使用Sentinel-2影像搭配深度學習偵測紅樹林分佈

Keyphrases

1. Large Area Mapping 100%
2. Deep Regression Model 100%
3. Transformer 100%
4. Canopy Height 100%
5. Spectral-spatial Feature 100%
6. Mangrove 100%
7. Spectro-temporal 100%
8. Convolutional Long Short-term Memory (ConvLSTM) 100%
9. Sentinel-2 Data 100%
10. Sentinel-2 100%
11. Charlotte Harbor 50%
12. Everglades National Park 50%
13. State Parks 50%
14. Regression Model 50%
15. Root Mean Square Error 50%
16. Mean Absolute Error 50%
17. Canopy Height Model 25%
18. Canopy Height Mapping 25%
19. Carbon Biomass 25%
20. Carbon Stock 25%
21. Spatiotemporal Deep Learning 25%
22. Biomass Analysis 25%
23. Swin Transformer 25%
24. Convolutional Neural Network Regression 25%
25. Sentinel-1 Time Series 25%
26. Height Information 25%
27. Convolutional Block 25%
28. Regressor 25%
29. Hereafter 25%
30. Small Dataset 25%
31. Error Value 25%
32. Extractor 25%
33. Mangrove Forest 25%
34. Florida 25%
35. Remote Sensing Satellite Imagery 25%
36. Time Series Data 25%
37. Light Detection 25%
38. Stock Analysis 25%
39. Deep Learning Regression 25%

Earth and Planetary Sciences

1. Sentinel-2 100%
2. Sea Surface Temperature 100%
3. Root-Mean-Square Error 33%
4. National Parks 33%
5. Remote Sensing 16%
6. Florida 16%
7. Satellite Imagery 16%
8. Time Series 16%