The accurate and efficient extraction of urban areas is great significance for better understanding sprawl, built environment, economic activities, population distribution. Night-Time Light (NTL) data have been widely used to extract areas. However, most the existing NTL indexes are incapable identifying non-luminous built-up high-resolution imagery derived from Luojia 1-01 satellite, with low ...

Due to the spatiotemporal variations of complex optical characteristics, accurately estimating chlorophyll-a (Chl-a) concentrations in inland waters using remote sensing techniques remains challenging. In this study, a weighted algorithm was developed to estimate the Chl-a concentrations based on spectral classification and weighted matching using normalized mutual information (NMI). Based on t...

Normalized difference vegetation index and land surface temperature data, in a sample plot each from east, center and west of Nepal, from 2000 to 2015, were analyzed to identify and compare the trends of vegetation and temperature changes during the period. The data were obtained from moderate resolutions imaging spectro-radiometer. Normalized difference vegetation index charactiszes a resoluti...

The present study analyzes the seasonal variability of relationship between land surface temperature (LST) and normalized difference bareness index (NDBaI) on different use/land cover (LULC) in Raipur City, India by using sixty-five Landsat images four seasons (pre-monsoon, monsoon, post-monsoon, winter) 1991-1992, 1995-1996, 1999-2000, 2004-2005, 2009-2010, 2014-2015, 2018-2019. results show t...