Journal Article•
Landuse and landcover analysis using remote sensing and gis: a case study in and around rajampet, kadapa district, andhra pradesh, india
01 Jan 2015-International Journal of Multidisciplinary Research and Development-Vol. 2, Iss: 1, pp 186-191
TL;DR: 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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01 Jan 2016
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.
Abstract: Thank you very much for downloading remote sensing and image interpretation. As you may know, people have look hundreds times for their favorite novels like this remote sensing and image interpretation, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their computer. remote sensing and image interpretation is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the remote sensing and image interpretation is universally compatible with any devices to read.
1,802 citations
TL;DR: The results show that farmland decreased by 26 km2 from 1987 to 2000; however, during the last two decades, agricultural land area increased by 599 km2, mainly at the cost of tropical grasslands and forests.
42 citations
Cites background from "Landuse and landcover analysis usin..."
...Human use of land has had a profound effect upon the natural environment resulting in an observable pattern in Land Use and Land Cover (LU/LC) over time [5, 6]....
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TL;DR: Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as ‘good’, ‘moderate to good‘, ’moderate’ and ‘poor’.
21 citations
20 Mar 2019
TL;DR: In this paper, an aggregate of eight thematic layers affecting groundwater potential of the area were assigned appropriate weights dependent on the Saaty's 9 point scale, and normalized using AHP technique to delineate the GWPZ.
Abstract: Water scarcity due to increasing urbanization and population in urban and rural areas makes necessary planning for artificial groundwater recharge. Remote Sensing (RS), Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) are advantageous tools to delineate the Groundwater Potential Zones (GWPZ) in arid and semi-arid areas of India. An aggregate of eight thematic layers affecting groundwater potential of the area were assigned appropriate weights dependent on the Saaty’s 9 point scale. These weights were normalized using AHP technique to delineate the GWPZ. About 2.30km2 shows very good groundwater potential (GWP), 162.10km2 shows good GWP, whereas 127.78km2 and 1.45km2 are under moderate and poor GWP, correspondingly. The structural hilly terrain located in the Eastern and Southern parts has a poor groundwater potential due to higher degree of slope and low permeability of clayey soils. This study can be helpful to identify the GWPZ of drought-prone zones useful for planning and development with integrated water resources management.
18 citations
13 Apr 2020
TL;DR: In this article, the extent of desertified land for the years 1990, 2000, 2010 and, 2018 is assessed, respectively about 28.22 Km, 33.86 Km and 46.30 Km.
Abstract: Desertification is one of the foremost environmental and social-economic problems facing the world. Thus, the observation and early detection of desertification is primary objective for scientific and policy organizations, with geospatial techniques as similar as Remote Sensing (RS) and Geographical Information System (GIS) being a candidate choice for the enlargement of monitoring systems. The present study purposes to assess the desertification caused by Aeolian sand deposits near Vedavathi River in a semi-arid region of Anantapur district, aided by temporal data of satellite imageries of past 28 years (1990 to 2018), were collected and processed. The extent of desertified land for the years 1990, 2000, 2010 and, 2018 is assessed, respectively about 28.22 Km, 33.86 Km, 46.30 Km and, 58.62 Km. For the past 28 years, the Aeolian sand desertification is increased into the alarming rates with the land extent of 30.4 Km. © 2019 GATHA COGNITION All rights reserved. Article history Received: 11 November, 2019; Final form: 06 February 2020; Accepted: 02 April 2020.
10 citations
Cites background from "Landuse and landcover analysis usin..."
...Present study shows LULC is major result to identify and estimate the land use exploitation which has a greater key role in the desertification by man-made process (Sreenivasulu et al., 2014; Rajasekhar et al., 2017 and 2019c; Pradeep Kumar et al., 2019)....
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References
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Abstract: A textbook prepared primarily for use in introductory courses in remote sensing is presented. Topics covered include concepts and foundations of remote sensing; elements of photographic systems; introduction to airphoto interpretation; airphoto 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.
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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.
Abstract: Concepts and Foundations of Remote Sensing Elements of Photographic Systems Basic Principles of Photogrammetry Introduction to Visual Image Interpretation Multispectral, Thermal, and Hyperspectral Sensing Earth Resource Satellites Operating in the Optical Spectrum Digital Image Processing Microwave and Lidar Sensing Appendix A: Radiometric Concepts, Terminology, and Units Appendix B: Remote Sensing Data and Information Resources Appendix C: Sample Coordinate Transformation and Resampling Procedures
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21 Aug 1986
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.
Abstract: 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 The nature of boundaries Classification methods Methods of spatial interpolation Choosing a geographical information system Appendices Index.
2,577 citations
01 Jan 2016
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.
Abstract: Thank you very much for downloading remote sensing and image interpretation. As you may know, people have look hundreds times for their favorite novels like this remote sensing and image interpretation, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their computer. remote sensing and image interpretation is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the remote sensing and image interpretation is universally compatible with any devices to read.
1,802 citations
888 citations