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The term land use is referred to the human activity or economic activity associated with
a specific piece of land. The term land cover is related to the type of feature available
naturally on the surface of the planet earth. The land use of a tract of land on the fringe
of an urban area could be described as urban use, residential use, or single-family
residential use; while the same tract would have a land cover consisting of grass and
trees (Lilles and et al., 2007). Prakasam (2010) states “Land cover is that which covers
the surface of the earth and land use as, how the land cover is modified. Land cover
includes: water, snow, grassland, forest, and bare Soil. Land Use includes agricultural
land, built up land, recreation area, wildlife management area etc”. Land use is
influenced by economic, cultural, political, and historical and land-tenure factors at
multiple scales. Land cover, on the other hand, is one of the many biophysical attributes
of the land that affect how ecosystems function (Turner et al., 1995). Thus, Land Use
(LU) referred to as man’s activities and the various artificial cover resulting due to land
transformation and uses which are carried on Land. Whereas Land Cover (LC) is
referred to natural phenomena such as natural vegetation, water bodies, rock/soil which
exist naturally (Roy and Giriraj, 2008). Information on land use/land cover (LULC) in
the form of maps and statistical data is very vital for spatial planning, management and
utilisation of land for agriculture, forestry, pasture, urban-industrial, environmental
studies, economic production etc. Today, with the growing population pressure, low
man-land ratio and increasing land degradation, the need for optimum utilization of land
assumes much greater relevance. The draft of the National Land Use Policy (NLUP)
and strategy on Optimum Land Use Planning (LUP) and the creation of National Land
Use Conservation Board (NLUCB) in 1985 clearly indicated the serious concern of the
Government of India in this regard (Roy,and Giriraj, 2008).To achieve the goal of
sustainable development and to manage our resources, study of both land use and land
cover can have an important roles to play (Lillesand et al., 2007). To monitor LU/LC we need to agree on standard classes of LULC. As there are various classification systems of LULC; some of them are Anderson Approach, National Land Use Database (NLUD) in England, the United States Geological Survey (USGS) department Land Use and Land Cover (LULC) Classification. In India, the organisational efforts publishing maps, reports and statistical data by the Survey of
India (SOI), National Atlas and Thematic Mapping Organization (NATMO), National
Bureau of Soil Survey and Land Use Planning (NBSS and LUP), All India Soil and
Land Use Survey (AIS and LUS), Central Arid Zone Research Institute (CAZRI),
Ministry of Agriculture, Settlement Survey and Land Records, Revenue Department.
National Sample Survey, State Land Use Boards, Town and Country Planning
Organization (TCPO) and other local agencies are noteworthy for LULC classification
(Roy, and Giriraj, 2008). The basic concepts and structure of USGS devised LULC classification system could be used in the research for its validation today. The basic USGS LULC classification.
Keywords:
To analyse the pattern of climate through rainfall and temperature data in NeemKa-Thana tehsil. 2. To monitor the Land Use/Land Cover (LULC) changes in Neem Ka Thana tehsil. 3. To analyse the correlation between Climatic patterns and water availability. 4. To monitor the impacts of natural processes and anthropogenic activities on Land Use/Land Cover (LULC) and water supply in the tehsil. 5. To prepare the sustainable Land Use/Land Cover (LULC) of the tehsil.
Cite Article:
"Geographical Study of Landuse Changes and Water Scarcity in Neemkathana, Rajasthan Using Remote Sensing and GIS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 9, page no.140 - 148, September-2023, Available :http://www.ijrti.org/papers/IJRTI2309021.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator