Soil resource appraisal towards land use planning using satellite remote sensing and gis a case study in patloinala micro-watershed, district puruliya, west bengal

2006 ◽  
Vol 34 (3) ◽  
pp. 245-260 ◽  
Author(s):  
Dipak Sarkar ◽  
S. K. Gangopadhyay ◽  
A. K. Sahoo
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Planning ◽  
Satellite Remote Sensing ◽  
West Bengal ◽  
Remote Sensing And Gis ◽  
Resource Appraisal ◽  
Soil Resource

scholarly journals Land Evaluation for Land Use Planning Using Remote Sensing and GIS - A Case Study of Nawagaon Maskara Rao Watershed, Saharanpur, India

2020 ◽  
Vol 4 (2) ◽  
pp. 01-09
Author(s):  
Adegbenro RO ◽  
Suresh Kumar ◽  
Justin K George ◽  
Ojetade JO ◽  
Amusan AA
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Planning ◽  
Remote Sensing And Gis ◽  
Land Evaluation

scholarly journals Land Use Planning for Conservation Measures of Basin Using Remote Sensing and GIS Approach: A Case Study

2017 ◽  
Vol 12 (2) ◽  
pp. 436-444
Author(s):  
S.D. Vikhe ◽  
K.A. Patil
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Planning ◽  
Remote Sensing And Gis ◽  
Control Measures ◽  
Geographical Information ◽  
Areal Extent ◽  
Land Capability ◽  
Conservation Measures

Geographical information system proves efficient tool in delineation of watersheds and its planning. Land use planning through Land capability is the basis of watershed management programme. Land use planning for conservation measures of Basin using Remote Sensing and GIS Approach for Sukhana Basin of Aurangabad District, Maharashtra state has been carried out. Study area is located between 75.33°, 75.76° E longitudes, and 19.66°, 19.98° N latitudes. Class suitable for cultivation are II, III and IV have areal extent 134.41, 150.12 and 165.80 sq.Km. which is 67.32% of the total basin area and class VI and VII are not suitable for cultivation has areal extent 101.68 respectively which is 32.68% of the total area. Based on land capability classification, land use planning with reference to conservation planning for Class II,III,IV are gully control measures, farm bunding such as compartment bunding, contour bunding and graded bunding. Whereas, for class VI measures are continuous contour trenches and staggered trenching and for class VII treatment propose a pasture development.

scholarly journals Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2757 ◽  
Author(s):  
Kongming Li ◽  
Mingming Feng ◽  
Asim Biswas ◽  
Haohai Su ◽  
Yalin Niu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Satellite Remote Sensing ◽  
Gansu Province ◽  
Driving Factors ◽  
Driving Mechanism ◽  
Second Stage ◽  
Arid And Semiarid ◽  
Land Use And Cover

Land use and cover change (LUCC) is an important issue affecting the global environment, climate change, and sustainable development. Detecting and predicting LUCC, a dynamic process, and its driving factors will help in formulating effective land use and planning policy suitable for local conditions, thus supporting local socioeconomic development and global environmental protection. In this study, taking Gansu Province as a case study example, we explored the LUCC pattern and its driving mechanism from 1980 to 2018, and predicted land use and cover in 2030 using the integrated LCM (Logistic-Cellular Automata-Markov chain) model and data from satellite remote sensing. The results suggest that the LUCC pattern was more reasonable in the second stage (2005 to 2018) compared with that in the first stage (1980 to 2005). This was because a large area of green lands was protected by ecological engineering in the second stage. From 1980 to 2018, in general, natural factors were the main force influencing changes in land use and cover in Gansu, while the effects of socioeconomic factors were not significant because of the slow development of economy. Landscape indices analysis indicated that predicted land use and cover in 2030 under the ecological protection scenario would be more favorable than under the historical trend scenario. Besides, results from the present study suggested that LUCC in arid and semiarid area could be well detected by the LCM model. This study would hopefully provide theoretical instructions for future land use planning and management, as well as a new methodology reference for LUCC analysis in arid and semiarid regions.

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