Site suitability for agriculture from barren land using remote sensing and GIS

2021 ◽  
Author(s):  
K. Santhoshkumaar ◽  
N. Muralimohan ◽  
R. Dhinaharan ◽  
M. Chandru ◽  
P. Aravindhan
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Site Suitability ◽  
Barren Land ◽  
Land Using

scholarly journals Land Use/Land Cover Mapping of Sambar Watershed by Using Remote Sensing and GIS

2021 ◽  
Vol 10 (9) ◽  
pp. 578-585
Author(s):  
B. Varpe Shriniwas D. Payal Sandip
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Remote Sensing And Gis ◽  
Rapid Expansion ◽  
Water Bodies ◽  
Land Cover Mapping ◽  
Fallow Land ◽  
Land Use Land Cover ◽  
Barren Land

In the present study, an effort has been made to study in detail of Land Use/Land Cover Mapping for Sambar watershed by using Remote Sensing and GIS technique was carried out during the year of 2020-2021 in Parbhani district. In this research the Remote Sensing and Geographical Information system technique was used for identifying the land use/land cover classes with the help of ArcGIS 10.8 software. The Sambar watershed is located in 19º35ʹ78.78˝ N and 76º87ʹ88.44˝ E in the Parbhani district of Marathwada region in Maharashtra. It is covered a total area 97.01 km2. The land use/land cover map and its classes were identified by the Supervised Classification Method in ArcGIS 10.8 software by using the Landsat 8 satellite image. Total six classes are identified namely as Agricultural area, Forest area, Urban area, Barren land, Water bodies and Fallow land. The Agricultural lands are well distributed throughout the watershed area and it covers 4135 ha. (43 per cent). Forest occupies 502 ha area and sharing about 5 per cent of the total land use land cover of the study area. The Urban land occupies 390 ha. area (4 per cent) and there was a rapid expansion of settlement area. Barren land occupies 3392 ha. area (35 per cent). A water bodies occupy 630 ha. area (6 per cent) and the Fallow land occupies 650 ha (7 per cent) but well-developed dendritic drainage pattern and good water availability is in the Sambar watershed.

scholarly journals A Geographical Analysis of Challakere Amrit Mahal Kaval Grasslands. Using Remote Sensing and GIS Technologies

2020 ◽  
pp. 56-71
Author(s):  
K. N. Ashwatha
Keyword(s):  
Remote Sensing ◽  
State Government ◽  
Social Life ◽  
Environmental Changes ◽  
Cattle Breed ◽  
Remote Sensing And Gis ◽  
Cultural Economic ◽  
Barren Land ◽  
Gis Technologies ◽  
The Impact

The Amrit Mahal Kaval grassland is a protected area dedicated to conservation of Amrit Mahal, an endangered breed of cattle that originated from the erstwhile state of Mysore in Karnataka. Nearly 14519 acres of grassland is reserved which is enriched with biodiversity and grassland ecosystem as well and with over 450 years of history. Thus, such kind of research on grasslands is important and also inevitable. Another important point to be noticed is that, this area was portrayed as barren land and in the year 2007, a report was prepared and submitted to the state government permitting Defense and other departments to use these 11400 acres of Amrit Mahal Kaval Grasslands which led to several impact on the biodiversity in this area. Remote sensing and GIS technologies were used to study the impact on grasslands in terms of Social, Cultural, Economic and Environmental changes between 2009 to 2019. By looking at the statistics of the Challakere Amrit Mahal Kaval grasslands it is evident that the developmental work carried out here has led to the loss of 4.59% of the vegetation area, 0.29% of the water sources and 24.6% of the pasture land. The Study focuses not only on the impact of biodiversity in that area but also on the social life of people. In today’s condition both development and ecological balance are important but at the same time it is really hazardous to suppress ecology in the name of development. Compromising ecology for development is proven inimical. It is the need of the hour to protect Amrit Mahal Kaval grasslands as it provides an important habitat for many endangered species like the Great Indian Bustard and Amrit Mahal cattle breed.

scholarly journals SITE SUITABILITY FOR DEVELOPING NEW COLD CHAIN USING MULTI-CRITERIA DECISION ANALYSIS AND GEOSPATIAL TECHNIQUES

