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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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
id todo:paper_NIS23308_v_n_p6408_Barraza
record_format dspace
spelling todo:paper_NIS23308_v_n_p6408_Barraza2023-10-03T16:46:22Z Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data Barraza, V. Grings, F. Perna, P. Salvia, M. Carbajo, A.E. Ferrazzoli, P. Karszenbaum, H. land surface phenology microwave vegetation indexes NDVI Argentina Canopy structure Classification scheme Functional forms Land surface Land surface phenology NDVI River basins Study areas Temporal variation Time series models Vegetation index Biology Geology Phenols Radiometers Remote sensing Time series analysis Vegetation Watersheds Surface measurement 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_NIS23308_v_n_p6408_Barraza
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic land surface phenology
microwave vegetation indexes
NDVI
Argentina
Canopy structure
Classification scheme
Functional forms
Land surface
Land surface phenology
NDVI
River basins
Study areas
Temporal variation
Time series models
Vegetation index
Biology
Geology
Phenols
Radiometers
Remote sensing
Time series analysis
Vegetation
Watersheds
Surface measurement
spellingShingle land surface phenology
microwave vegetation indexes
NDVI
Argentina
Canopy structure
Classification scheme
Functional forms
Land surface
Land surface phenology
NDVI
River basins
Study areas
Temporal variation
Time series models
Vegetation index
Biology
Geology
Phenols
Radiometers
Remote sensing
Time series analysis
Vegetation
Watersheds
Surface measurement
Barraza, V.
Grings, F.
Perna, P.
Salvia, M.
Carbajo, A.E.
Ferrazzoli, P.
Karszenbaum, H.
Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data
topic_facet land surface phenology
microwave vegetation indexes
NDVI
Argentina
Canopy structure
Classification scheme
Functional forms
Land surface
Land surface phenology
NDVI
River basins
Study areas
Temporal variation
Time series models
Vegetation index
Biology
Geology
Phenols
Radiometers
Remote sensing
Time series analysis
Vegetation
Watersheds
Surface measurement
description 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.
format CONF
author Barraza, V.
Grings, F.
Perna, P.
Salvia, M.
Carbajo, A.E.
Ferrazzoli, P.
Karszenbaum, H.
author_facet Barraza, V.
Grings, F.
Perna, P.
Salvia, M.
Carbajo, A.E.
Ferrazzoli, P.
Karszenbaum, H.
author_sort Barraza, V.
title Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data
title_short Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data
title_full Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data
title_fullStr Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data
title_full_unstemmed Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data
title_sort monitoring and modeling land surface dynamics in bermejo river basin, argentina: time series analysis of modis and amsr-e data
url http://hdl.handle.net/20.500.12110/paper_NIS23308_v_n_p6408_Barraza
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