A USGS Guide for Finding and Interpreting High-Water Marks No description available.

Disaster Risk Management No description available.

Echoes in Space: Introduction to Flood monitoring No description available.

EFAS Wiki In EFAS Wiki you will find some basic information on the European Flood Awareness System (EFAS). This includes: Brief overview of the model configuration, products and versions, as well as planned releases. Brief overview of its data archive and the best ways to access the data depending on your needs. If you have any further questions about the data you are welcome to contact us through

Experience with Earth Observation Tools for Flood Extent: Analysis of Five Regional Flooding Events Drawing on five analyses of regional flooding events, this document provides insight on the use of flood extent tools before, during, and after a crisis. Its purpose is to support flood managers and responders in understanding the use of tools and datasets in various circumstances, with attention to Earth observation-related (EO) tools, particularly. Members of EOTEC DevNet’s four regional flood working groups analyzed these five events: ● Central America: Hurricane-related (Eta and Iota) flooding, 2020 ● Chamoli district of Uttarakhand, India: Rockfall-triggered flood, 2021 ● Ebro River Basin, Spain: Heavy rainfall and snowmelt-triggered flooding, 2021 ● Malawi: Cyclone-related flooding (Ana and Gombe), 2022 ● Maluku Province (Ambon Island), Indonesia: Heavy rainfall-triggered flooding, 2022 Thanks to those who contributed to this synthesis: Vida Akyeampong (Africa community of practice) Sergio Camacho (Americas community of practice) João Fernandes (Europe community of practice) Jean Hounkpe (Africa community of practice) Fabiola Yépez (Americas community of practice task team lead)

Extracting flood information from SAR Includes fundamentals of SAR remote sensing, OpenSARlab, flood extent and depth mapping algorithms and hands-on exercises.

Flood Event Analysis: Ambon Island, Maluku Province (Indonesia) EOTEC DevNet Use Case Series: Experience with flood extent tools Flood Event Analysis: Ambon Island, Maluku Province (Indonesia) CONTRIBUTORS Rion Suaib Salman Indonesia Agency for Meteorology Climatology and Geophysics (BMKG). Ayufitriya State College of Meteorology Climatology and Geophysics (STMKG).

Flood Event Analysis: Chamoli (India) EOTEC DevNet Use Case Series: Experience with flood extent tools Flood Event Analysis: Chamoli (India) CONTRIBUTORS Pratima Pandey Indian Institute of Remote Sensing, IIRS/ISRO. Prakash Chauhan Indian Institute of Remote Sensing, IIRS/ISRO. C. M. Bhatt Indian Institute of Remote Sensing, IIRS/ISRO. Praveen K. Thakur Indian Institute of Remote Sensing, IIRS/ISRO. Suresh Kannaujia Indian Institute of Remote Sensing, IIRS/ISRO. Pankaj R. Dhote Indian Institute of Remote Sensing, IIRS/ISRO. Arijit Roy Indian Institute of Remote Sensing, IIRS/ISRO. Santosh Kumar Indian Institute of Seismological Research, Gandhinagar, India. Sumer Chopra Indian Institute of Seismological Research, Gandhinagar, India. Ashutosh Bhardwaj Indian Institute of Remote Sensing, IIRS/ISRO. S. P. Aggrawal - Indian Institute of Remote Sensing, IIRS/ISRO.

Flood Event Analysis: Cyclones Ana and Gombe (Malawi) EOTEC DevNet Use Case Series: Experience with flood extent tools Flood Event Analysis: Cyclones Ana and Gombe (Malawi) CONTRIBUTORS Calvince Wara - RCMRD, SERVIR Eastern and Southern Africa. Yobu Kachiwanda - Department of Climate Change and Meteorological Services (DCCMS), Malawi. James Wanjohi RCMRD, SERVIR Eastern and Southern Africa. Samuel Gama - Department of Disaster Management Affairs (DoDMA), Malawi. Angelica Gutierrez - National Oceanic and Atmospheric Administration (NOAA), USA Hasting Mbale - Department of Water Affairs (DoDMA), Malawi. Anastasia Wahome - RCMRD, SERVIR Eastern and Southern Africa. Ted Nyekanyeka - United Nation Development Programme (UNDP), Malawi Fedson Chikuse - Department of Disaster Management Affairs, Malawi. Cecilia Banda - Malawi Red Cross Society, Malawi.

Flood Event Analysis: Ebro River Basin (Spain) EOTEC DevNet Use Case Series: Experience with flood extent tools Flood Event Analysis: Ebro River Basin (Spain) CONTRIBUTORS José Ángel Losada García Ebro Hydrographic Confederation, GIS Services, Spain, jlosada@chebro.es. María Luisa Moreno Santaengracia Ebro Hydrographic Confederation, Hydrology and Riverbed Area, Spain, mlmoreno@chebro.es. Pablo Cabañas Martínez Civil Protection and Emergencies Service, Spain, pcabanam@navarra.es. João Nuno Fernandes Hydraulics and Environment Department, Portuguese National Laboratory for Civil Engineering, Portugal, jnfernandes@lnec.pt. Martyna A. Stelmaszczuk-Górska Department for Earth Observation, Friedrich Schiller University Jena, Germany, m.stelmas@uni-jena.de.

Flood Event Analysis: Hurricane-related flooding in Central America EOTEC DevNet Use Case Series: Experience with flood extent tools Flood Event Analysis: Hurricane-related flooding in Central America CONTRIBUTORS This analysis is based on the authors’ own experience in supporting the flood response. Lauren Carey, Natalia Bermúdez, Betzy Hernández, Emil Cherrington - SERVIR Science Coordinator office at NASA MSFC and University of Alabama in Huntsville. Lori Schultz -NASA Applied Sciences Disasters Program and NASA Marshall Space Flight Center. Ronan Lucey - University of Alabama in Huntsville and NASA Applied Sciences Disasters Program. Ricardo Quiroga - NASA Applied Sciences Disasters Program NASA and Science Systems & Applications, Inc. Eric Anderson - SERVIR Science Coordinator office at NASA MSFC and NASA Marshall Space Flight Center.

