The Mitigation Planning Portal (MPP) is an online platform for tracking and reporting mitigation plans and related data elements across all ten Federal Emergency Management Agency (FEMA) Regions. rnrnDataset is used to identify mitigation plans across states and regions.rnrnDatapoints include links to mitigation plans for each state (a separate excel file of state links is held on local drive).

This story map highlights what the Nebraska Silver Jackets Team has created: an interactive web map that showcases past and ongoing flood mitigation projects across the state. The goal of the map is to create an online location where communities can learn what mitigation projects have been funded, the different grants available, and the array of possible funding partners for all kinds of mitigation projects. The story map includes background information about flood mitigation and describes the data collection process. There is also a how to guide for using the interactive map with widget icons and their descriptions. There is other valuable information including FEMA videos and ways to submit mitigation projects the initial data gathering process may have missed.

Nebraska Department of Natural Resources (NeDNR) Floodplain Section maintains a partnership with the US Army Corps of Engineers' Silver Jackets program. As part of this program, NeDNR collaborates with various federal, state, and local agencies to solve flood risk issues and promote mitigation of floods. One mission of reducing flood risk is to leverage resources and information from all agencies, and publish and promote them in a single place, increasing access, usability, and impact.This application contains flood mitigation projects implemented by various agencies, and related information. This information can be used to describe potential mitigation projects that a community could perform, and what agencies and funding levels are available to assist in accomplishing those projects.

This collection of story maps includes An Introduction to FEMA Coastal Floodplain Mapping which explains coastal hazards, identifies common features of flood maps for coastal areas and shows how to determine the flood zone and flood elevation for coastal properties using flood maps. This is a tutorial on how coastal risks are shown on Flood Insurance Rate Maps (FIRMs), or flood maps. It helps you better understand how to read and use flood maps in coastal communities.Thinking Beyond Flood Maps: Using FEMA Coastal Data to Reduce Risk and Build Resilience In the United States, 7 of the 10 most expensive disasters were caused by coastal storms. However, coastal communities are using flood risk data in powerful ways to build resilience. Communities can learn how to use data and products developed during FEMA coastal flood risk studies to make resilient decisions. Through case studies, communities can see how diverse places from across the country have used these resources to reduce their risk.FEMA Flood Risk Products Flooding is the costliest and most common natural disaster in the United States. Local leaders and decision makers can face tough choices in prioritizing which mitigation steps best help communities withstand major floods. Most communities are familiar with using Flood Insurance Rate Maps (FIRMs), or flood maps, to guide sound floodplain management decisions. FEMA also created Flood Risk Products to be used with the required flood maps. Flood Risk Products are nonregulatory, ready-made sources that provide more extensive, user-friendly flood hazard information. They include the Flood Risk Database, Flood Risk Map and Flood Risk Report.Lycoming County, Pennsylvania: Using FEMA's Flood Risk Products to Improve Community Resilience This case study highlights how local community leaders explained what the new flood maps meant for the community. It also addressed concerns about what changes in flood risks meant for local homeowners and businesses and to the community’s long-term economic and social resiliency. Community leaders were able to use Flood Risk Products to identify areas at the highest risk for flooding to prioritize mitigation actions. In addition, community leaders used Flood Risk Products to develop communications about flood risks to residents and businesses. Mitigation Planning Stories The Mitigation Planning Program helps communities prevent the natural disaster impacts by providing training, tools and resources to help them plan for and reduce risk. This story map shares success stories for mitigation plans that go above and beyond the minimum planning requirements. Other communities can duplicate these successes to build resilience and reduce disaster losses. If you have a success story worth sharing, email the Mitigation Planning Program.StoryMaps and Apps from our Cooperating Technical Partners Recognition Program FEMA launched the Cooperating Technical Partners Recognition Program in 2017 to recognize participating partners who demonstrate flood mapping program proficiency and best practices in management, technology, innovation, mapping and/or communications. Nominations are reviewed by hundreds of industry peers who award recipients first place and honorable mention. As a result of receiving this recognition, FEMA works with the recipient to create a story map about their award-winning efforts.Learn More About Flood Risks Products: Risk MAP Products | FEMA.gov

New York City’s comprehensive effort to reduce or eliminate potential losses from the hazards described in the Hazard Specific section of the website. The map includes existing and completed mitigation actions that will minimize the effects of a hazard event on New York City’s population, economy, property, building stock, and infrastructure. It is the result of a coordinated effort by 46 New York City agencies and partners to develop and implement a broad range of inventive and effective ways to mitigate hazards. Point, line, polygon features and a table for the Mitigation Actions map on the Hazard Mitigation website: www.nychazardmitigation.com/all-hazards/mitigation/actions-map/ This table contains more information on each project: https://data.cityofnewyork.us/City-Government/Hazard-Mitigation-Plan-Mitigation-Actions-Database/veqt-eu3t

This is a story map about rainfall flooding and mitigation strategies in the city of Hoboken.

This is a tool that plots sites damaged/included in Presidential Disaster Declarations. The data includes Public Assistance and Hazard Mitigation Assistance (HMA) sites from 1993 to present. By clicking on a plotted point the tool will display Disaster Year, Disaster #, Project #, Applicant Name, number of sites related to the project, Latitude, Longitude, Project Title, Location (physical address of applicant), County, Project Status, Project $ Amount, and Project Federal $ Amount. There are a number of search and filter capabilities. This information will aid in more thorough planning and judicious investment in infrastructure. It will allow a visual snapshot of areas vulnerable to damages and help elected officials determine the most efficient use of infrastructure investments.

Constraints:
Not to be used for navigation, for informational purposes only. See full disclaimer for more information

A map used in the Mitigation Plan Feedback Manager app.

We used ML random forest classification to update and harmonize the existing fragmented flood hazard maps of the Ottawa River and fill in the spatial gaps between them in the Capital region of Canada.

Local Mitigation Strategies (LMS) data is published as an ArcGIS Online hosted Feature Layer created from WebEOC LMS Board and is updating every minute. The Dashboard is designed to present all Miami-Dade County Local Mitigation Projects. These data are published by Miami-Dade County, Municipalities, Universities and other Agencies.For additional information go to Projects That ProtectContact: Soheila.Ajabshir@miamidade.gov or GISNotification@miamidade.gov

This map is a representation of each depth layers in the Surface Ponding map from the 2014 Flood Mitigation Study.

This map representation was created as a result of a 2013 to 2016 study done for the Edmonton area to determine the vulnerable areas of Edmonton in regards to a 1 in 100 year rainfall event.

Due to the constant changing of subsurface infrastructure (adding, upgrading, etc.) combined with the constant changing definition of a 1 in 100 year rainfall event (based on historic rainfall amounts), this raster file reflects the results of a study done in 2016 and should neither suggest previous year’s vulnerabilities nor future year’s vulnerabilities.

There are four different colours to show the depth of water that might pool on the ground during a large rainstorm.

Those colours are:

Green (representing a ponding depth from 0.00 - 0.35 m) Yellow (representing a ponding depth from 0.35 - 0.50 m) Orange (representing a ponding depth from 0.50 to 0.75 m) Red (representing a ponding depth greater than 0.75 m)

For a more information regarding the Flood Risk Maps and the City’s proactive strategy see : https://www.edmonton.ca/city_government/documents/RoadsTraffic/City-wide_Flood_Mitigation_Study.pdf

This dataset is based on 2014 information and will not be updated further. The model is based on a theoretical, worst-case scenario storm that has never occurred in the Edmonton area.

Model Accuracy:

For Areas west and central Digital Elevation Model was used from 2004. For the rest of the areas Bare Earth LiDar data was used. The surface data used was set to a horizontal resolution of 2.5 meters with a grid cell of 5m by 5m. This puts the vertical resolution at an accuracy of 0.1 meters.

