite and an assessment of continuity with the long term MODIS record
inferredcites →https://doi.org/10.1016/j.rse.2018.02.001openalex-snapshot
Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products
inferredcites →https://doi.org/10.1016/j.tree.2007.04.003openalex-snapshot
Shifting plant phenology in response to global change
inferredcites →https://doi.org/10.1016/s0034-4257(00)00175-9openalex-snapshot
Land-Surface Phenologies from AVHRR Using the Discrete Fourier Transform
inferredcites →https://doi.org/10.1016/s0034-4257(02)00091-3openalex-snapshot
First operational BRDF, albedo nadir reflectance products from MODIS
inferredcites →https://doi.org/10.1016/s0034-4257(02)00096-2openalex-snapshot
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
inferredcites →https://doi.org/10.1016/s0034-4257(02)00135-9openalex-snapshot
Monitoring vegetation phenology using MODIS
inferredcites →https://doi.org/10.1016/s0168-1923(00)00228-8openalex-snapshot
A spectral analysis of biosphere–atmosphere trace gas flux densities and meteorological variables across hour to multi-year time scales
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Satellite monitoring of vegetation dynamics: Sensitivity enhancement by the wide dynamic range vegetation index
inferredcites →https://doi.org/10.1029/2005gl025583openalex-snapshot
Amazon rainforests green‐up with sunlight in dry season
inferredcites →https://doi.org/10.1029/2006gb002888openalex-snapshot
Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades
inferredcites →https://doi.org/10.1029/2006jg000217openalex-snapshot
Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements
inferredcites →https://doi.org/10.1029/2007gl031447openalex-snapshot
Diverse responses of vegetation phenology to a warming climate
inferredcites →https://doi.org/10.1029/2012gl054431openalex-snapshot
Predicting changes in temperate forest budburst using continental‐scale observations and models
inferredcites →https://doi.org/10.1029/2012jg002088openalex-snapshot
Phenological versus meteorological controls on land‐atmosphere water and carbon fluxes
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A continental phenology model for monitoring vegetation responses to interannual climatic variability
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Evaluation of terrestrial carbon cycle models through simulations of the seasonal cycle of atmospheric CO2: First results of a model intercomparison study
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A globally coherent fingerprint of climate change impacts across natural systems
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Direct human influence on atmospheric CO2 seasonality from increased cropland productivity
inferredcites →https://doi.org/10.1038/ncomms7911openalex-snapshot
Leaf onset in the northern hemisphere triggered by daytime temperature
inferredcites →https://doi.org/10.1038/sdata.2015.38openalex-snapshot
Lilac and honeysuckle phenology data 1956–2014
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Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks
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Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation
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Sensitivity of vegetation phenology detection to the temporal resolution of satellite data
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Global land surface phenology trends from GIMMS database
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The suitability of multi-temporal web-enabled Landsat data NDVI for phenological monitoring – a comparison with flux tower and MODIS NDVI
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ON THE VALIDATION OF MODELS
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Spring plant phenology and false springs in the conterminous US during the 21st century
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Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests
inferredcites →https://doi.org/10.1098/rstb.2010.0021openalex-snapshot
Community and ecosystem responses to recent climate change
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An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data
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Seasonality extraction by function fitting to time-series of satellite sensor data
inferredcites →https://doi.org/10.1109/tgrs.2006.872081openalex-snapshot
On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance
inferredcites →https://doi.org/10.1111/gcb.13122openalex-snapshot
Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States
inferredcites →https://doi.org/10.1111/gcb.13297openalex-snapshot
Phenology and species determine growing‐season albedo increase at the altitudinal limit of shrub growth in the sub‐Arctic
inferredcites →https://doi.org/10.1111/j.1365-2486.2005.001012.xopenalex-snapshot
Spatial analysis of growing season length control over net ecosystem exchange
inferredcites →https://doi.org/10.1111/j.1365-2486.2005.00949.xopenalex-snapshot
Land surface phenology and temperature variation in the International Geosphere–Biosphere Program high‐latitude transects
inferredcites →https://doi.org/10.1111/j.1365-2486.2009.01910.xopenalex-snapshot
Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006
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Landscape controls on the timing of spring, autumn, and growing season length in mid‐ A tlantic forests
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Nitrogen storage and seasonal nitrogen cycling in Populus: bridging molecular physiology and ecophysiology
inferredcites →https://doi.org/10.1126/science.1186473openalex-snapshot
Phenology Under Global Warming
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Consequences of climate change for biogeochemical cycling in forests of northeastern North AmericaThis article is one of a selection of papers from NE Forests 2100: A Synthesis of Climate Change Impacts on Forests of the Northeastern US and Eastern Canada.
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Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements
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Postulated Feedbacks of Deciduous Forest Phenology on Seasonal Climate Patterns in the Western Canadian Interior
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Seasonal Variation in Radiative and Turbulent Exchange at a Deciduous Forest in Central Massachusetts
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Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity
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Trends and Natural Variability of Spring Onset in the Coterminous United States as Evaluated by a New Gridded Dataset of Spring Indices
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Diagnosing Seasonal Vegetation Impacts on Evapotranspiration and Its Partitioning at the Catchment Scale during SMEX04–NAME
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Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century
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Phenological tracking enables positive species responses to climate change
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Species‐specific phenological responses to winter temperature and precipitation in a water‐limited ecosystem
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Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery
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Climate Change 2007: Impacts, Adaptation and Vulnerability
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Phenology-guided Bayesian-CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.03.017openalex-snapshot
Evaluation of PlanetScope-detected plant-specific phenology using infrared-enabled PhenoCam observations in semi-arid ecosystems
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.03.018openalex-snapshot
A satellite-field phenological bridging framework for characterizing community-level spring forest phenology using multi-scale satellite imagery
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.07.031openalex-snapshot
From satellite-based phenological metrics to crop planting dates: Deriving field-level planting dates for corn and soybean in the U.S. Midwest
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.08.009openalex-snapshot
A spatiotemporal shape model fitting method for within-season crop phenology detection
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.05.013openalex-snapshot
Identify and track white flower and leaf phenology of deciduous broadleaf trees in spring with time series PlanetScope images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.12.010openalex-snapshot
Improvement of the consistency among long-term global land surface phenology products derived from AVHRR, MODIS, and VIIRS observations
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.01.027openalex-snapshot
Identifying green leaf and leaf phenology of large trees and forests by time series PlanetScope and Sentinel-2 images and the chlorophyll and green leaf indicator (CGLI)
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.02.032openalex-snapshot
Towards operational tracking of weekly crop progress using VIIRS land surface phenology product across the continental United States
inferred← citeshttps://doi.org/10.1016/j.jag.2019.02.011openalex-snapshot
Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network
inferred← citeshttps://doi.org/10.1016/j.jag.2021.102323openalex-snapshot
Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape
inferred← citeshttps://doi.org/10.1016/j.jag.2021.102545openalex-snapshot
Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data
inferred← citeshttps://doi.org/10.1016/j.jag.2023.103422openalex-snapshot
A novel approach to detect the spring corn phenology using layered strategy
inferred← citeshttps://doi.org/10.1016/j.jag.2024.103855openalex-snapshot
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104526openalex-snapshot
Improving crop condition monitoring using phenologically aligned vegetation index anomalies – A case study in central Iowa
inferred← citeshttps://doi.org/10.1016/j.jenvman.2025.124326openalex-snapshot
Comparative analysis of global urban land surface phenology between the MODIS and VIIRS products and extraction methods
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.130070openalex-snapshot
Daily dynamic thresholds of different agricultural drought grades for summer maize based on the Vegetation Water Index
inferred← citeshttps://doi.org/10.1016/j.pce.2026.104321openalex-snapshot
Remote sensing applications for assessing climate change impacts on deciduous forests—A systematic review
inferred← citeshttps://doi.org/10.1016/j.rsase.2026.102004openalex-snapshot
