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Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The influence of temperature and climate change on the timing of pollen release in the Netherlands
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Global Terrestrial Gross and Net Primary Productivity from the Earth Observing System
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North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer
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Regional hydrologic and carbon balance responses of forests resulting from potential climate change
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West–east contrast of phenology and climate in northern Asia revealed using a remotely sensed vegetation index
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Spring phenology trends in Alberta, Canada: links to ocean temperature
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Phenology in central Europe - differences and trends of spring phenophases in urban and rural areas
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The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forests ecosystems: an overview
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Automatic corn-soybean classification using landsat MSS data. I. Near-harvest crop proportion estimation
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Automatic corn-soybean classification using Landsat MSS data. II. Early season crop proportion estimation
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Global discrimination of land cover types from metrics derived from AVHRR pathfinder data
inferredcites →https://doi.org/10.1016/j.jaridenv.2004.03.020openalex-snapshot
Assessing land cover performance in Senegal, West Africa using 1-km integrated NDVI and local variance analysis
inferredcites →https://doi.org/10.1016/j.rse.2004.12.011openalex-snapshot
Improvements of the MODIS terrestrial gross and net primary production global data set
inferredcites →https://doi.org/10.1016/j.rse.2005.11.012openalex-snapshot
Remote sensing of spring phenology in boreal regions: A free of snow-effect method using NOAA-AVHRR and SPOT-VGT data (1982–2004)
inferredcites →https://doi.org/10.1016/s0034-4257(00)00124-3openalex-snapshot
Impact of Tissue, Canopy, and Landscape Factors on the Hyperspectral Reflectance Variability of Arid Ecosystems
inferredcites →https://doi.org/10.1016/s0034-4257(02)00036-6openalex-snapshot
Designing a spectral index to estimate vegetation water content from remote sensing data
inferredcites →https://doi.org/10.1016/s0034-4257(02)00037-8openalex-snapshot
Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1
inferredcites →https://doi.org/10.1016/s0034-4257(02)00078-0openalex-snapshot
Global land cover mapping from MODIS: algorithms and early results
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)00093-7openalex-snapshot
Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data
inferredcites →https://doi.org/10.1016/s0034-4257(02)00096-2openalex-snapshot
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
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Monitoring vegetation phenology using MODIS
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Seasonal and interannual variability of energy fluxes over a broadleaved temperate deciduous forest in North America
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Adaptation of the CROPGRO growth model to velvet bean (Mucuna pruriens)
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Effects of temperature and photoperiod on phenology as a guide to the selection of annual legume cover and green manure crops for hillside farming systems
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Satellite observation of El Niño effects on Amazon Forest phenology and productivity
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Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999
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MODELING VEGETATION AS A DYNAMIC COMPONENT IN SOIL‐VEGETATION‐ATMOSPHERE TRANSFER SCHEMES AND HYDROLOGICAL MODELS
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Seasonality and trends of snow‐cover, vegetation index, and temperature in northern Eurasia
inferredcites →https://doi.org/10.1029/2004gl020137openalex-snapshot
The footprint of urban climates on vegetation phenology
inferredcites →https://doi.org/10.1029/2004jd005263openalex-snapshot
Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments
inferredcites →https://doi.org/10.1029/2005gl025000openalex-snapshot
El Niño–Southern Oscillation influences on the interannual variability of leaf appearance dates in central Siberia
inferredcites →https://doi.org/10.1029/97gb00330openalex-snapshot
A continental phenology model for monitoring vegetation responses to interannual climatic variability
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Relationship between atmospheric CO2 variations and a satellite-derived vegetation index
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Increased activity of northern vegetation inferred from atmospheric CO2 measurements
inferredcites →https://doi.org/10.1038/nature01286openalex-snapshot
A globally coherent fingerprint of climate change impacts across natural systems
inferredcites →https://doi.org/10.1080/014311600210209openalex-snapshot
Global land cover classification at 1 km spatial resolution using a classification tree approach
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Wheat yield estimates using multi-temporal NDVI satellite imagery
inferredcites →https://doi.org/10.1080/01431160310001647705openalex-snapshot
An AVHRR-based model of groundnut yields in the Peanut Basin of Senegal
inferredcites →https://doi.org/10.1080/0143116032000160471openalex-snapshot
Evapotranspiration estimation in the Yellow River Basin, China using integrated NDVI data
inferredcites →https://doi.org/10.1080/01431168508948283openalex-snapshot
Canopy reflectance, photosynthesis and transpiration
inferredcites →https://doi.org/10.1080/01431169008955174openalex-snapshot
A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery
inferredcites →https://doi.org/10.1080/01431169208904132openalex-snapshot
Assessment of millet yields and production in northern Burkina Faso using integrated NDVI from the AVHRR.
