Estimation of Deforestation Rate and Forest Land Use Land Cover Change Detection-Reference-Cited by-同舟云学术

Estimation of Deforestation Rate and Forest Land Use Land Cover Change Detection

Published:2023-01-05 Issue: Volume: Page:
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Container-title:2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)
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Author:

Kalaiyarasi M.¹,Saravanan S.²,R Balaji.²,Karthi S.³,Malleswara Rao D S Naga⁴,Venkata Sireesha D. Nagineni⁵

Affiliation:

1. Saveetha School of Engineering,SIMATS,Department of Computational Intelligence,Chennai

2. B V Raju Institute of Technology,Narsapur,Telangana,India

3. V.S.B. Engineering College,Department of Computer Science and Engineering,Karur

4. Gokaraju Rangaraju Institute of Engineering and Technology,Hyderabad,India

5. Institute of Aeronautical Engineering,Department of Information Technology,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10083319/10083505/10083928.pdf?arnumber=10083928

Reference11 articles.

1. Coastal forest cover change detection using satellite images and convolutional neural networks in Vietnam

2. Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery

3. A novel approach in monitoring land-cover change in the tropics: oil palm cultivation in the Niger Delta, Nigeria;stanley;Journal of the Geographical Society of Berlin,2016

4. Patterns and impacts of deforestation in Rondônia, Brazil

5. Science‐based planning can support law enforcement actions to curb deforestation in the Brazilian Amazon

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