A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Land Vegetation Change Detection Using Remote Sensing and GIS
The study of vegetation cover change is one of the foremost arenas to understand the degree of interaction between man and environment. Changes in land vegetation cover affect biodiversity, water and other processes that come together to affect climate and biosphere. The study is done using remote sensing and GIS technique. The aim of this study is to detect vegetation cover change between 2003 and 2018 of Roorkee city region using Landsat image data. Vegetation changes have been detected by classification technique like unsupervised classification of both the images of year 2003 and 2018 using ERDAS Imagine 9.3. By monitoring of vegetation change, we can get the effects in biodiversity, water and other processes that come together to affect climate and biosphere the national development. The 15-year time period between 2003 and 2018 shows that a major change of vegetation cover change in the study area. The change in vegetation area observed in the duration of 15 years is 108.61 square.
Land Vegetation Change Detection Using Remote Sensing and GIS
The study of vegetation cover change is one of the foremost arenas to understand the degree of interaction between man and environment. Changes in land vegetation cover affect biodiversity, water and other processes that come together to affect climate and biosphere. The study is done using remote sensing and GIS technique. The aim of this study is to detect vegetation cover change between 2003 and 2018 of Roorkee city region using Landsat image data. Vegetation changes have been detected by classification technique like unsupervised classification of both the images of year 2003 and 2018 using ERDAS Imagine 9.3. By monitoring of vegetation change, we can get the effects in biodiversity, water and other processes that come together to affect climate and biosphere the national development. The 15-year time period between 2003 and 2018 shows that a major change of vegetation cover change in the study area. The change in vegetation area observed in the duration of 15 years is 108.61 square.
Land Vegetation Change Detection Using Remote Sensing and GIS
Lecture Notes in Civil Engineering
Gupta, Laxmikant Madanmanohar (editor) / Ray, Maya Rajnarayan (editor) / Labhasetwar, Pawan Kumar (editor) / Aarfin, Samshul (author) / Prakash, Rishi (author) / Mishra, Nitin (author)
2020-11-14
10 pages
Article/Chapter (Book)
Electronic Resource
English
Unsupervised classification , Vegetation change GIS , Remote sensing Engineering , Transportation Technology and Traffic Engineering , Building Materials , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Sustainable Architecture/Green Buildings , Landscape/Regional and Urban Planning , Water Quality/Water Pollution
Land Vegetation Change Detection Using Remote Sensing and GIS
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