inferredcites →https://doi.org/10.1080/014311698214235openalex-snapshot
Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers
inferredcites →https://doi.org/10.1098/rsta.1983.0039openalex-snapshot
Multispectral remote sensing for the estimation of green leaf area index
inferredcites →https://doi.org/10.1109/tgrs.2002.802519openalex-snapshot
Seasonality extraction by function fitting to time-series of satellite sensor data
inferredcites →https://doi.org/10.1111/j.1529-8817.2003.00784.xopenalex-snapshot
Climate controls on vegetation phenological patterns in northern mid‐ and high latitudes inferred from MODIS data
inferredcites →https://doi.org/10.1111/j.1654-109x.2004.tb00611.xopenalex-snapshot
A test of the use of NDVI data to predict secondary productivity
inferredcites →https://doi.org/10.1126/science.1071828openalex-snapshot
Climatic Control of the High-Latitude Vegetation Greening Trend and Pinatubo Effect
inferredcites →https://doi.org/10.1175/1520-0442(1996)009<0676:arlspf>2.0.co;2openalex-snapshot
A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation
inferredcites →https://doi.org/10.1175/1520-0442(1997)010<1154:gsaovp>2.0.co;2openalex-snapshot
Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements
inferredcites →https://doi.org/10.1175/1520-0469(1990)047<2227:acsooo>2.0.co;2openalex-snapshot
A Composite Study of Onset of the Australian Summer Monsoon
inferredcites →https://doi.org/10.1890/0012-9658(1997)078[0953:aefnft]2.0.co;2openalex-snapshot
ANPP ESTIMATES FROM NDVI FOR THE CENTRAL GRASSLAND REGION OF THE UNITED STATES
inferredcites →https://doi.org/10.1890/1051-0761(2000)010[1620:idvcwg]2.0.co;2openalex-snapshot
INCORPORATING DYNAMIC VEGETATION COVER WITHIN GLOBAL CLIMATE MODELS
inferredcites →https://doi.org/10.2307/3235884openalex-snapshot
Measuring phenological variability from satellite imagery
inferredcites →https://doi.org/10.3732/ajb.91.8.1260openalex-snapshot
Herbarium specimens demonstrate earlier flowering times in response to warming in Boston

What points at this work

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

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Comparative Analysis of Global Urban Land Surface Phenology between the Modis and Viirs Products
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Mapping Global Land Surface Phenology with Esa's Proba-V Satellite
inferred← citeshttps://doi.org/10.1002/2015jd024406openalex-snapshot
Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo
inferred← citeshttps://doi.org/10.1002/2016jg003441openalex-snapshot
Characterizing land surface phenology and responses to rainfall in the Sahara desert
inferred← citeshttps://doi.org/10.1002/2017jg003811openalex-snapshot
Comparisons of global land surface seasonality and phenology derived from AVHRR, MODIS, and VIIRS data
inferred← citeshttps://doi.org/10.1002/ece3.361openalex-snapshot
Global remote sensing of water–chlorophyll ratio in terrestrial plant leaves
inferred← citeshttps://doi.org/10.1002/eco.2460openalex-snapshot
The use of remote sensing indices to understand flood‐recharged soil moisture impacts on trees in semi‐arid floodplains: A review
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Evaluation of a coupled event‐driven phenology and evapotranspiration model for croplands in the United States northern Great Plains
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Thermal growing season trends in east China, with emphasis on urbanization effects
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Coupled spatiotemporal variability of temperature and spring phenology in the Eastern United States
inferred← citeshttps://doi.org/10.1002/rse2.223openalex-snapshot
Regional evaluation of satellite‐based methods for identifying end of vegetation growing season
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Linking animal movement and remote sensing – mapping resource suitability from a remote sensing perspective
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Remote Sensing Phenology
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Land Surface Phenology
inferred← citeshttps://doi.org/10.1007/978-1-4419-6749-7_24openalex-snapshot
Aqua and Terra MODIS Albedo and Reflectance Anisotropy Products
inferred← citeshttps://doi.org/10.1007/978-1-4419-6749-7_31openalex-snapshot
Characterizing Global Land Cover Type and Seasonal Land Cover Dynamics at Moderate Spatial Resolution With MODIS Data
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Ormiscodes amphimone Outbreak Frequency Increased Since 2000 in Subantarctic Nothofagus pumilio Forests of Chilean Patagonia
