Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data

In this paper, we show that MODIS NDVI and AMSR-E microwave vegetation indexes (MVI) data can be used to monitor land surface phenology in the Bermejo River Basin. For this purpose, the statistical nature of the study area's NDVI and MVI time series was analyzed. For NDVI, widely known time ser...

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Detalles Bibliográficos
Autores principales: Barraza, V., Grings, F., Perna, P., Salvia, M., Carbajo, A.E., Ferrazzoli, P., Karszenbaum, H.
Formato: CONF
Materias:
land surface phenology
microwave vegetation indexes
NDVI
Argentina
Canopy structure
Classification scheme
Functional forms
Land surface
Land surface phenology
River basins
Study areas
Temporal variation
Time series models
Vegetation index
Biology
Geology
Phenols
Radiometers
Remote sensing
Time series analysis
Vegetation
Watersheds
Surface measurement
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_NIS23308_v_n_p6408_Barraza
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:In this paper, we show that MODIS NDVI and AMSR-E microwave vegetation indexes (MVI) data can be used to monitor land surface phenology in the Bermejo River Basin. For this purpose, the statistical nature of the study area's NDVI and MVI time series was analyzed. For NDVI, widely known time series models were tested and modified. NDVI temporal variation trends show functional forms that originate from the general annual performance of land surface phenology. Using these functional forms, a classification scheme is proposed. Furthermore, we also explored the possibility to use MVIs in order to improve the classification using assumptions about canopy structure that influence vegetation emissivity and opacity. © 2012 IEEE.

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