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Landuse and landcover analysis using remote sensing and gis: a case study in and around rajampet, kadapa district, andhra pradesh, india

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TLDR
In this article, the authors have made use of high-resolution IRS LISS III satellite imagery for identifying the land use/land cover classes of Rajampet of Kadapa District, Andhra Pradesh, India.
Abstract
Land use/ land cover is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to monitor and detect the changes to maintain a sustainable environment. Land use/ land cover change study is very important aspect of the natural resources data base study. The knowledge of land use and land cover is important for many planning and management activities as it is considered as an essential element for modeling and understanding the earth’s features. The present study aims to find out the land use/land cover features of in and around Rajampet of Kadapa District, Andhra Pradesh, India. The total area of the region is 316.88 sq.km. The study has made use of high resolution IRS LISS III satellite imagery for identifying the land use/land cover classes. ERDAS and ArcGIS software were used to demarcate the land use/land cover features of study area. Remote sensing and GIS provide consistent and accurate base line information than many of the conventional surveys employed for such a task. The land use and land cover analysis in and around Rajampeta area has been attempted based on thematic mapping of the area consisting of built-up land, agriculture land, water bodies, forest and waste land using the satellite image. The research concludes that there is a rapid expansion of built-up area. In the study area the major part is occupied by the cultivated land. Land use and land cover information, when used along with information on other natural resources, like water, soil, hydro-geomorphology, etc. will help in the optimal land use planning at the macro and micro level.

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An Appraisal of Land Use/Land Cover Change Scenario of Tummalapalle, Cuddapah Region, India—A Remote Sensing and GIS Perspective

TL;DR: In this article, the authors used IRS P6 LISS-III and LANDSAT-8 OLI multitemporal data pertaining to the years 2006 and 2016 to evaluate the changing land use/land cover scenario of Tummalapalle region in Cuddapah district of Andhra Pradesh.

Impacts of land use cover change, cropland expansion and climate change on the potential of yield and production in Ethiopia, Gambella Region

TL;DR: In this paper, the authors focused mainly on three aspects: examining the rate, extent and distribution of various land-use land-cover changes (LULCC) in Gambella Regional State and looking at the expansion of farmland and different farming intensities in the region; estimating the magnitude and extent of the intensification potential of the key Gambella cereal crops (maize and sorghum) and seeking to identify potential cropland expansion areas in the area; and investigating the impacts of future climate change on potential crop yields, with maize as an exemplar, under climate change
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Land use and Land cover Mapping Based on Normalized Difference Vegetation Index using Remote Sensing and Geographical Information System in Banjar River Watershed of Narmada Basin

TL;DR: Tiwari et al. as discussed by the authors used the Normalized Difference Vegetation Index (NDVI) approach for land use and land cover (LULC) classification of the Banjar river watershed in Madhya Pradesh, India.
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Comparative study of semi-distributed and 2D-distributed hydrological models for streamflow prediction in a data scarce mountainous watershed

TL;DR: In this paper, the authors compared and evaluated the hydrological behavior of the selected models for a data-scarce mountainous watershed located in Myanmar and found that the predicted flow from RRI model gives a good agreement with the observed flow, is slightly better than the SWAT model in daily simulation from the comparative analysis.
References
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Book

Remote sensing and image interpretation

TL;DR: In this article, the authors present a textbook for introductory courses in remote sensing, which includes concepts and foundations of remote sensing; elements of photographic systems; introduction to airphoto interpretation; air photo interpretation for terrain evaluation; photogrammetry; radiometric characteristics of aerial photographs; aerial thermography; multispectral scanning and spectral pattern recognition; microwave sensing; and remote sensing from space.
Journal ArticleDOI

Remote Sensing and Image Interpretation

TL;DR: In this article, the concept of remote sensing elements of photogrammetry was introduced. Butterfly, thermal, and hyperspectral sensors were used to interpret multispectral, thermal and hypererspectral images.
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Principles of Geographical Information Systems for Land Resources Assessment

TL;DR: Geographical information systems Data structures for thematic maps Digital elevation models Data input, verification, storage, and output Methods of data analysis and spatial modelling Data quality, errors, and natural variation: sources of error Errors arising through processing.

Remote Sensing And Image Interpretation

Ute Beyer
TL;DR: The remote sensing and image interpretation is universally compatible with any devices to read and is available in the digital library an online access to it is set as public so you can get it instantly.
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