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Land Surface Phenology in Global Change Studies
inferred← citeshttps://doi.org/10.1007/978-3-032-08718-8_20openalex-snapshot
Urban Heat Islands’ Dynamics and Vegetation Cover Changes’ Implications for Urban Sustainability: A Case Study of Facatativá Municipality, Colombia
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An Adaptive Learning-Based System for Precision Crop Yield Forecasting Using Data Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-319-15967-6_18openalex-snapshot
Land Surface Phenology Monitoring with SeaWinds Scatterometer Time Series in Eastern Asia
inferred← citeshttps://doi.org/10.1007/978-3-319-15967-6_8openalex-snapshot
Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data
inferred← citeshttps://doi.org/10.1007/978-3-642-25047-7_1openalex-snapshot
Indices of Vegetation Activity
inferred← citeshttps://doi.org/10.1007/978-94-007-6925-0_21openalex-snapshot
Remote Sensing of Land Surface Phenology: A Prospectus
inferred← citeshttps://doi.org/10.1007/978-94-007-6925-0_22openalex-snapshot
Near-Surface Sensor-Derived Phenology
inferred← citeshttps://doi.org/10.1007/978-981-15-4210-7_2openalex-snapshot
Climate Change and Vegetation Phenology
inferred← citeshttps://doi.org/10.1007/978-981-19-8765-6_5openalex-snapshot
Satellite-Derived Vegetation Indices as a Criterion for Assessing Green Exposure that is Related to Human Health Burdens
inferred← citeshttps://doi.org/10.1007/s00382-011-1064-7openalex-snapshot
The effects of boreal forest expansion on the summer Arctic frontal zone
inferred← citeshttps://doi.org/10.1007/s00484-013-0718-zopenalex-snapshot
Tree leaf out response to temperature: comparing field observations, remote sensing, and a warming experiment
inferred← citeshttps://doi.org/10.1007/s00484-014-0802-zopenalex-snapshot
Interannual variations and trends in global land surface phenology derived from enhanced vegetation index during 1982–2010
inferred← citeshttps://doi.org/10.1007/s00484-017-1358-5openalex-snapshot
Differentiated seasonal vegetation cover dynamics of degraded grasslands in Inner Mongolia recorded by continuous photography technique
inferred← citeshttps://doi.org/10.1007/s10336-021-01913-wopenalex-snapshot
Cross the sea where it is narrowest: migrations of Pacific Swifts (Apus pacificus) between Sakhalin (Russia) and Australia
inferred← citeshttps://doi.org/10.1007/s10342-021-01412-wopenalex-snapshot
Phenological shifts compensate warming-induced drought stress in southern Siberian Scots pines
inferred← citeshttps://doi.org/10.1007/s10584-012-0434-4openalex-snapshot
Specification of thermal growing season in temperate China from 1960 to 2009
inferred← citeshttps://doi.org/10.1007/s10980-011-9580-8openalex-snapshot
Topography-mediated controls on local vegetation phenology estimated from MODIS vegetation index
inferred← citeshttps://doi.org/10.1007/s10980-020-01109-2openalex-snapshot
Landscape-wide changes in land use and land cover correlate with, but rarely explain local biodiversity change
inferred← citeshttps://doi.org/10.1007/s10980-023-01595-0openalex-snapshot
Prediction-based approach for quantifying phenological mismatch across landscapes under climate change
inferred← citeshttps://doi.org/10.1007/s11119-020-09734-2openalex-snapshot
Real-time detection of rice phenology through convolutional neural network using handheld camera images
inferred← citeshttps://doi.org/10.1007/s11707-012-0321-3openalex-snapshot
Assessing phenological change in China from 1982 to 2006 using AVHRR imagery
inferred← citeshttps://doi.org/10.1007/s11707-014-0428-9openalex-snapshot
Trend analysis for evaluating the consistency of Terra MODIS and SPOT VGT NDVI time series products in China
inferred← citeshttps://doi.org/10.1007/s11707-018-0719-7openalex-snapshot
Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps
inferred← citeshttps://doi.org/10.1007/s11769-013-0637-2openalex-snapshot
Multiple cropping intensity in China derived from agro-meteorological observations and MODIS data
inferred← citeshttps://doi.org/10.1007/s11769-019-1070-yopenalex-snapshot
Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data
inferred← citeshttps://doi.org/10.1007/s11769-021-1204-xopenalex-snapshot
Vegetation Phenology in Permafrost Regions of Northeastern China Based on MODIS and Solar-induced Chlorophyll Fluorescence
inferred← citeshttps://doi.org/10.1007/s12237-025-01548-7openalex-snapshot
Quantifying Greenness Balance in Coastal Wetlands from Spartina Alterniflora Invasion and Tidal Flat Reclamation Using a Continuous Change Detection Model
