Abstract

Remote Sensing (RS) and Geographic Information Systems (GIS) are becoming powerful tools in climatological modelling. This study proposes an empirical methodology to prepare digital data set of land use/land cover, soil and digital elevation model (DEM) using RS and GIS techniques. The study area is Gangetic West Bengal and its neighborhood in the eastern India, where a number of weather systems occur throughout the year. Gangetic West Bengal is a region of strong heterogeneous surface with several weather disturbances. Standard false color composite (Std FCC) bands (green, red and near Infrared bands) of LANDSAT-7, ETM+ sensor are used to produce land use/land cover dataset. DEM is built using the contours and spot heights which are collected from Topographical maps of the region. With the help of soil region map of West Bengal and soil region map of India the soil texture dataset is built. All the data sets are converted to the spatial resolution of 1km and 5km, which can be used as the independent variables for climatological modelling (specifically air temperature modelling) of the study area.

Highlights

  • Introduction the groundAt night, a vegetated area with short plants or Surface cover is very important for governing air an area of open bare ground may cool rapidly due to its temperature variations of a particular area (Eliasson & higher radiative cooling rate (Spronken-Smith & OkeSvensson, 2003)

  • A multitude of factors are responsible for air colour, roughness, moisture regime and the type & temperature differences

  • As land cover directly affects the density of vegetation canopy play the dominant role in energy balance characteristics, it is essential to determining surface atmosphere energy exchanges

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Summary

Introduction

Introduction the groundAt night, a vegetated area with short plants or Surface cover is very important for governing air an area of open bare ground may cool rapidly due to its temperature variations of a particular area (Eliasson & higher radiative cooling rate (Spronken-Smith & OkeSvensson, 2003). In understand the air temperature differences in the study most cases, the observed air temperatures varies area. The air temperature is influenced by soil significantly according to ambient land cover types, and temperature which in turn is a function of primarily soil through latent heat transfer the air temperatures tend to organic matter, moisture regime and the mineral content decrease as the amount of vegetated area around the (cumulative effect of which gives rise to the soil colour).

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