首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Impact Assessment of GIS Based Land Resource Inventory Towards Optimizing Agricultural Land Use Plan in Dandakaranya and Easternghats Physiographic Confluence of India
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Impact Assessment of GIS Based Land Resource Inventory Towards Optimizing Agricultural Land Use Plan in Dandakaranya and Easternghats Physiographic Confluence of India

机译:基于GIS基于GIS的土地资源清单对印度丹卡兰达及东部地基汇合优化农业用地利用计划的影响评价

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GIS based land resource inventory (LRI) with fine resolution imagery is considered as most authentic tool for soil resource mapping. Soil resource mapping using the concept of soil series in a smaller scale limits its wide application and also its impact assessment for crop suitability is controversial. In this study, we attempted to develop LRI at large scale (1:10,000 scale) at block level land use planning (LUP) in Dandakaranya and Easternghats physiographic confluence of India. The concept of land management unit was introduced in this endeavour. The impact assessment of LRI based LUP was exercised to develop efficient crop planning with best possible management practices. The study area comprised six landforms with slope gradient ranging from very gentle (1-3%) to steep slopes (15-25%). The very gently sloping young alluvial plains occupied maximum areas (19.95% of TGA). The single cropped (paddy) land appears to dominate the land use systems (40.0% of TGA). Thirty three landscape ecological units were resulted by GIS-overlay. Eighteen soils mapping units were generated. The area was broadly under two soil orders (Inceptisols and Alfisols); three great group (Haplaquepts, Rhodustalfs and Endoaquepts) and ten soil series. Crop suitability based impact assessment of LRI based LUP revealed that average yield of different crops increased by 39.2 and 14.5% in Kharif (rainy season) and Rabi (winter) seasons respectively and annual net returns by 83.4% for the cropping system, compared to traditional practices. Productivity and net returns can be increased several folds if customized recommended practices are adopted by the farmers. Informations generated from the study emphasized the potentiality of LRI towards optimizing LUP and exhibited an ample scope to use the methodology as a tool to assess in other physiographic regions in India and abroad.
机译:基于GIS的土地资源库存(LRI)具有精细分辨率图像被认为是土壤资源映射的最真实的工具。土壤资源映射采用较小规模的土壤系列概念限制了其广泛的应用,并且其对作物适用性的影响评估是有争议的。在这项研究中,我们试图在丹卡拉尼亚的块水平土地使用规划(LUP)和印度的Easternghats Geaboography Confluence中,在大规模(1:10,000规模)下开发LRI。在此努力中介绍了土地管理单位的概念。基于LRI的LUP的影响评估是通过最佳管理实践开发有效的作物规划。研究区域包括六个地形,坡度梯度范围从非常温和(1-3%)到陡坡(15-25%)。非常轻微的倾斜的幼苗平原占据最大区域(19.95%的TGA)。单一裁剪(稻谷)土地似乎主导了土地使用系统(40.0%的TGA)。 GIS叠加导致三十三个景观生态单位。产生十八块土壤映射单位。该地区在两种土壤命令下广泛(Incepisols和Alfisol);三大群(Haplaquepts,Rhodustalfs和Endoapepts)和十个土壤系列。基于LRI Lup的作物适用性基于影响评估显示,与传统系统分别增加了39.2和14.5%的不同作物的平均产量增加了39.2%和14.5%,而传统的种植系统则净收回的年度净返回83.4%实践。如果农民采用定制的建议做法,生产力和净返回可以增加几折几倍。从研究中产生的信息强调了LRI对优化LUP的潜力,并且展示了充分的范围,以利用该方法作为评估印度和国外的其他地理学地区的工具。

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