Remote sensing can present an efficient and reliable means of collecting the information and with the multispectral sensors can provide information of about the health of the vegetation. The spectral reflectance of an area will vary with respect to changes in the crop type, health and growth. The study deals to calculate the NDVI (Normalized difference vegetation index) for the Chennai City using remote sensing technique by using open source Quantum GIS software. For this purpose Landsat ETM+ images of the year 1991 and 2006 was obtained for the study area. The NDVI values for the year 1991 vary from-0.31 to +0.42 and during 2006 it varies from-0.36 to +0.48
ABSTRACT: Crop monitoring is an important factor that contributes in any nation’s economy, and thei...
Normalized difference vegetation index (NDVI) produced from the 1980 Landsat MSS image. NDVI is a me...
Normalized difference vegetation index (NDVI) produced from the 1993 Landsat Thematic Mapper(TM) ima...
Remote sensing can present an efficient and reliable means of collecting the information and with th...
AbstractThis article presents an enhanced Change Detection method for the analysis of Satellite imag...
Normalized difference vegetation index (NDVI) produced from the 2000 Enhanced Landsat Thematic Mappe...
This study uses the Normalised Difference Vegetation Index (NDVI) from 1992 to 2019 to examine the s...
Remote sensing techniques are widely used to detect and analyze land cover changes due to their accu...
Normalized Difference Vegetation Index (NDVI) is an index of greenness or photosynthetic activity in...
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...
Landuse and landcover mapping determines the land resources throughout the world also it helps to de...
Normalized difference vegetation index (NDVI) produced from the 1985 Landsat Thematic Mapper(TM) ima...
Remote sensing and geographical information system methods are used frequently in field use, plannin...
Normalized difference vegetation index (NDVI) produced from the 1998 Landsat Thematic Mapper(TM) ima...
ABSTRACT: Crop monitoring is an important factor that contributes in any nation’s economy, and thei...
Normalized difference vegetation index (NDVI) produced from the 1980 Landsat MSS image. NDVI is a me...
Normalized difference vegetation index (NDVI) produced from the 1993 Landsat Thematic Mapper(TM) ima...
Remote sensing can present an efficient and reliable means of collecting the information and with th...
AbstractThis article presents an enhanced Change Detection method for the analysis of Satellite imag...
Normalized difference vegetation index (NDVI) produced from the 2000 Enhanced Landsat Thematic Mappe...
This study uses the Normalised Difference Vegetation Index (NDVI) from 1992 to 2019 to examine the s...
Remote sensing techniques are widely used to detect and analyze land cover changes due to their accu...
Normalized Difference Vegetation Index (NDVI) is an index of greenness or photosynthetic activity in...
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...
Landuse and landcover mapping determines the land resources throughout the world also it helps to de...
Normalized difference vegetation index (NDVI) produced from the 1985 Landsat Thematic Mapper(TM) ima...
Remote sensing and geographical information system methods are used frequently in field use, plannin...
Normalized difference vegetation index (NDVI) produced from the 1998 Landsat Thematic Mapper(TM) ima...
ABSTRACT: Crop monitoring is an important factor that contributes in any nation’s economy, and thei...
Normalized difference vegetation index (NDVI) produced from the 1980 Landsat MSS image. NDVI is a me...
Normalized difference vegetation index (NDVI) produced from the 1993 Landsat Thematic Mapper(TM) ima...