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 325-331
Author(s):  
G. Upadhyay ◽  
B. K. Bhattacharya
Keyword(s):  
Remote Sensing ◽  
Cold Storage ◽  
Road Network ◽  
Agricultural Sector ◽  
Uttar Pradesh ◽  
Remote Sensing And Gis ◽  
Cold Chain ◽  
Optimum Level ◽  
Total Production ◽  
Site Suitability

<p><strong>Abstract.</strong> Growth and performance of various sectors of a country largely depends on the infrastructure developed by the country. It is true about the agricultural sector also. Along with the numbers, the location of these infrastructure play a vital role in reducing cost to the farmers while utilizing the existing resources like land, water, electricity and road network to their optimum level. India is the second largest producer of fruits, vegetable and tea. Against the total production of more than 500 MMT of horticultural &amp;amp; non-horticultural produces, the total cold storage capacity is estimated at approximately 31 MMT, which is not even 10% of the total production. In view of this, a site suitability study was conducted to develop an optimum plan to locate cold storages in the state of Uttar Pradesh, a leading potato growing state. Factors considered for evolving the plan includes the site of production, i.e. region where potato is grown, road network, existing cold storage, electricity and land use. When there are various factors behind any decision-making process, it becomes a complex process. It becomes difficult to decide which factor is to be given more importance and how other factors can be compounded with each other to arrive at a decision. Analytical Hierarchy process (AHP), helps us in determining the relative importance of various factors to arrive at a decision. In view of infrastructure planning, an illustrative map indicating spatial features is vital. As is widely established, remote sensing and GIS helps to obtain such a spatial map. Remote sensing and GIS was used to generate maps of the factors involved. AHP was used to develop weights of the factors in relation to each other to generate a map showing site suitability of places for developing cold storage facilities.</p>

scholarly journals IDENTIFICATION OF POTENTIAL SITES FOR WATER HARVESTING STRUCTURES USING GEOSPATIAL TECHNIQUES AND MULTI-CRITERIA DECISION ANALYSIS

2018 ◽  
Vol XLII-5 ◽  
pp. 329-334
Author(s):  
A. Saha ◽  
M. Patil ◽  
S. Karwariya ◽  
S. M. Pingale ◽  
S. Azmi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Decision Analysis ◽  
Central India ◽  
Remote Sensing And Gis ◽  
Water Harvesting ◽  
Suitability Analysis ◽  
Site Suitability ◽  
Multi Criteria Decision Analysis ◽  
Suitable Site ◽  
Water Harvesting Structures

<p><strong>Abstract.</strong> Changing hydrological phenomenon and increase the water demand in all sectors create a huge problem of water scarcity. Precipitation is one and only major source to mitigate this problem. In Central India, the average annual precipitation is sufficient in most of the part but not capable to harvest and utilize during the summer season. Identification of suitable site for water harvesting structures plays a key role to enhance the water level for watershed management. In the present study, suitable sites have been demarcated to build up a water resource development plan in Mandri river watershed of Kanker district, Chhattisgarh using Remote Sensing and GIS techniques. Basic guidelines of Integrated Mission for Sustainable Development (IMSD) have been used for identifying the suitable sites for water harvesting structures. Remote Sensing and GIS are used for site suitability analysis of water harvesting structure to extract the information of various features such as lineament, land use/land cover, soil, slope, lithology, geomorphology, drainage order, rainfall etc. In order of importance, we have assigned weights to each feature. Slope and design discharge are key parameters in site suitability analysis, so that we assigned maximum weight to this parameters. A possible site suitability map for water harvesting/conservation structures was derived following an Analytical Hierarchy Process (AHP) and Multi-Criteria Decision Analysis (MCDA). This work attempts to identify the probable zone for water harvesting structures such as boulder check/gabion, gully plug/bori bandhan, check dams and stop dams. Multi-criteria analysis is applied in GIS to assist the decision-makers in determining appropriate zones for water harvesting structures in view of external characteristics of the watershed. Further, using weighted overlay method, the catchment was grouped into categories of suitable or highly suitable.</p>

scholarly journals Remote sensing and GIS-based site suitability analysis for tourism development in Gili Indah, East Lombok

2016 ◽  
Vol 47 ◽  
pp. 012013 ◽  
Author(s):  
Debrina Agnes ◽  
Akbar Nandatama ◽  
Bagus Andi Isdyantoko ◽  
Fajri Aditya Nugraha ◽  
Giusti Ghivarry ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Tourism Development ◽  
Remote Sensing And Gis ◽  
Suitability Analysis ◽  
Site Suitability
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