All Stories

  1. Towards Accurate Flood Mapping in Arid Regions: Sentinel-1 SAR-based insights and explainable machine learning. 
  2. Flood Mapping Using Combined Sentinel-1 Amplitude and Interferometric Coherence
  3. Unlocking the full potential of Sentinel-1 for flood detection in arid regions
  4. Sustainability Nexus AID: landslides and land subsidence
  5. Automatic Flood Detection from Sentinel-1 Data Using a Nested UNet Model and a NASA Benchmark Dataset
  6. Monitoring and Understanding Land Subsidence in Joshimath: An InSAR and Ground-based Study
  7. Improving SAR-based flood detection in arid regions using texture features
  8. AUTOMATIC FLOOD DETECTION FROM SENTINEL-1 DATA USING DEEP LEARNING ARCHITECTURES
  9. Assessment of Land Subsidence Hazard, Vulnerability and Risk: A case study for National Capital Region in India
  10. Comparative analysis of  the role of labelled benchmark datasets for automatic flood mapping using SAR data 
  11. Deep learning, remote sensing and visual analytics to support automatic flood detection
  12. Land Subsidence in National Capital Region (NCR) Delhi, India due to overextraction of groundwater
  13. Combined Effect of Mining, Subsidence and Coal Fires in Jharkhand, India Investigated using Satellite Remote Sensing and Data Fusion
  14. Automatic flood detection from Sentinel-1 data using Deep learning: Demonstration of NASA-ETCI Benchmark datasets.
  15. Sentimental Analysis, Technology and Application
  16. Multi-sensor remote sensing analysis of coal fire induced land subsidence in Jharia Coalfields, Jharkhand, India
  17. Risk of Ground Movement in Faridabad, India – Investigated using Remote Sensing and In-Situ Data
  18. The Risk of Coal Fires And Land Subsidence in Jharia Coalfields, India, Analysed Using Remote Sensing Techniques
  19. Land Subsidence in Delhi, India investigated using Sentinel-1 InSAR measurements