Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Seasonality and drought effects of Amazonian forests observed from multi-angle satellite data

Full text
Author(s):
de Moura, Yhasmin Mendes [1] ; Hilker, Thomas [2] ; Lyapustin, Alexei I. [3] ; Galva, Lenio Soares [1] ; dos Santos, Joao Roberto [1] ; Anderson, Liana O. [4, 5] ; Resende de Sousa, Celio Helder [2] ; Arai, Egidio [1]
Total Authors: 8
Affiliation:
[1] Natl Inst Space Res INPE, Sao Jose Dos Campos, SP - Brazil
[2] Oregon State Univ, Coll Forestry, Corvallis, OR 97331 - USA
[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 - USA
[4] Natl Ctr Monitoring & Early Warning Nat Disasters, Sao Jose Dos Campos, SP - Brazil
[5] Univ Oxford, Environm Change Inst, Oxford OX1 3QY - England
Total Affiliations: 5
Document type: Journal article
Source: REMOTE SENSING OF ENVIRONMENT; v. 171, p. 278-290, DEC 15 2015.
Web of Science Citations: 9
Abstract

Seasonality and drought in Amazon rainforests have been controversially discussed in the literature, partially due to a limited ability of current remote sensing techniques to detect its impacts on tropical vegetation. We use a multi-angle remote sensing approach to determine changes in vegetation structure from differences in directional scattering (anisotropy) observed by the Moderate Resolution Imaging Spectroradiometer (MODIS) with data atmospherically corrected by the Multi-Angle Implementation Atmospheric Correction Algorithm (MAIAC). Our results show a strong linear relationship between anisotropy and field (r(2) = 0.70) and LiDAR (r(2) = 0.88) based estimates of LAI even in dense canopies (LAI <= 7 m(2) m(-2)). This allowed us to obtain improved estimates of vegetation structure from optical remote sensing. We used anisotropy to analyze Amazon seasonality based on spatially explicit estimates of onset and length of dry season obtained from the Tropical Rainfall Measurement Mission (TRMM). An increase in vegetation greening was observed during the beginning of dry season (across similar to 7% of the basin), which was followed by a decline (browning) later during the dry season (across similar to 5% of the basin). Anomalies in vegetation browning were particularly strong during the 2005 and 2010 drought years (similar to 10% of the basin). We show that the magnitude of seasonal changes can be significantly affected by regional differences in onset and duration of the dry season. Seasonal changes were much less pronounced when assuming a fixed dry season from June through September across the Amazon Basin. Our findings reconcile remote sensing studies with field based observations and model results as they provide a sounder basis for the argument that tropical vegetation growth increases during the beginning of the dry season, but declines after extended drought periods. The multi-angle approach used in this work may help quantify drought tolerance and seasonality in the Amazonian forests. (C) 2015 Elsevier Inc. All rights reserved. (AU)

FAPESP's process: 13/50533-5 - Understanding the response of photosynthetic metabolism in tropical forests to seasonal climate variations
Grantee:Luiz Eduardo Oliveira e Cruz de Aragão
Support type: Regular Research Grants