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Object-based flood mapping and affected rice field estimation with landsat 8 OLI and MODIS data
Phuong D. Dao,
Yuei An Liou
太空及遙測研究中心
太空科學與工程學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
81
引文 斯高帕斯(Scopus)
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深入研究「Object-based flood mapping and affected rice field estimation with landsat 8 OLI and MODIS data」主題。共同形成了獨特的指紋。
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Keyphrases
Object-based
100%
Moderate Resolution Imaging Spectroradiometer (MODIS)
100%
Rice Field
100%
Flood Mapping
100%
Flood Affected
100%
Landsat 8 OLI
100%
Field Estimation
100%
Vegetation Index
66%
Mekong River
66%
Cambodia
66%
Image Segmentation
33%
Overall Accuracy
33%
Rice
33%
Local Government
33%
Landsat 8 Imagery
33%
Monsoon Season
33%
Rainwater
33%
Local Residents
33%
Classification Results
33%
South-East Asia
33%
Statistical Data
33%
High Mountains
33%
Riverbank
33%
Flood Mitigation
33%
Flood-prone
33%
Object-oriented Method
33%
Agricultural Production
33%
Fine Spatial Resolution
33%
Rice Classification
33%
Tonle Sap Lake
33%
Local Variance
33%
Optimal Scale
33%
Inundated Area
33%
Water Index
33%
Rice Paddy Field
33%
Plateau Mountain
33%
Lowland Floodplains
33%
Rice Ecosystem
33%
Scale Parameter Estimation
33%
Post-flooding
33%
Flood Damage Assessment
33%
Earth and Planetary Sciences
Landsat 8
100%
MODIS
100%
Paddy Field
100%
Cambodia
66%
Spatial Resolution
33%
Vegetation Index
33%
Southeast Asia
33%
Vegetation
33%
Flood Plain
33%
Statistical Data
33%
High Mountain
33%
Damage Assessment
33%
Parameter Estimation
33%
Agricultural Production
33%
Flood Damage
33%
River Bank
33%
Mountains
33%
Agricultural and Biological Sciences
Moderate Resolution Imaging Spectroradiometer
100%
Landsat
100%
Paddies
50%
Vegetation Index
50%
Lowlands
50%
Monsoon Season
50%
Sap
50%
Floodplains
50%
Mountains
50%