首页> 外文会议>Asian conference on remote sensing;ACRS >CHANGE DETECTION ANALYSIS WITH SPECIAL REFERENCE TO AQUACULTURE DEVELOPMENT IN WEST GODAVARI DELTA OF ANDHRA PRADESH, SOUTHERN INDIA USING GEOSPATIAL TECHNIQUES
【24h】

CHANGE DETECTION ANALYSIS WITH SPECIAL REFERENCE TO AQUACULTURE DEVELOPMENT IN WEST GODAVARI DELTA OF ANDHRA PRADESH, SOUTHERN INDIA USING GEOSPATIAL TECHNIQUES

机译:利用地理空间技术对印度南部安达拉河西部戈达瓦里三角洲水产养殖发展的变化检测分析,特别是

获取原文

摘要

Spatio-temporal studies on land use and land cover provide valuable information with regard to natural resources degradation and utilization. Geospatial techniques have widely been used in monitoring the land use and cover changes with special reference to aquaculture farming. The present study is aimed to assess the landscape changes occured in the delta region of West Godavari district, Andhra Pradesh state, South India using a series of multi-temporal satellite data over a period of two decades between 1996 and 2016. Changes were identified using Landsat-TM and OLI imageries and verified by field and other data. The change detection results were examined particulary in focusing the development and consequences of aquaculture within the study area. The accuracy of image classification has found to be more than 90%. The results showed that the agriculture land was enormously decreased to 213.2 sq km (year 2016) from 462.6 sq km in 1996 due to its rapid converstion into aquaponds. Established NDWI, MNDWI, NDMI, WRI indices were used to extract water cover from satellite data. MNDWI was found to be suitable for water feature extraction that produced better accuracy. The enormous growth of aquaculture led to the poor quality of soil and water, and crops deterioration in most of the regions of the study area. The study suggests that the integration of remote sensing and GIS was an effective approach for analyzing the land use and cover changes.
机译:土地利用和土地覆盖的时空研究提供了有关自然资源退化和利用的宝贵信息。地理空间技术已被广泛用于监测土地使用和覆盖变化,特别涉及水产养殖。本研究旨在使用1996年至2016年这20年间的一系列多时相卫星数据,评估南印度安得拉邦西戈达瓦里地区三角洲地区发生的景观变化。 Landsat-TM和OLI图像,并已通过野外和其他数据进行了验证。尤其在研究区域内重点研究了水产养殖的发展和后果方面,对变化检测结果进行了检查。发现图像分类的准确性超过90%。结果表明,由于农田快速转化为水族箱,农业用地从1996年的462.6平方公里大幅减少至213.2平方公里(2016年)。已建立的NDWI,MNDWI,NDMI,WRI指数用于从卫星数据中提取水覆盖率。发现MNDWI适用于产生更好精度的水特征提取。水产养殖的巨大增长导致了土壤和水质的下降,并且在研究区域的大多数地区农作物都退化了。研究表明,遥感与GIS的集成是分析土地利用和覆盖变化的有效方法。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号