inferred← citeshttps://doi.org/10.1007/s12518-021-00368-1openalex-snapshot
Assessing land surface phenology of the savanna ecosystem in Southeast Asia using Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index from 2002 to 2020
inferred← citeshttps://doi.org/10.1007/s12524-011-0125-zopenalex-snapshot
Deriving Crop Phenology Metrics and Their Trends Using Times Series NOAA-AVHRR NDVI Data
inferred← citeshttps://doi.org/10.1007/s13762-017-1283-5openalex-snapshot
Apple orchard phenology response to desiccation and temperature changes in Urmia Lake region
inferred← citeshttps://doi.org/10.1016/b978-0-12-385954-9.00022-8openalex-snapshot
High-level Land Product Integration Methods
inferred← citeshttps://doi.org/10.1016/b978-0-12-409548-9.10351-3openalex-snapshot
Land Surface Phenology: Climate Data Record and Real-Time Monitoring
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High-level land product integration methods
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Land Surface Phenology: Climate Data Record and Near Real-Time Monitoring
inferred← citeshttps://doi.org/10.1016/b978-0-443-21485-1.00057-1openalex-snapshot
Global land surface phenology product from VIIRS observations
inferred← citeshttps://doi.org/10.1016/j.agee.2008.10.017openalex-snapshot
Modeling gross primary productivity for winter wheat–maize double cropping system using MODIS time series and CO2 eddy flux tower data
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Phenological dynamics of irrigated and natural drylands in Central Asia before and after the USSR collapse
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Modeling gross primary production of irrigated and rain-fed maize using MODIS imagery and CO2 flux tower data
inferred← citeshttps://doi.org/10.1016/j.agrformet.2011.07.008openalex-snapshot
A comparison of multiple phenology data sources for estimating seasonal transitions in deciduous forest carbon exchange
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Prototype for monitoring and forecasting fall foliage coloration in real time from satellite data
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Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
inferred← citeshttps://doi.org/10.1016/j.agrformet.2014.01.003openalex-snapshot
Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai–Tibetan Plateau
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Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai–Tibetan Plateau from 1982 to 2011
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Monitoring vegetation phenology using an infrared-enabled security camera
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An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data
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Patterns of energy exchange for tropical ecosystems across a climate gradient in Mato Grosso, Brazil
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The match and mismatch between photosynthesis and land surface phenology of deciduous forests
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Responses of net primary productivity to phenological dynamics in the Tibetan Plateau, China
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Large-scale estimation of xylem phenology in black spruce through remote sensing
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Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales
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Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States
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Networked web-cameras monitor congruent seasonal development of birches with phenological field observations
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Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography
inferred← citeshttps://doi.org/10.1016/j.agrformet.2017.11.032openalex-snapshot
Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation
inferred← citeshttps://doi.org/10.1016/j.agrformet.2018.03.003openalex-snapshot
Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
inferred← citeshttps://doi.org/10.1016/j.agrformet.2018.03.010openalex-snapshot
Scaling up spring phenology derived from remote sensing images
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Assessing consistency of spring phenology of snow-covered forests as estimated by vegetation indices, gross primary production, and solar-induced chlorophyll fluorescence
