Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
Monitoring and predicting variations in land surface temperature (LST) and soil moisture index (SMI) using remote sensing technology and modeling methodologies has become essential for making knowledgeable choices regarding crop production, surface evaporation calculation, identification of potential groundwater, and sustain able land use practices. LANDSAT data has opened new possibilities for studying land processes through remote sensing. This study aims to estimate LST and SMI in the Bharatpur municipality, Chitwan, Nepal using ArcGIS software and Landsat 8 data. The four bands of Landsat 8 including band 4, band 5, band 10, and band 11 are used. Running various empirical formulas including normalized difference vegetation index, atmosphere radiance, satellite brightness temperature, land surface emissivity and using the Landsat bands within ArcGIS, processing on the geographic coordinate system (World Geodetic System 1984) and the projected coordinate system UTM (Universal Transverse Mercator) zone 45 N, facilitates the estimation of both land surface temperature and soil moisture index.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
