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- 2024
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Mark
Dust source susceptibility in the lower Mesopotamian floodplain of Iraq
- Contribution to journal › Article
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Mark
Space Technology and Supply Chain Sustainability: Satellite-Based Due Diligence and the EU Deforestation Regulation
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Landscape context and wetland attributes influence wintering waterbirds in important bird and biodiversity areas : implications for conservation and management
- Contribution to journal › Article
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Mark
Estimation of district-level spring barley yield in southern Sweden using multi-source satellite data and random forest approach
- Contribution to journal › Article
-
Mark
Optimizing Remote Sensing Data and Light Use Efficiency Model for Accurate Gross Primary Production Estimation in African Rangelands
(2024) 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 In International Geoscience and Remote Sensing Symposium (IGARSS) p.4289-4293
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Remotely Sensed Herbaceous Rangelands Biomass from African Rangelands : Validation and Uncertainties
(2024) 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 In International Geoscience and Remote Sensing Symposium (IGARSS) p.4986-4990
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Remote Sensing Aircraft Target Detection Algorithm Based on Improved YOLOv5s
(2024) 5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024 In 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024 p.681-686
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Coherent Backscattering from Free-Flying Insects : Implications for Remote Species Identification
(2024)
- Thesis › Doctoral thesis (compilation)
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Mark
Improving hydrological modelling in cold regions using satellite remote sensing and machine learning techniques
(2024)
- Thesis › Doctoral thesis (compilation)
-
Mark
Unveiling the drivers of atmospheric methane variability in Iran : A 20-year exploration using spatiotemporal modeling and machine learning
- Contribution to journal › Article
