New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests

Hirofumi Hashimoto; Weile Wang; Jennifer L. Dungan; Shuang Li; Andrew R. Michaelis; Hideaki Takenaka; Atsushi Higuchi; Ranga B. Myneni; Ramakrishna R. Nemani

doi:10.1038/s41467-021-20994-y

Nature Communications (Jan 2021)

New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests

Hirofumi Hashimoto,
Weile Wang,
Jennifer L. Dungan,
Shuang Li,
Andrew R. Michaelis,
Hideaki Takenaka,
Atsushi Higuchi,
Ranga B. Myneni,
Ramakrishna R. Nemani

Affiliations

Hirofumi Hashimoto: Department of Applied Environmental Science, California State University – Monterey Bay
Weile Wang: Department of Applied Environmental Science, California State University – Monterey Bay
Jennifer L. Dungan: NASA Ames Research Center
Shuang Li: Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University
Andrew R. Michaelis: NASA Ames Research Center
Hideaki Takenaka: JAXA Earth Observation Research Center
Atsushi Higuchi: Center for Environmental Remote Sensing, Chiba University
Ranga B. Myneni: Earth & Environment Department, Boston University
Ramakrishna R. Nemani: NASA Ames Research Center

DOI: https://doi.org/10.1038/s41467-021-20994-y
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 11

Abstract

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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 seasonality.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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