The first step involves the generation of random samples of three major land cover types, namely soil, impervious surface areas (ISAs), and vegetation. With spectral signatures of these samples, a normalized difference soil index (NDSI) was proposed using the combination of bands 7 and 2 of ...
RNDSI: A ratio normalized difference soil index for remote sensing of urban/suburban environments. International Journal of Applied Earth Observation and Geoinformation, 39(7), pp. 40-48.Deng, Y.; Wu, C.; Li, M.; Chen, R. RNDSI: A ratio normalized difference soil index for remote ...
There was a large patch of nonvegetation in the eastern part of the city (Rasafa part), which reveals that it has many poor settlement districts and high population density, bare soil and low NDVI values. Table 2 NDVI values, vegetation area, their differences and percentages for 2008, ...
To alleviate the confusion between built-up area and bare soil which is one of the major difficulties in the extraction of built-up area, this article proposes a novel Modified Normalized Difference Built-up Index (MNDBI). Moreover, a two-step post processing scheme, including clustering and ...
The generated NDSMI index values displayed a strong correlation on conversion to soil moisture data after multiplying with the scaling factor as displayed by values of coefficient of determination (R2), Nash-Sutcliff Efficiency (ENS), standard deviation ratio (RSR) and Percent Bias (PBIAS)between...
The two-dimensional normalized difference space described here allows for improved discrimination among bare soils and emergent vegetation when there are multiple soil types in the scene. A 2-D model of soil-specific change in vegetation density is presented. An application of the vector index to ...
To alleviate the confusion between built-up area and bare soil which is one of the major difficulties in the extraction of built-up area, this article proposes a novel Modified Normalized Difference Built-up Index (MNDBI). Moreover, a two-step post processing scheme, including clustering and ...
The aim of this study was to analyze the impact of the containment imposed in response to the COVID-19 pandemic on the vegetation cover and to highlight significant changes in the distribution of normalized difference vegetation index (NDVI) before and after the contai...
Delineation of potential hot spots of aeolian dust using normalized difference water indexDue to the drop in water levels during the monsoon season, the soil particles of the exposed riverbed of Zhuoshui River are easily suspended in the air, causing serious river dust problems and endangering ...
Combined with the bare soil index (BSI), NDCSI was applied for linear spectral mixture analysis (LSMA) using Sentinel-2 multispectral imaging. Positive correlations (R2 = 0.827, p < 0.01) between measured brightness values and fractional illuminated vegetation cover (FIVC) demonstrate the capacity...