上木拉和普拉瓦拉流域人工林土地适宜性多指标分析:遥感和GIS方法

R. Zolekar, V. Bhagat
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引用次数: 7

摘要

土地适宜性潜力评价是发现土地可持续管理环境极限的重要步骤。土地适宜性分析(LSA)更适合、有益和环境上可接受的土地管理。它涉及特定用途的土地绩效评估,如农业、种植园等。本研究的主要目的是确定上穆拉盆地和普拉瓦拉盆地的适宜种植区域。采用基于GIS的层次分析法(AHP)对土地适宜性进行了分析。采用坡度、LULC、深度、质地、水分、SOC、MWHC、pH、EC和主要营养素等标准。采用两两比较矩阵计算各指标的权重,通过实地考察、专家意见和文献综述对各子指标进行评分。最终输出的栅格图采用加权叠加分析。然后将栅格图的单元格值分为9、7、4、1四类。最后,粮农组织将这些类别重新划分为四个适宜性级别。调查结果显示,该地区高度适宜、中度适宜、轻度适宜和不适宜种植的土地比例分别为5%、23%、14%和58%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Criteria Land Suitability Analysis for Plantation in Upper Mula and Pravara Basin: Remote Sensing and GIS Approach
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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