Land cover object change monitoring and environmental suitability confirmation in Cat Ba Biosphere Reserve of Vietnam

Author:

Hue Le Minh1,Thao Vu Thi Phuong2,Vy Nguyen Khanh3,Tra Dang Thu1,Nam Nguyen Ngoc1

Affiliation:

1. National Remote Sensing Department, Ministry of Natural Resources and Environment of Vietnam, Hanoi, Vietnam

2. Faculty of Environment, Hanoi University of Mining and Geology, Ministry of Education and Training of Vietnam, Hanoi, Vietnam

3. Hanoi Department of Education and Training, Chu Van An High School, Hanoi, Vietnam

Publisher

Informa UK Limited

Reference58 articles.

1. Monitoring Vegetation Cover Changes by Sentinel-1 Radar Images Using Random Forest Classification Method

2. Anh, T.V., D.K. Thanh, H.T. Khien, T.H. Hanh, L.T. Nghi, P.T.T. Hoa, N. Dung, L.H. Anh, and N.Q. Dinh. 2023. “Land Subsidence Susceptibility Mapping Using Machine Learning in the Google Earth Engine Platform.” In International Conference on Intelligence of Things, 55–64. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-46749-3_6.

3. Development of Back Propagation Neutral Network Model for Extracting the Feature from a Satellite Image Using Curvelet Transform;Apte K.S.;International Journal of Engineering Research and General Science,2015

4. Book Review : Discrete Multivariate Analysis: Theory and Practice

5. Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation

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