Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data
The purpose of this work was to monitor and model land surface phenology over the past ten years in the South American Bermejo River basin using the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) product. In order to do this, we evaluated the char...
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2013
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v34_n15_p5429_Barraza http://hdl.handle.net/20.500.12110/paper_01431161_v34_n15_p5429_Barraza |
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paper:paper_01431161_v34_n15_p5429_Barraza2023-06-08T15:11:48Z Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data Classification (of information) Decision trees Ecology Forestry Radiometers Satellite imagery Surface measurement Vegetation Watersheds Decision tree classification Interpretation of models Land surface phenology Moderate resolution imaging spectroradiometer Normalized difference vegetation index Object oriented classification Spatial and temporal scale Temporal dynamics Time series analysis data interpretation ecological modeling ecosystem dynamics image classification land surface mapping MODIS NDVI phenology satellite data spatiotemporal analysis time series analysis vegetation dynamics Biology Ecology Forestry Measurement Surfaces Water Sheds Argentina Bermejo Basin The purpose of this work was to monitor and model land surface phenology over the past ten years in the South American Bermejo River basin using the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) product. In order to do this, we evaluated the characteristics of the satellite data and information available on the study area's ecosystem to choose the best model to capture the temporal dynamics of NDVI in local vegetation (sufficiently complex to provide a good fit and simple enough so that each parameter has an immediate ecological meaning). An ecological interpretation of model parameters was provided. Different land surfaces showed distinct fluctuations over time in NDVI values, and this information was used to improve object-oriented classification. A decision tree classification was developed to identify spatial patterns of NDVI functional form and the fluctuations that these patterns presented from 2000 to 2010. We integrated inter-annual information in a final map that distinguishes stable areas from changing sites. Assuming that large inter-annual spatial-scale fluctuations were related to climatic events, we established how vegetated land surfaces within the study area responded to these. Our study was designed to emphasize the interpretation of the spatial and temporal scales of land surface phenology. © 2013 Copyright Taylor and Francis Group, LLC. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v34_n15_p5429_Barraza http://hdl.handle.net/20.500.12110/paper_01431161_v34_n15_p5429_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 |
Classification (of information) Decision trees Ecology Forestry Radiometers Satellite imagery Surface measurement Vegetation Watersheds Decision tree classification Interpretation of models Land surface phenology Moderate resolution imaging spectroradiometer Normalized difference vegetation index Object oriented classification Spatial and temporal scale Temporal dynamics Time series analysis data interpretation ecological modeling ecosystem dynamics image classification land surface mapping MODIS NDVI phenology satellite data spatiotemporal analysis time series analysis vegetation dynamics Biology Ecology Forestry Measurement Surfaces Water Sheds Argentina Bermejo Basin |
| spellingShingle |
Classification (of information) Decision trees Ecology Forestry Radiometers Satellite imagery Surface measurement Vegetation Watersheds Decision tree classification Interpretation of models Land surface phenology Moderate resolution imaging spectroradiometer Normalized difference vegetation index Object oriented classification Spatial and temporal scale Temporal dynamics Time series analysis data interpretation ecological modeling ecosystem dynamics image classification land surface mapping MODIS NDVI phenology satellite data spatiotemporal analysis time series analysis vegetation dynamics Biology Ecology Forestry Measurement Surfaces Water Sheds Argentina Bermejo Basin Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data |
| topic_facet |
Classification (of information) Decision trees Ecology Forestry Radiometers Satellite imagery Surface measurement Vegetation Watersheds Decision tree classification Interpretation of models Land surface phenology Moderate resolution imaging spectroradiometer Normalized difference vegetation index Object oriented classification Spatial and temporal scale Temporal dynamics Time series analysis data interpretation ecological modeling ecosystem dynamics image classification land surface mapping MODIS NDVI phenology satellite data spatiotemporal analysis time series analysis vegetation dynamics Biology Ecology Forestry Measurement Surfaces Water Sheds Argentina Bermejo Basin |
| description |
The purpose of this work was to monitor and model land surface phenology over the past ten years in the South American Bermejo River basin using the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) product. In order to do this, we evaluated the characteristics of the satellite data and information available on the study area's ecosystem to choose the best model to capture the temporal dynamics of NDVI in local vegetation (sufficiently complex to provide a good fit and simple enough so that each parameter has an immediate ecological meaning). An ecological interpretation of model parameters was provided. Different land surfaces showed distinct fluctuations over time in NDVI values, and this information was used to improve object-oriented classification. A decision tree classification was developed to identify spatial patterns of NDVI functional form and the fluctuations that these patterns presented from 2000 to 2010. We integrated inter-annual information in a final map that distinguishes stable areas from changing sites. Assuming that large inter-annual spatial-scale fluctuations were related to climatic events, we established how vegetated land surfaces within the study area responded to these. Our study was designed to emphasize the interpretation of the spatial and temporal scales of land surface phenology. © 2013 Copyright Taylor and Francis Group, LLC. |
| title |
Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data |
| title_short |
Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data |
| title_full |
Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data |
| title_fullStr |
Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data |
| title_full_unstemmed |
Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data |
| title_sort |
monitoring and modelling land surface dynamics in bermejo river basin, argentina: time series analysis of modis ndvi data |
| publishDate |
2013 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v34_n15_p5429_Barraza http://hdl.handle.net/20.500.12110/paper_01431161_v34_n15_p5429_Barraza |
| _version_ |
1768542075995815936 |