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Detecting and prediting changes in mangrove forest in West and Central Africa using Landsat satellite data
Tran Thanh Dan,
Chi Farn Chen
,
Shou Hao Chiang
, Susumu Ogawa
太空及遙測研究中心
土木工程學系
客家語文暨社會科學學系
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Keyphrases
Mangrove
100%
Central Africa
100%
Mangrove Forest
100%
West Africa
100%
Landsat Satellite Data
100%
Mangrove Change
42%
Deforestation
28%
Mangrove Areas
28%
Landscape Modelling
28%
In Situ
14%
Planners
14%
Image Normalization
14%
Natural Disasters
14%
Image Classification
14%
Classification Approach
14%
Rehabilitation Program
14%
Classification Results
14%
Projected Changes
14%
Result Prediction
14%
Subtropical Region
14%
Spatiotemporal Distribution
14%
Spatiotemporal Variation
14%
Simulation Approach
14%
Socioeconomic
14%
Data Preprocessing
14%
Accuracy Assessment
14%
Tropical Region
14%
Change Detection Analysis
14%
Atmospheric Correction
14%
Landsat Data
14%
Mangrove Rehabilitation
14%
Sustainable Management
14%
Change Prediction
14%
Natural Resource Management
14%
Mangrove Ecosystem
14%
Supervised Classification
14%
Tropical Mangrove
14%
Mangrove System
14%
Probabilistic Simulation
14%
Earth and Planetary Sciences
Satellite Data
100%
Central Africa
100%
Western Africa
100%
Landsat Satellite
100%
Tropics
66%
Deforestation
66%
Landsat
33%
Preprocessing
33%
Image Classification
33%
Change Detection
33%
Atmospheric Correction
33%
Accuracy Assessment
33%
Management of Natural Resources
33%
Supervised Classification
33%
Landscape Modeling
33%