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26991 |
Mapping of Debris-Covered Glaciers Using Object-Based Machine Learning Technique
Enthalten in Indian Society of Remote Sensing: Journal of the Indian Society of Remote Sensing Bd. 52, 24.2.2024, Nr. 2, date:2.2024: 399-411
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26992 |
Mapping of high-resolution daily particulate matter (PM2.5) concentration at the city level through a machine learning-based downscaling approach
Enthalten in Environmental monitoring and assessment Bd. 197, 23.12.2024, Nr. 1, date:1.2025: 1-22
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26993 |
Mapping of soil suitability for medicinal plants using machine learning methods
Enthalten in Scientific reports Bd. 14, 14.2.2024, Nr. 1, date:12.2024: 1-16
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26994 |
Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning
Enthalten in Environmental monitoring and assessment Bd. 196, 31.8.2024, Nr. 9, date:9.2024: 1-20
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26995 |
MAPPING POVERTY IN THE PHILIPPINES USING MACHINE LEARNING, SATELLITE IMAGERY, AND CROWD-SOURCED GEOSPATIAL INFORMATION
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-4/W19, 2019: 425-431
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26996 |
Mapping Rice Paddy Areas in Nueva Ecija Using Temporal Sentinel -1 SAR Imagery
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-5-2024, 2024: 41-48. 8 S.
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26997 |
Mapping shoreline change using machine learning: a case study from the eastern Indian coast
Enthalten in Acta geophysica Bd. 68, 30.6.2020, Nr. 4, date:8.2020: 1127-1143
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26998 |
Mapping Soil Erosion Classes using Remote Sensing Data and Ensemble Models
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W12-2024, 2024: 135-142. 8 S.
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26999 |
Mapping surface soil organic carbon density of cultivated land using machine learning in Zhengzhou
Enthalten in Environmental geochemistry and health Bd. 47, 28.11.2024, Nr. 1, date:1.2025: 1-19
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27000 |
Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods
Enthalten in Health and quality of life outcomes Bd. 23, 1.7.2025, Nr. 1, date:12.2025: 1-12
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