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Autumn phenology of a temperate deciduous forest: Validation of remote sensing approach with decadal leaf-litterfall measurements
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Divergent responses of spring phenology to daytime and nighttime warming
inferred← citeshttps://doi.org/10.1016/j.agrformet.2020.107910openalex-snapshot
Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis
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Spring vegetation green-up dynamics in Central Europe based on 20-year long MODIS NDVI data
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Increasing importance of precipitation in spring phenology with decreasing latitudes in subtropical forest area in China
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A background-free phenology index for improved monitoring of vegetation phenology
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Modeling plant phenology by MODIS derived photochemical reflectance index (PRI)
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Local site conditions reduce interspecific differences in climate sensitivity between native and non-native pines
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Impact of snow on vegetation green-up dynamics on the Tibetan Plateau: Integration of survival analysis and remote sensing data
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Satellite detection of earlier wheat sowing in India and implications for yield trends
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Quantifying the variability in water use efficiency from the canopy to ecosystem scale across main croplands
inferred← citeshttps://doi.org/10.1016/j.biocon.2022.109781openalex-snapshot
Strengthening protected areas for climate refugia on the Tibetan Plateau, China
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The contributions of climate, permafrost, and snow factors to vegetation change in northern hemisphere permafrost regions
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Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas
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QPhenoMetrics: An open source software application to assess vegetation phenology metrics
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Integrating ecological niche and epidemiological models to predict wheat fusarium head blight using remote sensing and meteorological data
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An overview of recent remote sensing and GIS based research in ecological informatics
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2012.03.001openalex-snapshot
Using digital cameras for comparative phenological monitoring in an evergreen broad-leaved forest and a seasonal rain forest
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103216openalex-snapshot
Selecting of global phenological field observations for validating coarse AVHRR-derived forest phenology products based on spatial heterogeneity and temporal consistency
inferred← citeshttps://doi.org/10.1016/j.ecolind.2017.01.021openalex-snapshot
Quantification of the response of global terrestrial net primary production to multifactor global change
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.ecolind.2020.106260openalex-snapshot
Diverse effects of climate at different times on grassland phenology in mid-latitude of the Northern Hemisphere
inferred← citeshttps://doi.org/10.1016/j.ecolind.2021.107528openalex-snapshot
Mapping satellite-derived thermal parameters of canopy onset and assessing their temperature dependency for temperate forests in Korea
inferred← citeshttps://doi.org/10.1016/j.ecolind.2021.108042openalex-snapshot
Assessing the inter-annual variability of vegetation phenological events observed from satellite vegetation index time series in dryland sites
inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.110000openalex-snapshot
Land surface phenology indicators retrieved across diverse ecosystems using a modified threshold algorithm
inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.110448openalex-snapshot
Spatial heterogeneity of vegetation phenology caused by urbanization in China based on remote sensing
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2015.12.005openalex-snapshot
Multi-criteria evaluation of the suitability of growth functions for modeling remotely sensed phenology
inferred← citeshttps://doi.org/10.1016/j.ejrh.2024.101888openalex-snapshot
Streamflow response to land use/land cover change in the tropical Andes using multiple SWAT model variants
inferred← citeshttps://doi.org/10.1016/j.envres.2016.02.005openalex-snapshot