Winter wheat yield prediction based on a multi-year phenological modeling from Sentinel-1 radar vegetation indices and machine learning
inferred← citeshttps://doi.org/10.1016/j.rse.2019.03.034openalex-snapshot
Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111383openalex-snapshot
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111477openalex-snapshot
Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111511openalex-snapshot
A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111752openalex-snapshot
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111956openalex-snapshot
Understanding the continuous phenological development at daily time step with a Bayesian hierarchical space-time model: impacts of climate change and extreme weather events
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112133openalex-snapshot
Investigation of land surface phenology detections in shrublands using multiple scale satellite data
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112337openalex-snapshot
Phenological corrections to a field-scale, ET-based crop stress indicator: An application to yield forecasting across the U.S. Corn Belt
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112456openalex-snapshot
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112466openalex-snapshot
Using time series of MODIS land surface phenology to model temperature and photoperiod controls on spring greenup in North American deciduous forests
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112471openalex-snapshot
A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112627openalex-snapshot
Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112716openalex-snapshot
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113059openalex-snapshot
A deep neural network based SMAP soil moisture product
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113266openalex-snapshot
Remote sensing of land change: A multifaceted perspective
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113275openalex-snapshot
A novel algorithm for the generation of gap-free time series by fusing harmonized Landsat 8 and Sentinel-2 observations with PhenoCam time series for detecting land surface phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113429openalex-snapshot
An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113729openalex-snapshot
Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113827openalex-snapshot
Combining shape and crop models to detect soybean growth stages
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113918openalex-snapshot
Need and vision for global medium-resolution Landsat and Sentinel-2 data products
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113972openalex-snapshot
Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with VIIRS observations over the CONUS
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114407openalex-snapshot
A new constant scattering angle solar geometry definition for normalization of GOES-R ABI reflectance times series to support land surface phenology studies
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114546openalex-snapshot
A temporal attention-based multi-scale generative adversarial network to fill gaps in time series of MODIS data for land surface phenology extraction
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114605openalex-snapshot
Near real-time corn and soybean mapping at field-scale by blending crop phenometrics with growth magnitude from multiple temporal and spatial satellite observations
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114624openalex-snapshot
Cross-Scalar Analysis of Multisensor Land Surface Phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114656openalex-snapshot
A transformer-based model for detecting land surface phenology from the irregular harmonized Landsat and Sentinel-2 time series across the United States
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114803openalex-snapshot
Improvement of land surface phenology monitoring by fusing VIIRS observations with GOES-16/17 ABI time series
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114982openalex-snapshot
Development of an enhanced hybrid piecewise logistic model for retrieving land surface phenology in drylands
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114995openalex-snapshot
Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114997openalex-snapshot
Remote sensing of vegetation phenology in the northern hemisphere from multi-channel passive microwave measurements of Chinese FengYun-3D satellite
inferred← citeshttps://doi.org/10.1016/j.rse.2025.115024openalex-snapshot
An insight into long-term continuity in global land surface phenology: A comparative analysis of MODIS and VIIRS products
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115588openalex-snapshot
