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...

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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
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Acceso en línea:https://doaj.org/article/23a00371dcb94f4197d5aecbbb118679
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spelling oai:doaj.org-article:23a00371dcb94f4197d5aecbbb1186792021-12-02T13:57:31ZNew generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests10.1038/s41467-021-20994-y2041-1723https://doaj.org/article/23a00371dcb94f4197d5aecbbb1186792021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-20994-yhttps://doaj.org/toc/2041-1723Cloud 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.Hirofumi HashimotoWeile WangJennifer L. DunganShuang LiAndrew R. MichaelisHideaki TakenakaAtsushi HiguchiRanga B. MyneniRamakrishna R. NemaniNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Hirofumi Hashimoto
Weile Wang
Jennifer L. Dungan
Shuang Li
Andrew R. Michaelis
Hideaki Takenaka
Atsushi Higuchi
Ranga B. Myneni
Ramakrishna R. Nemani
New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
description 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.
format article
author Hirofumi Hashimoto
Weile Wang
Jennifer L. Dungan
Shuang Li
Andrew R. Michaelis
Hideaki Takenaka
Atsushi Higuchi
Ranga B. Myneni
Ramakrishna R. Nemani
author_facet Hirofumi Hashimoto
Weile Wang
Jennifer L. Dungan
Shuang Li
Andrew R. Michaelis
Hideaki Takenaka
Atsushi Higuchi
Ranga B. Myneni
Ramakrishna R. Nemani
author_sort Hirofumi Hashimoto
title New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
title_short New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
title_full New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
title_fullStr New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
title_full_unstemmed New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
title_sort new generation geostationary satellite observations support seasonality in greenness of the amazon evergreen forests
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/23a00371dcb94f4197d5aecbbb118679
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