This is a spline fit interpolations model. This is a 1D-1D model with 2D interpolations.The accuracy of the information provided in these data sets is plus or minus 10 cm vertically, and 10 cm horizontally.

The 100 year flood was based on the 2015 Edmonton 4 year Chicago storm event over 20 plus neighbourhoods. The data is a collection of the worst case scenario of model runs.
This is a common practice for Edmonton drainage models. These models are high level concept and projects determined from this data set will undergo finer, more detailed modeling.

Disclaimer: No Warranty with Flood Risk Maps. Your use of the flood risk maps is solely at your own risk, and you are fully responsible for any consequences arising from your use of the flood risk maps. The flood risk maps are provided on an “as is” and “as available” basis, and you agree to use them solely at your own risk. There are no warranties, expressed or implied in respect to the flood risk maps or your use of them, including without limitation, implied warranties and conditions of merchantability and fitness for any particular purpose. Please note that the flood risk maps have been modified from their original source, and that all data visualization on maps are approximate and include only records that can be mapped.

Geo Coordinate System: WGS84

The Building Resilient Infrastructure and Communities and Flood Mitigation Assistance Obligations Dashboard uses publicly available data from OpenFEMA enable users to explore information about Building Resilient Infrastructure and Communities and Flood Mitigation Assistance subapplications in their area. The dashboard includes four different options for viewing subapplications data from these two programs from Fiscal Year 2020 – Present: Nationwide - subapplications and obligations at the national level. State/Territory - subapplications and obligations specific to states and territories. County - subapplications and obligations specific to the thousands of counties and county-equivalents (parishes, municipalities, etc.). Tribal-Specific - subapplications and obligations for Tribal Nations. There are also five layers not related to obligations in the map, which are listed below. By overlaying the Building Resilient Infrastructure and Communities and Flood Mitigation Assistance obligations data and these three layers, users can compare Building Resilient Infrastructure and Communities and Flood Mitigation Assistance obligations to population characteristics. Building Resilient Infrastructure and Communities Direct Technical Assistance Communities FEMA Community Disaster Resilience Zones Climate and Economic Justice Screening Tool Underserved Communities - census tracts National Risk Index - counties United States of America 2020 Census Population Characteristics. Description from: https://fema.maps.arcgis.com/home/item.html?id=be0e9beb017048439ff5406e76157be5 on July 1, 2025.

This data set is of service areas for mitigation and conservation banks for which the California Department of Fish and Wildlife is a signatory. It does not include service areas for banks which are approved only Federally or for credits for species for which the Department does not require mitigation. All data, including boundaries and species covered and should be verified with the bank sponsor prior to making any decisions based on this data set. The contact information for the bank sponsor can be found at https://wildlife.ca.gov/conservation/planning/banking/approved-banks. Please look at the "Comment" field for important information regarding individual Service Area limitations. A Conservation or Mitigation Bank is privately or publicly owned land managed for its natural resource values. In exchange for permanently protecting, managing, and monitoring the land, the bank sponsor is allowed to sell or transfer habitat credits to perrmitees who need to satisfy legal requirements and compensate for the environmental impacts of developmental projects.Conservation (Endangered Species) BankingA conservation bank generally protects threatened and endangered species and habitat. Credits are established for the specific sensitive species that occur on the site. Conservation banks help to consolidate small, fragmented sensitive species compensation projects into large contiguous preserves which have much higher wildlife habitat values. Other agencies that typically participate in the regulation and approval of conservation banks are the U.S. Fish and Wildlife Service and National Oceanic and Atmospheric Administration-National Marine Fisheries Service.Mitigation (Wetlands) BankingA mitigation bank protects, restores, creates, and enhances wetland habitats. Credits are established to compensate for unavoidable wetland losses. Use of mitigation bank credits must occur in advance of development, when the compensation cannot be achieved at the development site or would not be as environmentally beneficial. Mitigation banking helps to consolidate small, fragmented wetland mitigation projects into large contiguous preserves which will have much higher wildlife habitat values. Mitigation banks are generally approved by the California Department of Fish and Wildlife, U.S. Fish and Wildlife Service, the U.S. Army Corps of Engineers, and the U.S. Environmental Protection Agency.