Enhanced land surface phenology detections in the western U.S. drylands by fusing harmonized Landsat and Sentinel-2 observations with near-surface PhenoCam time series
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115680openalex-snapshot
Intercomparison and evaluation of global land surface phenology (LSP) products
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.137948openalex-snapshot
Combined MODIS land surface temperature and greenness data for modeling vegetation phenology, physiology, and gross primary production in terrestrial ecosystems
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.138869openalex-snapshot
Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.144011openalex-snapshot
The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.172014openalex-snapshot
Comparison of change-based and shape-based data fusion methods in fine-resolution land surface phenology monitoring with Landsat and Sentinel-2 data
inferred← citeshttps://doi.org/10.1016/j.scs.2026.107259openalex-snapshot
Tall and dense urban forms extend growing seasons in Northern cities
inferred← citeshttps://doi.org/10.1016/j.srs.2021.100030openalex-snapshot
Exploration of global spatiotemporal changes of fall foliage coloration in deciduous forests and shrubs using the VIIRS land surface phenology product
inferred← citeshttps://doi.org/10.1016/j.srs.2023.100084openalex-snapshot
Generation and comprehensive validation of 30 m conterminous United States Landsat percent tree cover and forest cover loss annual products
inferred← citeshttps://doi.org/10.1016/j.still.2020.104838openalex-snapshot
Phenology-based classification of crop species and rotation types using fused MODIS and Landsat data: The comparison of a random-forest-based model and a decision-rule-based model
inferred← citeshttps://doi.org/10.1016/j.ufug.2024.128585openalex-snapshot
Accelerating urban warming effects on the spring phenology in cold cities but decelerating in warm cities
inferred← citeshttps://doi.org/10.1016/j.ufug.2025.128739openalex-snapshot
Three-decade urbanization effects on urban land surface phenology in the mid-high latitude Northern Hemisphere
inferred← citeshttps://doi.org/10.1029/2022gl098662openalex-snapshot
Diverse Responses of Multiple Satellite‐Derived Vegetation Greenup Onsets to Dry Periods in the Amazon
inferred← citeshttps://doi.org/10.1029/2023ef004127openalex-snapshot
Asymmetrical Impact of Daytime and Nighttime Warming on the Interannual Variation of Urban Spring Vegetation Phenology
inferred← citeshttps://doi.org/10.1029/2023jg007689openalex-snapshot
Climatic Constraints of Spring Phenology and Its Variability on the Mongolian Plateau From 1982 to 2021
inferred← citeshttps://doi.org/10.1038/s41467-026-71959-yopenalex-snapshot
Ozone mitigates extended growing season and enhanced vegetation greenness driven by environmental change
inferred← citeshttps://doi.org/10.1038/s41597-022-01570-5openalex-snapshot
A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites
inferred← citeshttps://doi.org/10.1038/s41597-023-02605-1openalex-snapshot
HP-LSP: A reference of land surface phenology from fused Harmonized Landsat and Sentinel-2 with PhenoCam data
inferred← citeshttps://doi.org/10.1038/s41597-025-05519-2openalex-snapshot
An Enhanced Phenology Dataset for Global Drylands from 2001 to 2019
inferred← citeshttps://doi.org/10.1038/s41598-020-74804-4openalex-snapshot
Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016
inferred← citeshttps://doi.org/10.1038/s41598-026-38652-yopenalex-snapshot
Land surface phenometrics and their responses to climatic variables in the semi-arid rangelands of the central Zagros mountains
inferred← citeshttps://doi.org/10.1071/wf23205openalex-snapshot
Vegetation phenology as a key driver for fire occurrence in the UK and comparable humid temperate regions
inferred← citeshttps://doi.org/10.1073/pnas.2501844122openalex-snapshot
Cooling outweighs warming across phenological transitions in the Northern Hemisphere
inferred← citeshttps://doi.org/10.1080/10095020.2023.2250378openalex-snapshot
Integrating vegetation phenological characteristics and polarization features with object-oriented techniques for grassland type identification
inferred← citeshttps://doi.org/10.1080/15481603.2022.2143661openalex-snapshot
Global Assessment of Cumulative and Time-Lag Effects of Drought on Land Surface Phenology
inferred← citeshttps://doi.org/10.1080/17538947.2026.2652659openalex-snapshot
Improving the temporal accuracy of vegetation phenology indicators through the integration of satellite data and high-resolution near-surface camera observations
inferred← citeshttps://doi.org/10.1080/19479832.2019.1625977openalex-snapshot
Remote sensing data quality model: from data sources to lifecycle phases
inferred← citeshttps://doi.org/10.1088/1748-9326/ab04d2openalex-snapshot