Understanding spatio-temporal variation of vegetation phenology and rainfall seasonality in the monsoon Southeast Asia
inferred← citeshttps://doi.org/10.1016/j.envsoft.2014.11.017openalex-snapshot
A spatially explicit land surface phenology data product for science, monitoring and natural resources management applications
inferred← citeshttps://doi.org/10.1016/j.envsoft.2016.05.010openalex-snapshot
A web-based application for beekeepers to visualise patterns of growth in floral resources using MODIS data
inferred← citeshttps://doi.org/10.1016/j.foreco.2016.11.020openalex-snapshot
The frankincense tree Boswellia neglecta reveals high potential for restoration of woodlands in the Horn of Africa
inferred← citeshttps://doi.org/10.1016/j.foreco.2020.118663openalex-snapshot
Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite phenological metrics
inferred← citeshttps://doi.org/10.1016/j.gloplacha.2020.103396openalex-snapshot
Identifying contributions of climatic and atmospheric changes to autumn phenology over mid-high latitudes of Northern Hemisphere
inferred← citeshttps://doi.org/10.1016/j.indic.2023.100285openalex-snapshot
Remote sensing for monitoring rangeland condition: Current status and development of methods
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.06.005openalex-snapshot
Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2012.02.009openalex-snapshot
Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2014.04.023openalex-snapshot
Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2016.02.010openalex-snapshot
Monitoring interannual variation in global crop yield using long-term AVHRR and MODIS observations
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.02.011openalex-snapshot
Refined shape model fitting methods for detecting various types of phenological information on major U.S. crops
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.04.012openalex-snapshot
Innovative pheno-network model in estimating crop phenological stages with satellite time series
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.10.016openalex-snapshot
Wide-area invasive species propagation mapping is possible using phenometric trends
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.11.027openalex-snapshot
Investigation of wildfire impacts on land surface phenology from MODIS time series in the western US forests
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.01.012openalex-snapshot
Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.08.020openalex-snapshot
Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.02.021openalex-snapshot
Regional evaluation of satellite-based methods for identifying leaf unfolding date
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.09.011openalex-snapshot
Hybrid phenology matching model for robust crop phenological retrieval
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.01.017openalex-snapshot
Land surface phenology retrievals for arid and semi-arid ecosystems
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.01.023openalex-snapshot
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.10.005openalex-snapshot
Mapping crop phenophases in reproductive growth period by satellite solar-induced chlorophyll fluorescence: A case study in mid-temperate zone in China
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.jag.2015.04.021openalex-snapshot
Spatiotemporal variation in the terrestrial vegetation phenology of Iraq and its relation with elevation
inferred← citeshttps://doi.org/10.1016/j.jag.2015.11.013openalex-snapshot
A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)
inferred← citeshttps://doi.org/10.1016/j.jag.2016.09.005openalex-snapshot
Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves
inferred← citeshttps://doi.org/10.1016/j.jag.2017.03.008openalex-snapshot
Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product
inferred← citeshttps://doi.org/10.1016/j.jag.2017.08.006openalex-snapshot
MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests
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.2021.102545openalex-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.2022.102747openalex-snapshot
A novel model to accurately predict continental-scale timing of forest green-up
inferred← citeshttps://doi.org/10.1016/j.jag.2022.103148openalex-snapshot
Validating remotely sensed land surface phenology with leaf out records from a citizen science network
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104264openalex-snapshot
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa
inferred← citeshttps://doi.org/10.1016/j.jclepro.2020.122487openalex-snapshot
Characterizing urbanization-induced land surface phenology change from time-series remotely sensed images at fine spatio-temporal scale: A case study in Nanjing, China (2001–2018)
inferred← citeshttps://doi.org/10.1016/j.jenvman.2019.05.097openalex-snapshot
Space-time analysis of vegetation trends and drought occurrence in domain area of tropical forest
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.2019.124390openalex-snapshot
Integrated land-surface hydrological and biogeochemical processes in simulating water, energy and carbon fluxes over two different ecosystems
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.131547openalex-snapshot
Evaluating the effect of Multi-Scale droughts on autumn phenology of global land biomes with satellite observation
inferred← citeshttps://doi.org/10.1016/j.landurbplan.2020.103989openalex-snapshot
Evidence of urban heat island impacts on the vegetation growing season length in a tropical city
inferred← citeshttps://doi.org/10.1016/j.landurbplan.2026.105578openalex-snapshot
Diverging vegetation phenology responses between urban cores and suburbs in 233 Chinese cities
inferred← citeshttps://doi.org/10.1016/j.oceano.2022.02.007openalex-snapshot
Seasonality and long-term trends of NDVI values in different land use types in the eastern part of the Baltic Sea basin
inferred← citeshttps://doi.org/10.1016/j.rsase.2020.100422openalex-snapshot
Winter wheat growth assessment using Temporal Normalized Phenology Index (TNPI) in Bhuj Taluka, Gujarat State, India
inferred← citeshttps://doi.org/10.1016/j.rsase.2024.101194openalex-snapshot
Investigating the effect of temperature, precipitation, and soil salinity changes on Riparian Forests’ phenology using a remote sensing approach
inferred← citeshttps://doi.org/10.1016/j.rsase.2024.101342openalex-snapshot
Assessing the phenological state of evergreen conifers using hyperspectral imaging time series
inferred← citeshttps://doi.org/10.1016/j.rse.2007.12.004openalex-snapshot
Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data
inferred← citeshttps://doi.org/10.1016/j.rse.2009.08.016openalex-snapshot
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.rse.2010.06.005openalex-snapshot
Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2010.08.014openalex-snapshot
Evaluation of compositing period and AVHRR and MERIS combination for improvement of spring phenology detection in deciduous forests
inferred← citeshttps://doi.org/10.1016/j.rse.2010.09.009openalex-snapshot
Monitoring fall foliage coloration dynamics using time-series satellite data
inferred← citeshttps://doi.org/10.1016/j.rse.2011.02.024openalex-snapshot
Parameterization of a diagnostic carbon cycle model for continental scale application
inferred← citeshttps://doi.org/10.1016/j.rse.2011.06.020openalex-snapshot
A comparison of time series similarity measures for classification and change detection of ecosystem dynamics
inferred← citeshttps://doi.org/10.1016/j.rse.2012.03.012openalex-snapshot
Ground-based Network of NDVI measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biomes
inferred← citeshttps://doi.org/10.1016/j.rse.2012.05.031openalex-snapshot
Spatiotemporal dimensionality and Time-Space characterization of multitemporal imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2012.11.021openalex-snapshot
Comparison of methods for estimation of absolute vegetation and soil fractional cover using MODIS normalized BRDF-adjusted reflectance data
inferred← citeshttps://doi.org/10.1016/j.rse.2013.01.019openalex-snapshot
Generation of new cloud masks from MODIS land surface reflectance products
inferred← citeshttps://doi.org/10.1016/j.rse.2013.03.033openalex-snapshot
Phenology and gross primary production of two dominant savanna woodland ecosystems in Southern Africa
inferred← citeshttps://doi.org/10.1016/j.rse.2013.05.004openalex-snapshot
Characterisation of land surface phenology and land cover based on moderate resolution satellite data in cloud prone areas — A novel product for the Mekong Basin
inferred← citeshttps://doi.org/10.1016/j.rse.2014.03.001openalex-snapshot
Modeling growing season phenology in North American forests using seasonal mean vegetation indices from MODIS
inferred← citeshttps://doi.org/10.1016/j.rse.2014.03.017openalex-snapshot
Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty
inferred← citeshttps://doi.org/10.1016/j.rse.2014.07.010openalex-snapshot
A physically based vegetation index for improved monitoring of plant phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2014.10.012openalex-snapshot