This map is a representation of each depth layers in the Surface Surcharge map from the 2014 Flood Mitigation Study.

This spatial data was created as a result of a 2016 study, using 2014 data, done for the Edmonton area to determine the vulnerable drainage and sewage areas of Edmonton in regards to a 1 in 100 year rainfall event.

Due to the constant changing of subsurface infrastructure (adding, upgrading, etc.) combined with the constant changing definition of a 1 in 100 year rainfall event (based on historic rainfall amounts), this raster file reflects the results of a study done in 2016 and should neither suggest previous year’s vulnerabilities nor future year’s vulnerabilities.

For a more regional Edmonton area breakdown of the Study’s results:

https://www.edmonton.ca/city_government/documents/RoadsTraffic/City-wide_Flood_Mitigation_Study.pdf

There are three different colour to the vulnerability of the roadways and the corresponding ponding depth that would occur for that area during a large rainstorm.

Those colours are:

Green (representing the depth from surface that sanitary flows can surcharge from less than 2.5 m) Yellow (representing the depth from surface that sanitary flows can surcharge from 1.5 to 2.5 m) Red (representing the depth from surface that sanitary flows can surcharge from greater than 1.5 m)

This Raster file is best viewed overlaid with the 2016 Flood Mitigation Study - Drainage and Sanitation Surcharge Map; as the various coloured areas follow the subsurface infrastructure (and the corresponding roadways if you are also viewing the street map as a layer).

Disclaimer: No Warranty with Flood Risk Maps. Your use of the flood risk maps is solely at your own risk, and you are fully responsible for any consequences arising from your use of the flood risk maps. The flood risk maps are provided on an “as is” and “as available” basis, and you agree to use them solely at your own risk. There are no warranties, expressed or implied in respect to the flood risk maps or your use of them, including without limitation, implied warranties and conditions of merchantability and fitness for any particular purpose.

Please note that the flood risk maps have been modified from their original source, and that all data visualization on maps are approximate and include only records that can be mapped.

This dataset is based on 2014 information and will not be updated further. The model is based on a theoretical, worst-case scenario storm that has never occurred in the Edmonton area.

Model Accuracy:

The LiDar used was a 5 meter grid system. LiDar has an accuracy of ? cm horizontally/vertically. Bare Earth LiDar was used in for this model surface.
This is a spline fit interpolations model. This is a 1D-1D model with 2D interpolations.The accuracy of the information provided in these data sets is plus or minus 10 cm vertically, and 10 cm horizontally.

The 100 year flood was based on the 2015 Edmonton 4 year Chicago storm event over 20 plus neighbourhoods. The data is a collection of the worst case scenario of model runs.

This is a common practice for Edmonton drainage models. These models are high level concept and projects determined from this data set will undergo finer, more detailed modeling.

These maps are a visual representation and intended to be used when prioritization of the best engineering solutions that are scheduled to be brought forward to Utility Council to mitigate future flooding in the City. The best engineering solutions are high level concept designs and require further modeling and design. At the time of the PDF release, November 9, 2016 there was no funding for any projects to be completed or for further design. Strategy will be brought forward to Utility Committee on June 7, 2017. Council will be determining funding and rate of project completion.
The Storm size used in these models are larger than Edmonton has historically seen. Historically, as seen in 2004 and 2012, only 4 neighbourhoods at a time were hit with the 100 year rainstorm event. With the continuation of the City-Wide Flood Mitigation Strategy these maps will become obsolete with smaller storms being applied to the area.

