A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
L Zeng, BD Wardlow, D ** crop phenology in near real-time using satellite remote sensing: Challenges and opportunities
Crop phenology is critical for agricultural management, crop yield estimation, and
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
As the spatial and temporal resolution of remotely sensed imagery has improved over the
last four decades, algorithms for monitoring and map** seasonal changes in surface …
last four decades, algorithms for monitoring and map** seasonal changes in surface …
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
Vegetation phenology is considered an important biological indicator in understanding the
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …
Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop …
Timely monitoring of above-ground biomass (AGB) is essential for indicating the crop growth
status and predicting grain yield and carbon dynamics. Non-destructive remote sensing …
status and predicting grain yield and carbon dynamics. Non-destructive remote sensing …
[HTML][HTML] Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
Vegetation phenology obtained from time series of remote sensing data is relevant for a
range of ecological applications. The freely available Sentinel-2 imagery at a 10 m spatial …
range of ecological applications. The freely available Sentinel-2 imagery at a 10 m spatial …
A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables
The spatial distribution of soil organic carbon (SOC) serves as critical geographic
information for assessing ecosystem services, climate change mitigation, and optimal …
information for assessing ecosystem services, climate change mitigation, and optimal …
Urbanization imprint on land surface phenology: The urban–rural gradient analysis for Chinese cities
Rising temperature shifts plant phenology. Chinese cities, experiencing extensive
expansion and intensive warming, spanning a wide latitudinal range, might provide ideal …
expansion and intensive warming, spanning a wide latitudinal range, might provide ideal …
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations
In temperate forests, autumn leaf phenology signals the end of leaf growing season and
shows large variability across tree-crowns, which importantly mediates photosynthetic …
shows large variability across tree-crowns, which importantly mediates photosynthetic …