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*[[Land Use Classification Method of Remote Sensing Images for Urban and Rural Planning Monitoring Using Deep Learning]] | *[[Land Use Classification Method of Remote Sensing Images for Urban and Rural Planning Monitoring Using Deep Learning]] | ||
| - | *[[ | + | *[[Remote sensing indicators to assess riparian vegetation and river ecosystem health.]] |
*[[Investigating the succession process of native desert plants over hydrocarbon-contaminated soils using remote sensing techniques]] | *[[Investigating the succession process of native desert plants over hydrocarbon-contaminated soils using remote sensing techniques]] | ||
*[[Soil copper concentration map in mining area generated from AHSI remote sensing imagery]] | *[[Soil copper concentration map in mining area generated from AHSI remote sensing imagery]] | ||
Παρούσα αναθεώρηση της 19:43, 14 Μαρτίου 2023
- Land Use Classification Method of Remote Sensing Images for Urban and Rural Planning Monitoring Using Deep Learning
- Remote sensing indicators to assess riparian vegetation and river ecosystem health.
- Investigating the succession process of native desert plants over hydrocarbon-contaminated soils using remote sensing techniques
- Soil copper concentration map in mining area generated from AHSI remote sensing imagery
- Research on remote sensing image carbon emission monitoring based on deep learning
- Vegetation information extraction in karst area based on UAV remote sensing in visible light band
- Remote sensing of air pollution due to forest fires and dust storm over Balochistan (Pakistan)
- Assessment of total evaporation rates and its surface distribution by tridimensional modelling and remote sensing.
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