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Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations.
de Moura, Yhasmin Mendes; Hilker, Thomas; Goncalves, Fabio Guimarães; Galvão, Lênio Soares; Dos Santos, João Roberto; Lyapustin, Alexei; Maeda, Eduardo Eiji; de Jesus Silva, Camila Valéria.
Afiliación
  • de Moura YM; Instituto Nacional de Pesquisas Espaciais (INPE), Divisão de Sensoriamento Remoto, 12245-970, São José dos Campos, SP, Brazil.
  • Hilker T; Oregon State University, College of Forestry, Corvallis, OR, 97331, USA.
  • Goncalves FG; University of Southampton, Department of Geography and Environment, Southampton, SO17 1BJ, United Kingdom.
  • Galvão LS; Agrosatelite Geotecnologia Aplicada, Florianópolis, SC, 88032-005, Brazil.
  • Dos Santos JR; Instituto Nacional de Pesquisas Espaciais (INPE), Divisão de Sensoriamento Remoto, 12245-970, São José dos Campos, SP, Brazil.
  • Lyapustin A; Instituto Nacional de Pesquisas Espaciais (INPE), Divisão de Sensoriamento Remoto, 12245-970, São José dos Campos, SP, Brazil.
  • Maeda EE; NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA.
  • de Jesus Silva CV; University of Helsinki, Department of Geosciences and Geography, P.O. Box 68, FI-00014, Helsinki, Finland.
Int J Appl Earth Obs Geoinf ; 52: 580-590, 2016 Oct.
Article en En | MEDLINE | ID: mdl-29618964
Detailed knowledge of vegetation structure is required for accurate modelling of terrestrial ecosystems, but direct measurements of the three dimensional distribution of canopy elements, for instance from LiDAR, are not widely available. We investigate the potential for modelling vegetation roughness, a key parameter for climatological models, from directional scattering of visible and near-infrared (NIR) reflectance acquired from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS). We compare our estimates across different tropical forest types to independent measures obtained from: (1) airborne laser scanning (ALS), (2) spaceborne Geoscience Laser Altimeter System (GLAS)/ICESat, and (3) the spaceborne SeaWinds/QSCAT. Our results showed linear correlation between MODIS-derived anisotropy to ALS-derived entropy (r2= 0.54, RMSE=0.11), even in high biomass regions. Significant relationships were also obtained between MODIS-derived anisotropy and GLAS-derived entropy (0.52≤ r2≤ 0.61; p<0.05), with similar slopes and offsets found throughout the season, and RMSE between 0.26 and 0.30 (units of entropy). The relationships between the MODIS-derived anisotropy and backscattering measurements (σ0) from SeaWinds/QuikSCAT presented an r2 of 0.59 and a RMSE of 0.11. We conclude that multi-angular MODIS observations are suitable to extrapolate measures of canopy entropy across different forest types, providing additional estimates of vegetation structure in the Amazon.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Appl Earth Obs Geoinf Año: 2016 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Appl Earth Obs Geoinf Año: 2016 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos