Portada del libro de Development of Land &Water Resources using RS&GIS Techniques
Título del libro:

Development of Land &Water Resources using RS&GIS Techniques

LAP LAMBERT Academic Publishing (2016-01-07 )

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ISBN-13:

978-3-659-82166-0

ISBN-10:
3659821667
EAN:
9783659821660
Idioma del libro:
Inglés
Notas y citas / Texto breve:
“Micro-level planning for the Development of Land and Water Resources in Kalyandurg Area of Anantapur District, Andhra Pradesh, India: Using Remote Sensing and GIS Techniques” Kalyandurg area is the most chronicle drought prone part and also the most backward area located on western side of Anantapur district. Soil cover in the study area is predominantly red loamy soils followed by black soils and alluvial soils. Natural vegetation is very thin and scanty and mostly thorn scrub jungle type. The terrain is largely undulating and closely disclosing the characteristic feature of plateau topography. The study region is predominantly agricultural in its economy and hence the development of agriculture is crucial and forms the basis of socio-economic development of the living population. In this study both visual and digital (computer) techniques have been employed to analyze the resources using satellite data (LISS-IV + Cartosat-1 and other satellite data) as well as conventional data. The Land Use and Land Cover (LULC) maps for two periods i.e. 2000 and 2012 were prepared and presented, classify the Soils and the climatic parameters such as rainfall, temperature& surface water etc.
Editorial:
LAP LAMBERT Academic Publishing
Sitio web:
https://www.lap-publishing.com/
Por (autor):
Raghuveer Naidu Konanki
Número de páginas:
256
Publicado en:
2016-01-07
Stock:
Disponible
Categoría:
Geografía
Precio:
82.90 €
Palabras clave:
Anantapur, Andhra Pradesh, Behavioral approach of Farming community, Cropping Pattern, Depth to Groundwater levels, Drought Prone area, DTW, Geology, GIS, groundnut, Groundwater, Groundwater quality, Kalyandurg, land and water resources, land capability, Land Use & Land Cover (LULC), Paddy, Remote sensing, soils, Surface Water

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