Canopy removal on satellite images using classification and contrast enhancement
- Title
- Canopy removal on satellite images using classification and contrast enhancement
- Creator
- Prabu M.
- Description
- The increasing the usage of satellite remote sensing for a civilian purpose has proved to be the most cost-effective mapping environmental changes with regard to natural resources, particularly in developing countries. Forests as one part of the wildlife of human societies in economic growth and permanency of natural resources in the countries of the world. But because of various details such as the growth of population, progressively varying forest to the other unfitting applications such as agriculture, providing energy and fuel, millions of hectares from the natural means are destroyed every year, and the remainder of the surface changes quantitatively and qualitatively. For better management of the forests, the evolution of forest area and rate of forest concentration should be examined. It is achievable that, there isnt any change in the field of the forest during the time, but the density of forest canopy is changed. Estimation of forest canopy cover has recently become an essential part of the forest. Therefore, the research study is to develop Forest Canopy Remover, which is used to get an accurate result of Forest and deforested area from the satellite earth images. It is used to calculate forest density using vegetation. Then, the changes in area and forest density during a particular period can be distinguished. 2020 IJSTR.
- Source
- International Journal of Scientific and Technology Research, Vol-9, No. 1, pp. 349-353.
- Date
- 2020-01-01
- Publisher
- International Journal of Scientific and Technology Research
- Subject
- Canopy removal; Data mining; Image Processing; Land use; Remote Sensing
- Coverage
- Prabu M., Department of Computer Science, CHRIST (Deemed to be University, Bangalore, 560029, India
- Rights
- Restricted Access
- Relation
- ISSN: 22778616
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Prabu M., “Canopy removal on satellite images using classification and contrast enhancement,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/16454.