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New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests.
Hashimoto, Hirofumi; Wang, Weile; Dungan, Jennifer L; Li, Shuang; Michaelis, Andrew R; Takenaka, Hideaki; Higuchi, Atsushi; Myneni, Ranga B; Nemani, Ramakrishna R.
Afiliação
  • Hashimoto H; Department of Applied Environmental Science, California State University - Monterey Bay, Seaside, CA, USA. hhashimoto@csumb.edu.
  • Wang W; NASA Ames Research Center, Moffett Field, CA, USA. hhashimoto@csumb.edu.
  • Dungan JL; Department of Applied Environmental Science, California State University - Monterey Bay, Seaside, CA, USA.
  • Li S; NASA Ames Research Center, Moffett Field, CA, USA.
  • Michaelis AR; NASA Ames Research Center, Moffett Field, CA, USA.
  • Takenaka H; Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University, Guiyang, China.
  • Higuchi A; NASA Ames Research Center, Moffett Field, CA, USA.
  • Myneni RB; Bay Area Environmental Research Institute, Moffett Field, CA, USA.
  • Nemani RR; JAXA Earth Observation Research Center, Tsukuba, Ibaraki, Japan.
Nat Commun ; 12(1): 684, 2021 01 29.
Article em En | MEDLINE | ID: mdl-33514721
Assessing the seasonal patterns of the Amazon rainforests has been difficult because of the paucity of ground observations and persistent cloud cover over these forests obscuring optical remote sensing observations. Here, we use data from a new generation of geostationary satellites that carry the Advanced Baseline Imager (ABI) to study the Amazon canopy. ABI is similar to the widely used polar orbiting sensor, the Moderate Resolution Imaging Spectroradiometer (MODIS), but provides observations every 10-15 min. Our analysis of NDVI data collected over the Amazon during 2018-19 shows that ABI provides 21-35 times more cloud-free observations in a month than MODIS. The analyses show statistically significant changes in seasonality over 85% of Amazon forest pixels, an area about three times greater than previously reported using MODIS data. Though additional work is needed in converting the observed changes in seasonality into meaningful changes in canopy dynamics, our results highlight the potential of the new generation geostationary satellites to help us better understand tropical ecosystems, which has been a challenge with only polar orbiting satellites.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Folhas de Planta / Monitorização de Parâmetros Ecológicos / Imagens de Satélites / Floresta Úmida País/Região como assunto: America do sul / Brasil Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Folhas de Planta / Monitorização de Parâmetros Ecológicos / Imagens de Satélites / Floresta Úmida País/Região como assunto: America do sul / Brasil Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido