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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2012
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS23308_v_n_p6408_Barraza http://hdl.handle.net/20.500.12110/paper_NIS23308_v_n_p6408_Barraza |
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paper:paper_NIS23308_v_n_p6408_Barraza2023-06-08T16:40:01Z Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data 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. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS23308_v_n_p6408_Barraza 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 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. |
| 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 |
| publishDate |
2012 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS23308_v_n_p6408_Barraza http://hdl.handle.net/20.500.12110/paper_NIS23308_v_n_p6408_Barraza |
| _version_ |
1769175852399984640 |