AbstractThe normalized difference vegetation index (NDVI) is one of the significant classification methods widely used in detecting land cover and land use changes. For this purpose, two Landsat TM images from 1990 to 2010 are used to extract NDVI values. The NDVI values are initially computed using the Natural Breaks (Jenks) method to classify NDVI map. Afterwards, a Difference NDVI map between 1990 and 2010 is generated to negatively or positively identify the values of land cover changes. Results confirmed that the area without vegetation, such as bodies of water, as well as built up areas and barren lands, increased from 3.55% in 1990 to 7.25% in 2010. The dense vegetation area also decreased from 78.57% to 65.44%, indicating the necess...
This study identifies land use changes in the metropolitan region of Klang-Langat Valley focusing on...
The normalized difference vegetation index (NDVI) time-series database, derived from NOAA/AVHRR, SPO...
Remote sensing and geographical information system methods are used frequently in field use, plannin...
The normalized difference vegetation index (NDVI) is one of the significant classification methods w...
AbstractThe normalized difference vegetation index (NDVI) is one of the significant classification m...
The information on land cover changes is very important in regional spatial planning. Remote sensing...
This research examined land cover change in Semarang city with the aims of 1) carrying out an invent...
Rapid urbanization and the risk of climatic variations, including a rise in temperature and increase...
Remote sensing data are primary sources extensively used for change detection in recent decades. In ...
The growth of Iskandar Malaysia as a regional development corridor is inescapable large and rapid. T...
Normalized Difference Vegetation Index (NDVI) is an index of greenness or photosynthetic activity in...
AbstractThis article presents an enhanced Change Detection method for the analysis of Satellite imag...
The study utilizes Landsat-7 ETM+ 2001and Landsat TM5 2009 based on Normalized Differences Vegetatio...
Each year, the population in Kalianda subdistrict, Lampung province keeps increasing. The increase i...
Sarawak’s location in the equatorial region makes it an area rich in rainfall. Therefore, hydroelect...
This study identifies land use changes in the metropolitan region of Klang-Langat Valley focusing on...
The normalized difference vegetation index (NDVI) time-series database, derived from NOAA/AVHRR, SPO...
Remote sensing and geographical information system methods are used frequently in field use, plannin...
The normalized difference vegetation index (NDVI) is one of the significant classification methods w...
AbstractThe normalized difference vegetation index (NDVI) is one of the significant classification m...
The information on land cover changes is very important in regional spatial planning. Remote sensing...
This research examined land cover change in Semarang city with the aims of 1) carrying out an invent...
Rapid urbanization and the risk of climatic variations, including a rise in temperature and increase...
Remote sensing data are primary sources extensively used for change detection in recent decades. In ...
The growth of Iskandar Malaysia as a regional development corridor is inescapable large and rapid. T...
Normalized Difference Vegetation Index (NDVI) is an index of greenness or photosynthetic activity in...
AbstractThis article presents an enhanced Change Detection method for the analysis of Satellite imag...
The study utilizes Landsat-7 ETM+ 2001and Landsat TM5 2009 based on Normalized Differences Vegetatio...
Each year, the population in Kalianda subdistrict, Lampung province keeps increasing. The increase i...
Sarawak’s location in the equatorial region makes it an area rich in rainfall. Therefore, hydroelect...
This study identifies land use changes in the metropolitan region of Klang-Langat Valley focusing on...
The normalized difference vegetation index (NDVI) time-series database, derived from NOAA/AVHRR, SPO...
Remote sensing and geographical information system methods are used frequently in field use, plannin...