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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidade Federal de Uberlândia
2021
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=321366102012 https://www.redalyc.org/journal/3213/321366102012/ https://www.redalyc.org/journal/3213/321366102012/html/ https://www.redalyc.org/journal/3213/321366102012/321366102012.epub https://www.redalyc.org/journal/3213/321366102012/movil |
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| _version_ | 1866574186852384768 |
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| author | Débora Joana Dutra |
| author_facet | Débora Joana Dutra |
| contents | Temporal analysis of drought coverage in a watershed area using remote sensing spectral indexes Débora Joana Dutra Marcos Antônio Timbó Elmiro Marcelo Antônio Nero Carlos Wagner Gonçalves Andrade Coelho Plínio da Costa Temba Geografía Social Geostatistics Vegetation Index Remote Sensing Seasonality Drought Index The development of several time series analysis programs using satellite images has provided many applications based on resources from geostatistics field. Currently, the use of statistical tests applied to vegetation indexes has enabled the analysis of different natural phenomena, such as drought events in watershed areas. The objective of this article is to provide a comparative analysis between NDVI and EVI vegetation index data made available by MOD13Q1 project of MODIS sensor for drought mapping using vegetation condition index (VCI) in the Serra Azul stream sub-basin, MG. The methodology adopted the Cox-Stuart statistical test for seasonality analysis and Pearson's linear correlation to verify the influence of different indexes on delimitation of drought in a watershed. The results indicated the NDVI vegetation index as more efficient than EVI in spatial characterization of studied watershed region, mainly in identification of seasonality. The VCI proved to be highly feasible for monitoring drought in study period between 2013 and 2018, allowing the effective delimitation of drought conditions in the Serra Azul stream sub-basin. In addition, the effectiveness of MODIS sensor data in characterizing drought events that affected the study area was proven. 2021 artículo científico 0103-1570 https://www.redalyc.org/articulo.oa?id=321366102012 https://www.redalyc.org/journal/3213/321366102012/ https://www.redalyc.org/journal/3213/321366102012/html/ https://www.redalyc.org/journal/3213/321366102012/321366102012.epub https://www.redalyc.org/journal/3213/321366102012/movil 10.14393/SN-v33-2021-59505 en http://www.redalyc.org/revista.oa?id=3213 Sociedade & Natureza application/pdf Universidade Federal de Uberlândia Sociedade & Natureza (Brasil) Vol.33 |
| format | Artículo científico |
| id | redalyc_321366102012 |
| language | en |
| publishDate | 2021 |
| publisher | Universidade Federal de Uberlândia |
| spellingShingle | Temporal analysis of drought coverage in a watershed area using remote sensing spectral indexes Débora Joana Dutra Geografía Social Geostatistics Vegetation Index Remote Sensing Seasonality Drought Index Temporal analysis of drought coverage in a watershed area using remote sensing spectral indexes Débora Joana Dutra Marcos Antônio Timbó Elmiro Marcelo Antônio Nero Carlos Wagner Gonçalves Andrade Coelho Plínio da Costa Temba Geografía Social Geostatistics Vegetation Index Remote Sensing Seasonality Drought Index The development of several time series analysis programs using satellite images has provided many applications based on resources from geostatistics field. Currently, the use of statistical tests applied to vegetation indexes has enabled the analysis of different natural phenomena, such as drought events in watershed areas. The objective of this article is to provide a comparative analysis between NDVI and EVI vegetation index data made available by MOD13Q1 project of MODIS sensor for drought mapping using vegetation condition index (VCI) in the Serra Azul stream sub-basin, MG. The methodology adopted the Cox-Stuart statistical test for seasonality analysis and Pearson's linear correlation to verify the influence of different indexes on delimitation of drought in a watershed. The results indicated the NDVI vegetation index as more efficient than EVI in spatial characterization of studied watershed region, mainly in identification of seasonality. The VCI proved to be highly feasible for monitoring drought in study period between 2013 and 2018, allowing the effective delimitation of drought conditions in the Serra Azul stream sub-basin. In addition, the effectiveness of MODIS sensor data in characterizing drought events that affected the study area was proven. 2021 artículo científico 0103-1570 https://www.redalyc.org/articulo.oa?id=321366102012 https://www.redalyc.org/journal/3213/321366102012/ https://www.redalyc.org/journal/3213/321366102012/html/ https://www.redalyc.org/journal/3213/321366102012/321366102012.epub https://www.redalyc.org/journal/3213/321366102012/movil 10.14393/SN-v33-2021-59505 en http://www.redalyc.org/revista.oa?id=3213 Sociedade & Natureza application/pdf Universidade Federal de Uberlândia Sociedade & Natureza (Brasil) Vol.33 |
| title | Temporal analysis of drought coverage in a watershed area using remote sensing spectral indexes |
| topic | Geografía Social Geostatistics Vegetation Index Remote Sensing Seasonality Drought Index |
| url | https://www.redalyc.org/articulo.oa?id=321366102012 https://www.redalyc.org/journal/3213/321366102012/ https://www.redalyc.org/journal/3213/321366102012/html/ https://www.redalyc.org/journal/3213/321366102012/321366102012.epub https://www.redalyc.org/journal/3213/321366102012/movil |