Flood Event Analysis: Mondego River Basin (Portugal) This use case analysis describes the flooding event that occurred after three consecutive extratropical cyclones (Daniel, Elsa, and Fabien), which affected Portugal - all in December 2019.

Flood Forecasting and Early Warning in Transboundary River Basins No description available.

Flood Monitoring with Sentinel-1 toolkit No description available.

Flood Monitoring with Sentinel-1 webinar No description available.

GloFAS Wiki In the GloFAS wiki you will find some basic information on the Global Flood Awareness System (GloFAS). This includes: Brief overview of the model configuration and version, as well as planned releases. Brief overview of its data archive and the best ways to access the data depending on your needs.

Google Flood Hub Presentation on Google Flood Hub by Moriah Royz to EOTEC DevNet regional working groups on flooding on April 19-20, 2023. Moriah Royz is a Senior Product Manager in Google Research, focusing on climate adaptation products such as Flood Forecasting and Wildfires detection, from the research and modeling stage up until this information reaches the affected communities, making sure the right people will receive the right information at the right time.

Hydrosphere An introduction This lesson introduces water as the key variable in the hydrosphere of the Earth. It gives insights into the distribution of water on Earth and the importance of the hydrologic cycle. The physical properties of water are described and linked to the properties of Radar Remote Sensing.

Hydrosphere Applications In this lesson measurement techniques for Wetlands, Water bodies, Floods, Precipitation & River Velocity are presented, giving a vast range of examples and explaining the underlying principles.

Monitoreo de Inundaciones Usando Radar de Apertura Sintética (1/2) No description available.

Monitoreo de Inundaciones Usando Radar de Apertura Sintética (2/2) No description available.

Monitoring Urban Floods Using Remote Sensing According to the UNDP, by 2050 two thirds of the world’s population is likely to live in cities. Urban flooding is already a major risk for cities. Increasing impervious surface area, inadequate storm water drainage, and aging infrastructure all contribute. As a result, growing urban populations will face a greater risk of flooding from extreme weather events. This webinar series will focus on the components of urban flooding that satellite data can track: • extreme precipitation • flooding • waterlogged and ponded surfaces Using satellite data allows individuals and organizations to develop better plans for handling floods. This can include developing better early warning techniques, better plans for rescue and relief, and more effective long-term infrastructure planning.

NASA Floods Data Pathfinder Contain direct links to commonly-used datasets, tutorials and how-tos with guidance on which dataset might be best or on resolutions (spatial and temporal).

NASA Floods Data Toolkit Contain links to datasets, tutorials and how-tos. There is not a lot of guidance on which dataset might be best or on resolutions and the like. There are just direct links to datasets

NASA Remote Sensing for Flood Monitoring and Management This webinar provides demonstrations and hands-on experience in using NASA remote sensing observations and flood mapping tools useful for flood management. Participants learn to access rainfall, streamflow, and surface inundation extent data for regional flood cases. In addition, participants learn to access digital elevation and terrain data, as well as socioeconomic data, to facilitate flood risk assessment and post-flood relief planning using a GIS framework.

NASA Remote Sensing Observations for Flood Management This training introduces remote sensing resources available for monitoring extreme precipitation and flooding, as well as flood mapping tools for flood management and planning.

NOAA LEO/GEO Flood Product Website Contains links to NRT flood mapping from VIIRS and ABI/AHI. Short overview of products contained on home page

Recommended Practice: Flood Hazard Assessment No description available.

Recommended Practice: Flood Hazard Mapping No description available.

Recommended Practice: Flood Mapping and Damage Assessment using Sentinel-1 SAR data in Google Earth Engine No description available.

Recommended Practice: Flood Mapping and Damage Assessment using Sentinel-2 (S2) Optical Data No description available.

Recommended Practice: Mudslides and Associated Flood Detection Using Sentinel-1 Data No description available.

Recommended Practice: Radar-based Flood Mapping No description available.

Recommended Practice: Use of Digital Elevation Data for Storm Surge Coastal Flood Modelling This Recommended Practice allows users to visualize the geographical extent of coastal flooding or sea level rise on local, regional or global scale.

Recommended Practice: Use of Digital Elevation Data for Storm Surge Coastal Flood Modelling No description available.

SAR for Flood Mapping No description available.

SAR para el Mapeo de Inundaciones Utilizando Google Earth Engine No description available.

Satellite Remote Sensing of Flood Monitoring and Management Monsoon rains can have an enormous impact in southern Asia. While the rains can help agriculture, it can also cause extreme flooding. Satellite data can augment decision-support for flood warnings, responses, relief, and mitigation activities. This two-day training covers access and use of satellite imagery and data to inform flood-related decisions. Attendees will learn to access and analyze data. This will allow attendees to track and map flooding, assess affected areas, and learn how they can integrate satellite data into their own decision-making processes.

UN SPIDER Knowledge Portal No description available.

Use of European Flood Awareness System No description available.

Using NASA Remote Sensing for Flood Monitoring and Management Remote sensing data can help professionals manage and monitor extreme weather conditions. In this training, participants will learn how to access and analyze available NASA data relevant to flood management. This includes data on precipitation, soil moisture, inundation mapping, and elevation modeling. Participants will learn to apply data for assessing flood risk, monitoring conditions, and planning relief. Each session will include a presentation followed by an opportunity to use the data and tools covered in the presentation.

Weather 101 - Flash Flood Safety No description available.