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Multi-temporal image analysis for LULC classification and change detection
European Journal of Remote Sensing ( IF 3.7 ) Pub Date : 2020-06-04 , DOI: 10.1080/22797254.2020.1771215
GN Vivekananda 1 , R Swathi 2 , AVLN Sujith 3
Affiliation  

ABSTRACT

Land use/Land cover (LULC) plays a vital role in planning and supervising the utilization of the natural resources based on the gradual increase in the human demands in the current ecosystem. This study mainly focuses on the usage of the geographic information system (GIS) and land usage to identify the changes in Ananthapuramu, which is located in the Ananthapur district of Andhra Pradesh (AP) state, South India. This paper mainly focuses on the classification and identification of the changes in LULC in the period of 1999–2019 based on a survey of India’s topographic map and temporal images gathered from the satellite. The experimental results indicate that over the specified period of study, the rate of increment and decrement in the built-up area, rate of underwater bodies, forest bodies that may demonstrate a significant impact on the environmental ecosystem.



中文翻译:

用于 LULC 分类和变化检测的多时相图像分析

摘要

基于当前生态系统中人类需求的逐渐增加,土地利用/土地覆盖 (LULC) 在规划和监督自然资源的利用方面发挥着至关重要的作用。本研究主要侧重于使用地理信息系统 (GIS) 和土地使用来识别位于印度南部安得拉邦 (AP) 邦 Ananthapur 区的 Ananthapuramu 的变化。本文主要基于对印度地形图和卫星时空图像的调查,对1999-2019年期间LULC变化的分类识别。实验结果表明,在规定的研究期内,建成区的增减率、水下生物体的增减率、

更新日期:2020-06-04
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