Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology
Accurate and timely land surface phenology (LSP) provides essential information for investigating the responses of terrestrial ecosystems to climate changes and quantifying carbon and surface energy cycles on the Earth. LSP has been widely investigated using daily Visible Infrared Imaging Radiometer...
Saved in:
Main Authors: | Yu Shen, Xiaoyang Zhang, Weile Wang, Ramakrishna Nemani, Yongchang Ye, Jianmin Wang |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/16c2ee24d036463d9568f1636ca37591 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
by: Wei Yu, et al.
Published: (2021) -
A New Geostationary Satellite-Based Snow Cover Recognition Method for FY-4A AGRI
by: Haiwei Qiao, et al.
Published: (2021) -
Optimal Grid-Based Filtering for Crop Phenology Estimation with Sentinel-1 SAR Data
by: Lucio Mascolo, et al.
Published: (2021) -
Exploring the Applicability and Scaling Effects of Satellite-Observed Spring and Autumn Phenology in Complex Terrain Regions Using Four Different Spatial Resolution Products
by: Fangxin Chen, et al.
Published: (2021) -
Conceptual and practical issues limit the utility of statistical estimators of phenological events
by: Amy M. Iler, et al.
Published: (2021)