Impacts of land cover and land use change on long-term trend of land surface phenology: a case study in agricultural ecosystems
inferred← citeshttps://doi.org/10.1088/1748-9326/acca34openalex-snapshot
Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes
inferred← citeshttps://doi.org/10.1088/1748-9326/acd2ecopenalex-snapshot
Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated GEDI lidar
inferred← citeshttps://doi.org/10.1109/igarss52108.2023.10281463openalex-snapshot
Imaging the World During Dry and Wet Seasons, Global Satellite Image Mosaics at Meter-Scale Resolution
inferred← citeshttps://doi.org/10.1109/jstars.2023.3237500openalex-snapshot
Towards Scalable Within-Season Crop Mapping With Phenology Normalization and Deep Learning
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3211269openalex-snapshot
Temporal Shape-Based Fusion Method to Generate Continuous Vegetation Index at Fine Spatial Resolution
inferred← citeshttps://doi.org/10.1111/1365-2745.70259openalex-snapshot
Phenophase‐specific climate impacts and legacy effects govern autumn phenological transitions across northern forest ecosystems
inferred← citeshttps://doi.org/10.1111/gcb.14627openalex-snapshot
Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere
inferred← citeshttps://doi.org/10.11834/jrs.20211601openalex-snapshot
Recent advances in remote sensing of vegetation phenology： Retrieval algorithm and validation strategy
inferred← citeshttps://doi.org/10.11922/11-6035.csd.2022.0065.zhopenalex-snapshot
A dataset of vegetation phenology and change trends with a resolution of 500m of on the Mongolian Plateau (2001–2019)
inferred← citeshttps://doi.org/10.14393/ufu.te.2023.23openalex-snapshot
Respostas ecofisiológicas de comunidades vegetais em áreas de cerrado rupestre a variações espaço-temporais e sazonais
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4251113/v1openalex-snapshot
Time-series of Landsat-based spectral indices for continental Europe for 2000--2022 to support soil health monitoring
inferred← citeshttps://doi.org/10.2139/ssrn.4875596openalex-snapshot
Leveraging Ground Sensor Networks to Evaluate Satellite-Based Land Surface Phenology in Smallholder Farming Systems
inferred← citeshttps://doi.org/10.2139/ssrn.4880011openalex-snapshot
Leveraging Ground Sensor Networks to Evaluate Satellite-Based Land Surface Phenology in Smallholder Farming Systems
inferred← citeshttps://doi.org/10.2139/ssrn.5062247openalex-snapshot
Improving Crop Condition Monitoring Using a Phenologically Corrected Vegetation Index – a Case Study in Central Iowa
inferred← citeshttps://doi.org/10.2139/ssrn.6300897openalex-snapshot
Monitoring winter wheat growth stages using a crop reference curve-based meteorology-adjusted model
inferred← citeshttps://doi.org/10.2139/ssrn.6333607openalex-snapshot
Monitoring winter wheat growth stages using a crop reference curve-based meteorology-adjusted model
inferred← citeshttps://doi.org/10.2139/ssrn.6333612openalex-snapshot
Monitoring winter wheat growth stages using a crop reference curve-based meteorology-adjusted model
inferred← citeshttps://doi.org/10.3389/fenvs.2023.1097249openalex-snapshot
phenoC++: An open-source tool for retrieving vegetation phenology from satellite remote sensing data
inferred← citeshttps://doi.org/10.3389/fpls.2023.1040758openalex-snapshot
Autumn phenology of tree species in China is associated more with climate than with spring phenology and phylogeny
inferred← citeshttps://doi.org/10.3389/fpls.2023.1141470openalex-snapshot
Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe
inferred← citeshttps://doi.org/10.3390/agriculture12070945openalex-snapshot
A Method for Prediction of Winter Wheat Maturity Date Based on MODIS Time Series and Accumulated Temperature
inferred← citeshttps://doi.org/10.3390/iocag2022-12261openalex-snapshot
Crop Identification by Machine Learning Algorithm and Sentinel-2 Data
inferred← citeshttps://doi.org/10.3390/land11101810openalex-snapshot
Spatiotemporal Analysis and War Impact Assessment of Agricultural Land in Ukraine Using RS and GIS Technology
inferred← citeshttps://doi.org/10.3390/land14112238openalex-snapshot
Vegetation Phenological Responses to Multi-Factor Climate Forcing on the Tibetan Plateau: Nonlinear and Spatially Heterogeneous Mechanisms
inferred← citeshttps://doi.org/10.3390/rs11121398openalex-snapshot
Interaction of Seasonal Sun-Angle and Savanna Phenology Observed and Modelled using MODIS
inferred← citeshttps://doi.org/10.3390/rs12030431openalex-snapshot
Precipitation and Minimum Temperature are Primary Climatic Controls of Alpine Grassland Autumn Phenology on the Qinghai-Tibet Plateau
inferred← citeshttps://doi.org/10.3390/rs12213524openalex-snapshot
Detecting Cover Crop End-Of-Season Using VENµS and Sentinel-2 Satellite Imagery
inferred← citeshttps://doi.org/10.3390/rs13030442openalex-snapshot
Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data
