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Keyphrases
Portugal
62%
Sentinel-2 Data
60%
Land Cover Mapping
54%
Sentinel-2
36%
Central Portugal
29%
Forest Loss
29%
Continuous Change Detection
27%
Change Classification
20%
Overall Accuracy
17%
Remote Sensing
17%
Accuracy Assessment
17%
Random Forest
17%
Land Cover Monitoring
16%
Classification Accuracy
14%
Change Detection
14%
Training Data
14%
Land Cover Classification
13%
Satellite Data
11%
Classification Performance
11%
Earth Observation
11%
Sentinel-2 Images
11%
Land Cover Classes
11%
Solo
10%
Posters
10%
Crop Recovery
10%
Crop Damage Assessment
10%
Recovery Assessment
10%
Annual Crops
10%
Land Use Land Cover Map
10%
Nigeria
10%
Multi-source
10%
Participatory Mapping
10%
Shrubland
10%
F1 Score
10%
Map Updating
9%
Cartas
9%
Omission Error
8%
Land Parcel Identification System
8%
Training Samples
8%
Dense Time Series
8%
Semi-supervised Classification
8%
Map Production
8%
Land Cover
8%
Satellite Images
8%
Commission Errors
8%
Training Sample Size
7%
Fuel Management
7%
Forest Area
7%
Aboveground Biomass
7%
Land Use Land Cover
7%
Earth and Planetary Sciences
Portugal
100%
Sentinel-2
97%
Land Cover
74%
Change Detection
42%
Time Series
33%
Land Cover Map
27%
Land Use
26%
Vegetation
24%
Satellite Image
23%
Remote Sensing
21%
Accuracy Assessment
18%
Synthetic Aperture Radar
15%
Satellite Data
12%
Supervised Classification
11%
System Identification
10%
Crop Damage
10%
Nigeria
10%
Deforestation
10%
Regional Geography
10%
Europe
9%
Image Classification
9%
Supervised Image Classification
7%
Orthophoto
7%
Aboveground Biomass
7%
Landsat 8
6%
Remote Sensing Image
6%
Machine Learning
6%
Normalized Difference Vegetation Index
6%
Automatic Detection
5%
Xgboost
5%
European Space Agency
5%
Ground Cover
5%
Tropical Forest
5%
Image Processing
5%
Information Retrieval
5%
Ecosystem Dynamics
5%
Food Security
5%
Land Cover Change
5%
Entropy
5%
