New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
Cloud cover and scarcity of ground-based validation hinder remote sensing of forest dynamics in the Amazon basin. Here, the authors analyse imagery from a high-frequency geostationary satellite sensor to study monthly NDVI patterns in the Amazon forest, finding support for spatially extensive season...
Guardado en:
Autores principales: | Hirofumi Hashimoto, Weile Wang, Jennifer L. Dungan, Shuang Li, Andrew R. Michaelis, Hideaki Takenaka, Atsushi Higuchi, Ranga B. Myneni, Ramakrishna R. Nemani |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/23a00371dcb94f4197d5aecbbb118679 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology
por: Yu Shen, et al.
Publicado: (2021) -
Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data
por: Huazhe Shang, et al.
Publicado: (2018) -
A New Geostationary Satellite-Based Snow Cover Recognition Method for FY-4A AGRI
por: Haiwei Qiao, et al.
Publicado: (2021) -
A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
por: Wei Yu, et al.
Publicado: (2021) -
Post-drought decline of the Amazon carbon sink
por: Yan Yang, et al.
Publicado: (2018)