inferred← citeshttps://doi.org/10.3390/rs13061210openalex-snapshot
Exploring VIIRS Continuity with MODIS in an Expedited Capability for Monitoring Drought-Related Vegetation Conditions
inferred← citeshttps://doi.org/10.3390/rs13153015openalex-snapshot
Empirical Approach for Modelling Tree Phenology in Mixed Forests Using Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs13214378openalex-snapshot
National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs13214465openalex-snapshot
Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology
inferred← citeshttps://doi.org/10.3390/rs13245018openalex-snapshot
Assessing the Effects of Time Interpolation of NDVI Composites on Phenology Trend Estimation
inferred← citeshttps://doi.org/10.3390/rs13245074openalex-snapshot
Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset
inferred← citeshttps://doi.org/10.3390/rs13245080openalex-snapshot
Global Vegetation Photosynthetic Phenology Products Based on MODIS Vegetation Greenness and Temperature: Modeling and Evaluation
inferred← citeshttps://doi.org/10.3390/rs14051273openalex-snapshot
Spatial Difference between Temperature and Snowfall Driven Spring Phenology of Alpine Grassland Land Surface Based on Process-Based Modeling on the Qinghai–Tibet Plateau
inferred← citeshttps://doi.org/10.3390/rs14051296openalex-snapshot
Land Surface Phenology Retrieval through Spectral and Angular Harmonization of Landsat-8, Sentinel-2 and Gaofen-1 Data
inferred← citeshttps://doi.org/10.3390/rs14081812openalex-snapshot
Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI
inferred← citeshttps://doi.org/10.3390/rs14132964openalex-snapshot
Distribution and Attribution of Earlier Start of the Growing Season over the Northern Hemisphere from 2001–2018
inferred← citeshttps://doi.org/10.3390/rs14164027openalex-snapshot
Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data
inferred← citeshttps://doi.org/10.3390/rs14225725openalex-snapshot
Effect of Snow Cover on Detecting Spring Phenology from Satellite-Derived Vegetation Indices in Alpine Grasslands
inferred← citeshttps://doi.org/10.3390/rs15092413openalex-snapshot
Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery
inferred← citeshttps://doi.org/10.3390/rs15205042openalex-snapshot
Identifying Outliers of the MODIS Leaf Area Index Data by Including Temporal Patterns in Post-Processing
inferred← citeshttps://doi.org/10.3390/rs16091619openalex-snapshot
Mapping Quaking Aspen Using Seasonal Sentinel-1 and Sentinel-2 Composite Imagery across the Southern Rockies, USA
inferred← citeshttps://doi.org/10.3390/rs16122173openalex-snapshot
Using Geostationary Satellite Observations to Improve the Monitoring of Vegetation Phenology
inferred← citeshttps://doi.org/10.3390/rs16132309openalex-snapshot
Matching Spring Phenology Indicators in Ground Observations and Remote-Sensing Metrics
inferred← citeshttps://doi.org/10.3390/rs16234521openalex-snapshot
Country-Scale Crop-Specific Phenology from Disaggregated PROBA-V
inferred← citeshttps://doi.org/10.3390/rs17071233openalex-snapshot
Intercomparison of Leaf Area Index Products Derived from Satellite Data over the Heihe River Basin
inferred← citeshttps://doi.org/10.3390/rs17122059openalex-snapshot
Unraveling the Scale Dependency of SIF-Based Phenology: Amplified Trends and Climate Responses
inferred← citeshttps://doi.org/10.3390/rs17142336openalex-snapshot
Unlocking Potato Phenology: Harnessing Sentinel-1 and Sentinel-2 Synergy for Precise Crop Stage Detection
inferred← citeshttps://doi.org/10.3390/su15043365openalex-snapshot
Toward 30 m Fine-Resolution Land Surface Phenology Mapping at a Large Scale Using Spatiotemporal Fusion of MODIS and Landsat Data
inferred← citeshttps://doi.org/10.34133/2021/9859103openalex-snapshot
Constraints and Opportunities for Detecting Land Surface Phenology in Drylands
inferred← citeshttps://doi.org/10.34133/remotesensing.0118openalex-snapshot
Effectiveness of Spatiotemporal Data Fusion in Fine-Scale Land Surface Phenology Monitoring: A Simulation Study
inferred← citeshttps://doi.org/10.48550/arxiv.2009.05203openalex-snapshot
A Bayesian hierarchical model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images
inferred← citeshttps://doi.org/10.5194/essd-13-1461-2021openalex-snapshot
Standardized flux seasonality metrics: a companion dataset for FLUXNET annual product
inferred← citeshttps://doi.org/10.5194/essd-17-741-2025openalex-snapshot
Time series of Landsat-based bimonthly and annual spectral indices for continental Europe for 2000–2022
inferred← citeshttps://doi.org/10.5194/gmd-19-2551-2026openalex-snapshot
Advancing crop modeling and data assimilation using AquaCrop v7.2 in NASA's Land Information System Framework v7.5
inferred← citeshttps://doi.org/10.64628/aai.y7hsfenuyopenalex-snapshot
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