scholarly journals Evaluation of Deterministic and Complex Analytical Hierarchy Process Methods for Agricultural Land Suitability Analysis in a Changing Climate

2016 ◽  
Vol 5 (6) ◽  
pp. 99 ◽  
Author(s):  
Harmen Romeijn ◽  
Robert Faggian ◽  
Vasco Diogo ◽  
Victor Sposito
Keyword(s):  
Analytical Hierarchy Process ◽  
Agricultural Land ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Changing Climate ◽  
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 Agriculture in Semi-Arid Region of Kadapa District, Southern India: Geospatial Approaches

2021 ◽  
Vol 5 (2) ◽  
pp. 59-72
Author(s):  
Rajasekhar M. ◽  
Sudarsana Raju G. ◽  
Nanabhau Kudnar ◽  
Ramachandra M. ◽  
Pradeep Kumar B.
Keyword(s):  
Agricultural Land ◽  
Pairwise Comparison ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Environmental Pressures ◽  
Land Suitability Analysis ◽  
Agricultural Efficiency ◽  
Integrated Methodology ◽  
Low Efficiency ◽  
Semi Arid Region

This research proposes an integrated methodology for incorporating RS, GIS and AHP techniques for the assessment of agricultural land suitability. In Kadapa district, Andhra Pradesh, India, study is being done on how to best promote agriculture as a source of income to boost the economy of the region. A combined RS, GIS and AHP techniques has been utilized that incorporates organizing AHP hierarchy, criteria specification, pairwise comparison, and criterion map preparation. Land suitability comparison showed that an area of 4.42 km2 (2.62%) is appropriate for irrigation, while an area of 54.39 km2 (32.33%) is appropriate moderately suitable for rainfed agriculture and 95.76 km2 (56.93%) is marginally suitable for agricultural productions. About 13.64 km2 (8.11%) land is currently not suitable for agricultural production. Additionally, the analysis clearly shows the necessity of a decrease in irrigated agricultural land and an increase in dry farm agricultural land. This application of RS, GIS and AHP based agricultural land suitability analysis is helpful in referring agricultural activities to the areas with good physical and environmental conditions, allowing maximum agricultural efficiency in the countryside, increasing non-agricultural uses in areas with low efficiency, and avoiding the construction and environmental pressures on suitable farmland.

scholarly journals Increasing Sugar Production in Indonesia Through Land Suitability Analysis and Sugar Mill Restructuring

Land ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 61 ◽  
Author(s):  
Andi Amran Sulaiman ◽  
Yiyi Sulaeman ◽  
Novia Mustikasari ◽  
Dedi Nursyamsi ◽  
Andi Muhammad Syakir
Keyword(s):  
Agricultural Land ◽  
Arable Land ◽  
World Market ◽  
Land Suitability ◽  
Sugar Production ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
The World ◽  
Sugar Mills ◽  
Sugarcane Productivity

Indonesia is the fourth most populated country in the world with an annual population growth rate of 1.3%. This growth is accompanied by an increase in sugar consumption, which is occurring at an annual rate of 4.3%. The huge demand for sugar has created a large gap between sugar production and demand. Indonesia became the world’s largest sugar importer in 2017–2018. Sugarcane farmers have an important role in sugar production. They are facing problems with declining sugarcane productivity and arable land decreasing. We aimed to understand the sugar production issue in Indonesia and to examine options to increase sugar production. To achieve these aims, a framework consisting of four steps was developed: Analysis of the current situation; problems identification; resolution; and delivering programs; and strategies. The main problems in sugar production in Indonesia were identified, including a stagnation in sugarcane harvest area, low sugarcane productivity, lack of good varieties, and inefficient sugar mills. Based on the identified problems, strategies to increase production were created. Two approaches need to be executed simultaneously: An increase in sugarcane planting area, and an increase in productivity and sugar yield. The first approach in increasing sugar production is the exploration of new sugarcane planting areas outside of Java both on existing agricultural land and in new areas. A land suitability analysis for the whole country was conducted based on a semi-detailed soil map. The main priority for development was the existing agricultural area via an integration system or existing crop exchange. The second approach is restructuring sugar factories through the revitalization of existing sugar mills and investment in the construction of new mills. The challenges that need to be addressed include land availability, provision of high-yielding varieties, and improving the efficiency of sugar mills. General strategies and medium-term programs are presented and discussed. These efforts, if well-executed, will boost Indonesia’s sugar production to meet its domestic demand by 2025, achieving competitiveness in the world market by 2045.

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.

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