Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review

JA Caparros-Santiago, V Rodriguez-Galiano… - ISPRS Journal of …, 2021‏ - Elsevier
Vegetation phenology is considered an important biological indicator in understanding the
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …

[HTML][HTML] Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe

F Tian, Z Cai, H **, K Hufkens, H Scheifinger… - Remote Sensing of …, 2021‏ - Elsevier
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 …

Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples

P Hao, L Di, C Zhang, L Guo - Science of The Total Environment, 2020‏ - Elsevier
Training samples is fundamental for crop map** from remotely sensed images, but difficult
to acquire in many regions through ground survey, causing significant challenge for crop …

A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery

F Gao, M Anderson, C Daughtry, A Karnieli… - Remote Sensing of …, 2020‏ - Elsevier
Crop emergence date is a critical input to models of crop development and biomass
accumulation. The ability to robustly detect and map emergence date using remote sensing …

Develo** an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with …

Y Shen, X Zhang, Z Yang, Y Ye, J Wang, S Gao… - Remote Sensing of …, 2023‏ - Elsevier
Crop phenology has been widely detected from multiple historical satellite observations.
Conversely, Near-Real-Time (NRT) monitoring of crop progress from timely available remote …