Analytical hierarchy process for land suitability analysis

2014 ◽  
Author(s):  
Rahmat Sholeh ◽  
Fahrul Agus ◽  
Heliza Rahmania Hatta ◽  
Tarbiyatul Munawwarah
Keyword(s):  
Analytical Hierarchy Process ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Hierarchy Process

scholarly journals Land Suitability Analysis of Urban Growth in Seremban Malaysia, Using GIS Based Analytical Hierarchy Process

2017 ◽  
Vol 198 ◽  
pp. 1128-1136 ◽  
Author(s):  
Maher M. Aburas ◽  
Sabrina H.O. Abdullah ◽  
Mohammad F. Ramli ◽  
Zulfa H. Asha’ari
Keyword(s):  
Urban Growth ◽  
Analytical Hierarchy Process ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Hierarchy Process

GIS-based Land Suitability Analysis for Surface Irrigation Using Analytical Hierarchy Process Method in East and West Bellessa, Northwestern Ethiopia

2021 ◽  
Author(s):  
Azemeraw Wubalem
Keyword(s):  
Analytical Hierarchy Process ◽  
Pairwise Comparison ◽  
Study Finding ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Surface Irrigation ◽  
Pairwise Comparison Matrix ◽  
Land Suitability Analysis ◽  
Natural Break ◽  
Hierarchy Process

Abstract Bellessa is found in central Gondar, which is affected frequently by drought thanks to spatial and temporal failure of rainfall. Therefore, the agriculture in this area has to be supported by surface irrigation. For this, land suitability analysis for surface irrigation is extremely important to scale back food security problem. GIS-based land suitability analysis was conducted using analytical hierarchy process methods. Eight factors like slope, elevation, distance to water source, land use, soil texture, type, depth, and drainage are considered and therefore the weight of every parameter was estimated using 8x8 pairwise comparison matrix. After all, final land suitability map was generated using weighted overlay method under GIS tool. the ultimate map was classified into four land suitable classes using natural break classification method as highly suitable (S1), moderately suitable (S2), marginally suitable (S3), and not suitable class (S4). The result showed that highly suitable, moderately suitable, marginally suitable and not suitable class are covered 13.9%, 46.9%, 26.9%, and 12.2% of the whole area, respectively. This study finding will features a vital role in conducting surface irrigation considering the input parameters and therefore the final demarcated suitable land classes.

Multi-Criteria Land Suitability Analysis for Plantation in Upper Mula and Pravara Basin: Remote Sensing and GIS Approach

2018 ◽  
Vol 2 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Rajendra Zolekar ◽  
Vijay Bhagat
Keyword(s):  
Pairwise Comparison ◽  
Field Work ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
Weighted Overlay ◽  
Land Suitability Analysis ◽  
Final Output ◽  
Hierarchy Process

Assessment of land suitability potentials is an important step to detect the environmental limit for sustainable land management (SLM). Land suitability analysis (LSA) is more suitable, beneficial and environmentally acceptable for SLM. It deals with the assessment of land performances for the specific use like agriculture, plantation, etc. The main objective of the present study was to determine the suitable areas for plantation in the Upper Mula and Pravara Basin. GIS based Analytic Hierarchy Process (AHP) was used to analyze land suitability for plantation. Criterion like slope, LULC, depth, texture, moisture, SOC, MWHC, pH, EC and primary nutrients were used. Pairwise comparison matrix was used for calculation of weights for criterion and scores were assigned to sub-criterion using field work, experts’ opinions and literature review. Weighted overlay analysis was used for final output raster map. Then cell values of raster map were divided into four classes i.e. 9, 7, 4 and 1. Finally, these classes have reclassified into four suitability levels according to FAO. About 5% of reviewed land is highly suitable, 23% moderately suitable, 14% marginally suitable and 58% not suitable for plantation in the region.

scholarly journals Agroforestry land suitability analysis in the Eastern Indian Himalayan region

2021 ◽  
pp. 100199
Author(s):  
Arun Jyoti Nath ◽  
Rakesh Kumar ◽  
N. Bijayalaxmi Devi ◽  
Pebam Rocky ◽  
Krishna Giri ◽  
...  
Keyword(s):  
Land Suitability ◽  
Himalayan Region ◽  
Suitability Analysis ◽  
Indian Himalayan Region ◽  
Land Suitability Analysis
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