基于卫星数据的贾坎德邦Ranchi地区水体时空分析:Jal Shakti Abhiyan的输入

N. Sharma, N. J. Kullu, Kumari Anshula
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引用次数: 0

摘要

为了保护水资源,印度政府发起了Jal Shakti Abhiyan项目,该项目需要对水体进行清查,以便进一步规划和监测。使用高分辨率卫星数据,以1:50 000比例尺绘制了Ranchi地区2005年和2018年的湖泊和池塘,并使用中分辨率卫星数据绘制了1:50 000比例尺的水库。利用季风前和季风后的卫星资料估算了水库水量的季节波动。2005年和2018年在兰契地区绘制的湖泊和池塘总数分别为2170和2556。2005年和2018年,兰契区湖泊和池塘下总面积分别为1425 ha和1618 ha,占总地理面积的0.29%和0.32%。在2006-07年和2018-19年,兰契地区分别测绘了19个和20个水库。2007年和2019年季风前季节,兰契地区水库类别记录的面积分别为2854公顷和2829公顷。在季风季节后,2007年和2018年,水库占用的面积分别为3428公顷和3352公顷。有人建议利用季节卫星数据以1:50 /1000比例尺对湖泊和池塘进行大比例尺测绘,以便编制清单和估计湖泊和池塘数量和面积在季风前和季风后的变化。在目前城市化、环境退化和气候变化的情况下,本研究产生的地图和统计数据对水体的规划、监测和管理是有用的。关键词:高分辨率数据,城市化,季风前,季风后,湖泊和池塘
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal Analysis of Waterbodies in Ranchi District, Jharkhand using Satellite Data: An Input for Jal Shakti Abhiyan
Keeping in the view of water conservation the Government of India has initiated the Jal Shakti Abhiyan, which needs the inventory of waterbodies for further planning and monitoring. Lakes and Ponds in year 2005 and year 2018 were mapped in Ranchi district at 1:5000 scale using high resolution satellite data and reservoirs at 1:50,000 scale using moderate resolution satellite data. Seasonal fluctuation in water extent of reservoirs was estimated using Pre- monsoon and post-monsoon satellite data. Total number of lakes and ponds mapped in Ranchi district in year 2005 and year 2018 were 2170 and 2556, respectively. Total area under lakes and ponds was 1425 ha and 1618 ha, respectively in year 2005 and year 2018, which was 0.29% and 0.32% of total geographical area of Ranchi district. A total of 19 and 20 reservoirs mapped in Ranchi district in year 2006-07 and year 2018-19, respectively. Area recorded under reservoir category in Ranchi district was 2854 ha and 2829 ha in pre-monsoon season in the year 2007 and 2019, respectively. In Post-monsoon season the area occupied by reservoirs was 3428 ha and 3352 ha in Year 2007 and 2018, respectively. It has been suggested to undertake large scale mapping of lakes and ponds at 1:500/1000 scale using seasonal satellite data for preparation of inventory and estimation of pre and post-monsoon variation in number and area of lakes and ponds. Maps and statistics generated in present study are useful for planning, monitoring and management of waterbodies in present scenario of urbanization, environmental degradation and climate change. Keywords: High resolution data, urbanization, pre-monsoon, post-monsoon, lakes and ponds
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