A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

L Zeng, BD Wardlow, D Xiang, S Hu, D Li - Remote Sensing of …, 2020 - Elsevier
Vegetation dynamics and phenology play an important role in inter-annual vegetation
changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions …

Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite …

EF Berra, R Gaulton - Forest Ecology and Management, 2021 - Elsevier
Vegetation phenology is the study of recurring plant life cycle stages, seasonality which is
linked to many ecosystem processes and is an important proxy of climate and environmental …

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 …

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 …

Asymmetric effects of daytime and nighttime warming on spring phenology in the temperate grasslands of China

X Shen, B Liu, M Henderson, L Wang, Z Wu… - Agricultural and Forest …, 2018 - Elsevier
Understanding the spring phenology of temperate grasslands and its response to climate
change are crucial for diagnosing the responses of ecosystem to regional climate change …

Near real-time detection and forecasting of within-field phenology of winter wheat and corn using Sentinel-2 time-series data

C Liao, J Wang, B Shan, J Shang, T Dong… - ISPRS Journal of …, 2023 - Elsevier
Near real-time (NRT) crop phenology detection and forecasting at the sub-field level are
important for crop growth monitoring and management in precision agriculture. Previous …

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

Y Shen, X Zhang, Z Yang - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Accurate and timely crop phenology is essential for efficient crop management and precise
modelling of crop yield and productivity. It has been commonly mapped from moderate or …

Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data

Y Yang, W Ren, B Tao, L Ji, L Liang, AC Ruane… - ISPRS Journal of …, 2020 - Elsevier
Crop phenology represents an integrative indicator of climate change and plays a vital role
in terrestrial carbon dynamics and sustainable agricultural development. However …

Real-time monitoring of crop phenology in the Midwestern United States using VIIRS observations

L Liu, X Zhang, Y Yu, F Gao, Z Yang - Remote Sensing, 2018 - mdpi.com
Real-time monitoring of crop phenology is critical for assisting farmers managing crop
growth and yield estimation. In this study, we presented an approach to monitor in real time …

[HTML][HTML] An improved dynamic threshold method for determining the start of the vegetation greening season in remote sensing monitoring: The case of Inner Mongolia

H Li, FY Li, J Guo, X Gao - Ecological Informatics, 2023 - Elsevier
The start of the greening season (SOS) is the beginning of vegetation phenology, and its
time of occurrence affects the carbon cycle and organic matter production of the ecosystem …

Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network

D Yan, X Zhang, S Nagai, Y Yu, T Akitsu… - International Journal of …, 2019 - Elsevier
Abstract The Advanced Himawari Imager (AHI) onboard the recently launched next
generation geostationary satellite, Himawari-8, provides an opportunity to improve Land …