DETECTION OF CHANGE IN VEGETATION COVER USING MULTI-SPECTRAL AND MULTI-TEMPORAL INFORMATION FOR DISTRICT SARGODHA, PAKISTAN
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidade Federal de Uberlândia
2012
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| _version_ | 1876453893753274368 |
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| author | Farooq Ahmad |
| author_facet | Farooq Ahmad |
| contents | DETECTION OF CHANGE IN VEGETATION COVER USING MULTI-SPECTRAL AND MULTI-TEMPORAL INFORMATION FOR DISTRICT SARGODHA, PAKISTAN Farooq Ahmad Geografía Social EVI NDVI multi Landsat temporal Detection of change is the measure of the distinct data framework and thematic change information that can direct to more tangible insights into underlying process involving land cover and landuse changes. Monitoring the locations and distributions of land cover changes is important for establishing links between policy decisions, regulatory actions and subsequent landuse activities. Change detection is the process that helps in determining the changes associated with landuse and land cover properties with reference to geo-registered multi-temporal remote sensing information. It assists in identifying change between two or more dates that is uncharacterized of normal variation. After image to image registrations, the normalized difference vegetation index (NDVI), the transformed normalized difference vegetation index (TNDVI), the enhanced vegetation index (EVI) and the soil-adjusted vegetation index (SAVI) values were derived from Landsat ETM+ dataset and an image differencing algorithm was applied to detect changes. This paper presents an application of the use of multi-temporal Landsat ETM+ images and multi-spectral MODIS (Terra) EVI/NDVI time-series vegetation phenology metrics for the District Sargodha. The results can be utilized as a temporal land use change model for Punjab province of Paki - stan to quantify the extent and nature of change and assist in future prediction studies. This will support environmental planning to develop sustainable landuse practices. 2012 artículo científico 0103-1570 https://www.redalyc.org/articulo.oa?id=321327330013 en http://www.redalyc.org/revista.oa?id=3213 Sociedade & Natureza application/pdf Universidade Federal de Uberlândia Sociedade & Natureza (Brasil) Num.3 Vol.24 |
| format | Artículo científico |
| id | redalyc_321327330013 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Universidade Federal de Uberlândia |
| spellingShingle | DETECTION OF CHANGE IN VEGETATION COVER USING MULTI-SPECTRAL AND MULTI-TEMPORAL INFORMATION FOR DISTRICT SARGODHA, PAKISTAN Farooq Ahmad Geografía Social EVI NDVI multi Landsat temporal DETECTION OF CHANGE IN VEGETATION COVER USING MULTI-SPECTRAL AND MULTI-TEMPORAL INFORMATION FOR DISTRICT SARGODHA, PAKISTAN Farooq Ahmad Geografía Social EVI NDVI multi Landsat temporal Detection of change is the measure of the distinct data framework and thematic change information that can direct to more tangible insights into underlying process involving land cover and landuse changes. Monitoring the locations and distributions of land cover changes is important for establishing links between policy decisions, regulatory actions and subsequent landuse activities. Change detection is the process that helps in determining the changes associated with landuse and land cover properties with reference to geo-registered multi-temporal remote sensing information. It assists in identifying change between two or more dates that is uncharacterized of normal variation. After image to image registrations, the normalized difference vegetation index (NDVI), the transformed normalized difference vegetation index (TNDVI), the enhanced vegetation index (EVI) and the soil-adjusted vegetation index (SAVI) values were derived from Landsat ETM+ dataset and an image differencing algorithm was applied to detect changes. This paper presents an application of the use of multi-temporal Landsat ETM+ images and multi-spectral MODIS (Terra) EVI/NDVI time-series vegetation phenology metrics for the District Sargodha. The results can be utilized as a temporal land use change model for Punjab province of Paki - stan to quantify the extent and nature of change and assist in future prediction studies. This will support environmental planning to develop sustainable landuse practices. 2012 artículo científico 0103-1570 https://www.redalyc.org/articulo.oa?id=321327330013 en http://www.redalyc.org/revista.oa?id=3213 Sociedade & Natureza application/pdf Universidade Federal de Uberlândia Sociedade & Natureza (Brasil) Num.3 Vol.24 |
| title | DETECTION OF CHANGE IN VEGETATION COVER USING MULTI-SPECTRAL AND MULTI-TEMPORAL INFORMATION FOR DISTRICT SARGODHA, PAKISTAN |
| topic | Geografía Social EVI NDVI multi Landsat temporal |
| url | https://www.redalyc.org/articulo.oa?id=321327330013 |