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Identification of Suitable Aquaculture Sites Using Large-Scale Land Use and Land Cover Maps Factoring the Prevailing Regulatory Frameworks: A Case Study from India
Journal of the Indian Society of Remote Sensing ( IF 2.5 ) Pub Date : 2020-11-11 , DOI: 10.1007/s12524-020-01211-7
Arur Anand , P. Krishnan , Arun S. Suryavanshi , S. B. Choudhury , G. Kantharajan , Ch. Srinivasa Rao , C. Manjulatha , D. E. Babu

Identification of a suitable site is a crucial step for the sustainability of an aquaculture venture. This study shows a framework for identifying areas suitable for freshwater and brackishwater aquaculture in India while integrating the governing regulations. Land use and land cover (LULC) maps at 1:10,000 scale derived from high-resolution imagery were used as base maps, along with allied layers. Site selection criteria were identified through review. Multi-criteria evaluation technique was used to select the technically suitable sites. Coastal regulation zone and coastal aquaculture authority guidelines, which form the regulatory framework governing brackishwater aquaculture in India, were spatially applied on the technically suitable sites to locate sites complying with regulations. The analysis was carried out using layers in the vector geographical information system format. The study was done in one coastal block each from two coastal states along the east coast of India, viz. Odisha and Tamil Nadu. The study identified areas suitable for brackishwater aquaculture in the selected blocks of Odisha (Ersama block: 86 ha) and Tamil Nadu (Pattukottai block: 343 ha). Areas suitable for freshwater aquaculture in Ersama and Pattukottai were 4286 ha and 6265 ha, respectively, while the areas suitable for freshwater aquaculture with interventions, in the respective blocks, were 487 ha and 2467 ha. In context of scarce land availability for aquaculture and stringent laws governing it, we demonstrate utility of large-scale LULC maps for identifying sites suitable for freshwater and brackishwater aquaculture, through a multi-criteria approach.

中文翻译:

使用大规模土地利用和土地覆盖图确定合适的水产养殖地点,将现行监管框架考虑在内:来自印度的案例研究

确定合适的地点是水产养殖企业可持续发展的关键步骤。本研究展示了一个框架,用于确定适合印度淡水和半咸水水产养殖的区域,同时整合管理法规。来自高分辨率图像的 1:10,000 比例尺的土地利用和土地覆盖 (LULC) 地图与相关图层一起用作底图。通过审查确定了选址标准。多标准评价技术被用于选择技术上合适的地点。沿海管制区和沿海水产养殖当局指南构成了印度半咸水养殖的监管框架,在空间上应用于技术上合适的地点,以找到符合规定的地点。分析是使用矢量地理信息系统格式的图层进行的。该研究是在印度东海岸两个沿海州的一个沿海区块中进行的,即。奥里萨邦和泰米尔纳德邦。该研究确定了在奥里萨邦(Ersama 区块:86 公顷)和泰米尔纳德邦(Pattukottai 区块:343 公顷)的选定区块中适​​合半咸水养殖的区域。Ersama 和 Pattukottai 适合淡水养殖的面积分别为 4286 公顷和 6265 公顷,而各自区块适合淡水养殖的面积分别为 487 公顷和 2467 公顷。在可用于水产养殖的土地稀缺和管理它的严格法律的背景下,我们展示了大型 LULC 地图在确定适合淡水和半咸水水产养殖的地点方面的效用,
更新日期:2020-11-11
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