A

Ahangarha, M.

• Employing Transfer Learning in Land-use Land-cover for Risk Management, pages 1–7

Alikhani, M.

• Efficient Flood Detection through Hybrid Machine Learning and Metaheuristic Methods using Sentinel-1, pages 35–43
• Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires), pages 45–53

Attarzadeh, R.

• Efficient Flood Detection through Hybrid Machine Learning and Metaheuristic Methods using Sentinel-1, pages 35–43
• Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires), pages 45–53

B

Barton, J.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

Berger, R.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

Bias, E. S.

• Lessonia-1 SAR time-series for identifying flooded areas, pages 55–62

Bock, M.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

Brauchle, J.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

C

Canbulat, I.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

Costa, F. A. L.

• Lessonia-1 SAR Project for Improving the Disaster Management in Brazil, pages 21–26
• Lessonia-1 SAR time-series for identifying flooded areas, pages 55–62

E

Ebadati, B.

• Efficient Flood Detection through Hybrid Machine Learning and Metaheuristic Methods using Sentinel-1, pages 35–43
• Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires), pages 45–53

G

Geßner, M.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

Gonschorek, J.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

Gotelip, M. R.

• Lessonia-1 SAR Project for Improving the Disaster Management in Brazil, pages 21–26

Guo, R.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

H

Hanafi-Bojd, A. A.

• Identification of Aquatic Habitats of Anopheles Mosquito Using Time-series Analysis of Sentinel-1 data through Google Earth Engine, pages 63–68

Hassanpour, G.

• Identification of Aquatic Habitats of Anopheles Mosquito Using Time-series Analysis of Sentinel-1 data through Google Earth Engine, pages 63–68

Hein, D.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

I

Ichikawa, R.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

K

Kohtake, N.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

Kraft, T.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

L

Lesmeister, M.

• Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake, pages 15–19

Li, J.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

Lima, S. A.

• Lessonia-1 SAR time-series for identifying flooded areas, pages 55–62

N

Nishino, A.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

P

Pirasteh, S.

• Efficient Flood Detection through Hybrid Machine Learning and Metaheuristic Methods using Sentinel-1, pages 35–43
• Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires), pages 45–53

R

Rezvan, H.

• Employing Transfer Learning in Land-use Land-cover for Risk Management, pages 1–7
• Identification of Aquatic Habitats of Anopheles Mosquito Using Time-series Analysis of Sentinel-1 data through Google Earth Engine, pages 63–68

Rocha, F. H. F.

• Lessonia-1 SAR Project for Improving the Disaster Management in Brazil, pages 21–26

S

Sano, E. E.

• Lessonia-1 SAR time-series for identifying flooded areas, pages 55–62

Shimada, M.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

da Silveira, J. V. M.

• Leveraging Python for data modeling, visualization and remote sensing of fire hotspots in the Amazon: a case study of Santana do Araguaia, Brazil, pages 27–33

V

Valadan Zoej, M. J.

• Employing Transfer Learning in Land-use Land-cover for Risk Management, pages 1–7
• Identification of Aquatic Habitats of Anopheles Mosquito Using Time-series Analysis of Sentinel-1 data through Google Earth Engine, pages 63–68

W

Westrin, H.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14

Y

Youssefi, F.

• Employing Transfer Learning in Land-use Land-cover for Risk Management, pages 1–7
• Efficient Flood Detection through Hybrid Machine Learning and Metaheuristic Methods using Sentinel-1, pages 35–43
• Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires), pages 45–53
• Identification of Aquatic Habitats of Anopheles Mosquito Using Time-series Analysis of Sentinel-1 data through Google Earth Engine, pages 63–68

Z

Zlatanova, S.

• Near-realtime Location Specific Messaging During Extreme Bushfire Events, pages 9–14