Reconstruction of a complete global time series of daily vegetation index trajectory from long-term AVHRR data
inferred← citeshttps://doi.org/10.1016/j.rse.2015.01.011openalex-snapshot
Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest
inferred← citeshttps://doi.org/10.1016/j.rse.2015.05.027openalex-snapshot
GEOCLIM: A global climatology of LAI, FAPAR, and FCOVER from VEGETATION observations for 1999–2010
inferred← citeshttps://doi.org/10.1016/j.rse.2015.12.033openalex-snapshot
Estimating the effective spatial resolution of the operational BRDF, albedo, and nadir reflectance products from MODIS and VIIRS
inferred← citeshttps://doi.org/10.1016/j.rse.2016.01.021openalex-snapshot
Improved modeling of land surface phenology using MODIS land surface reflectance and temperature at evergreen needleleaf forests of central North America
inferred← citeshttps://doi.org/10.1016/j.rse.2016.02.010openalex-snapshot
Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities
inferred← citeshttps://doi.org/10.1016/j.rse.2016.02.057openalex-snapshot
Vegetation baseline phenology from kilometric global LAI satellite products
inferred← citeshttps://doi.org/10.1016/j.rse.2016.09.014openalex-snapshot
Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat
inferred← citeshttps://doi.org/10.1016/j.rse.2017.01.001openalex-snapshot
Exploration of scaling effects on coarse resolution land surface phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2017.03.009openalex-snapshot
Real-time and short-term predictions of spring phenology in North America from VIIRS data
inferred← citeshttps://doi.org/10.1016/j.rse.2017.04.031openalex-snapshot
A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems
inferred← citeshttps://doi.org/10.1016/j.rse.2017.05.024openalex-snapshot
Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification
inferred← citeshttps://doi.org/10.1016/j.rse.2017.07.010openalex-snapshot
A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.rse.2017.11.009openalex-snapshot
Remote sensing of mangrove forest phenology and its environmental drivers
inferred← citeshttps://doi.org/10.1016/j.rse.2018.04.030openalex-snapshot
The mixed pixel effect in land surface phenology: A simulation study
inferred← citeshttps://doi.org/10.1016/j.rse.2018.06.047openalex-snapshot
Generation and evaluation of the VIIRS land surface phenology product
inferred← citeshttps://doi.org/10.1016/j.rse.2018.08.022openalex-snapshot
A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter
inferred← citeshttps://doi.org/10.1016/j.rse.2018.10.006openalex-snapshot
Prediction of drought-induced reduction of agricultural productivity in Chile from MODIS, rainfall estimates, and climate oscillation indices
inferred← citeshttps://doi.org/10.1016/j.rse.2019.03.028openalex-snapshot
A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems
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.2019.05.003openalex-snapshot
Complex network-based time series remote sensing model in monitoring the fall foliage transition date for peak coloration
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111308openalex-snapshot
Classifying California plant species temporally using airborne hyperspectral imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111401openalex-snapshot
Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities
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.2020.111698openalex-snapshot
Change point estimation of deciduous forest land surface phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111916openalex-snapshot
Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–2018
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112013openalex-snapshot
Solar and sensor geometry, not vegetation response, drive satellite NDVI phenology in widespread ecosystems of the western United States
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.2021.112484openalex-snapshot
Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112849openalex-snapshot
Ecoregion-wide, multi-sensor biomass mapping highlights a major underestimation of dry forests carbon stocks
inferred← citeshttps://doi.org/10.1016/j.rse.2022.112983openalex-snapshot
Satellite-observed shifts in C3/C4 abundance in Australian grasslands are associated with rainfall patterns
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.2022.113310openalex-snapshot
Evaluating fine-scale phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America
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
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