Disclaimer: No Warranty with Flood Risk Maps. Your use of the flood risk maps is solely at your own risk, and you are fully responsible for any consequences arising from your use of the flood risk maps. The flood risk maps are provided on an “as is” and “as available” basis, and you agree to use them solely at your own risk. There are no warranties, expressed or implied in respect to the flood risk maps or your use of them, including without limitation, implied warranties and conditions of merchantability and fitness for any particular purpose.

Please note that the flood risk maps have been modified from their original source, and that all data visualization on maps are approximate and include only records that can be mapped.

Geo Coordinate System: WGS84

Map Direct focus to show Mitigation Banks. Please refer to https://floridadep.gov/water/submerged-lands-environmental-resources-coordination/content/mitigation-and-mitigation-banking for more information. Originally created 03/01/2007, and moved to Map Direct Lite on 03/17/2015. Please contact GIS.Librarian@floridadep.gov for more information.

CDFW BIOS GIS Dataset, Contact: Diane Mastalir, Description: This Mitigation Bank Service Area Dataset was created to depict mitigation and conservation bank credit service areas spatially for analysis and mapping. These data are DRAFT and may contain errors and/or omissions.

A map used in the Mitigation Project Viewer app to visualize hazard mitigation projects in the community.

This thematic map series provides the distribution of the various environmental mitigations across hydropower plants within the US.

Activation date: 2023-10-09
Event type: Flood

Activation reason:
On 10 September 2023, storm Daniel reached its peak in north-eastern Libya, causing much damage and major destruction. One of the worst affected cities was Derna, at the time of the event home of 90,000 people. In the aftermath of the heavy rainfall the two ageing dams located in the Wadi Derna valley, one just close to the city itself and one about 12 km southern along the river, collapsed not being able to resist the huge volume of water. This led to a catastrophic event in which large parts of the city were destroyed and thousands of people lost their lives.One of the consequences of this event is that the city of Derna is finding itself once more exposed to floods, without mitigation systems installed to protect the inhabitants and the town. To better understand the flood disaster risk of the area, some analyses based on three different scenarios are mandatory to retrieve insights into the possible impact of future events.Five products in total were delivered for this activation:P1 – Flood hazard modelling;P2 – Reference mapping (of the most current situation);P3 – Exposure assessment of citizens and infrastructures;P4 – Mitigation measures;P5 – Flood hazard modelling considering the mitigation measures.The impacts of the following scenarios were elaborated for the products (except P2):Floods with a low probability (return period ≥ 500 years or extreme event scenarios);Floods with a medium probability (return period ≥ 100 years);Floods with a high probability (return period of five years).P01: Flood hazard modellingThe Euro Maps 3D DSM with a resolution of 5m was pre-processed to improve the quality for easier visual interpretation and data extraction as well as for run-off characteristics for the subsequent hydro modelling. The processing steps were:Conversion into a Digital Terrain Model (DTM) by removing all surface structures except for buildings or other infrastructure relevant for the hydro modelling. To visualize the flow direction in the urban areas the actual state of the buildings were integrated by their footprints. The two dams which were destroyed by the flood were removed from the DTM.The derivation of the Hydro-DEM for the modelling included further processing steps, e.g., removing depressions, stream burning (slope-based filtering), editing the river flow paths to catch the correct outlet point, editing outliers and unwanted elements.A 2D rain-on-grid model has been performed for flood hazard modelling. A high mesh resolution was considered for the upstream hydrological catchment from the main dam up to the outlet of 10m, and the rest of the AOI was modelled with a mesh resolution of 40m. The model has been set up to account for the current situation, where the two dams and bridges at the downstream were removed from the DSM and was run taking into account the three different scenarios: 5y, 100y and 500y return period (RP). The result for the modelling shows a maximum flood depth of 8.60m, 8.72m and 9.28 respectively, these values have been noticed at the two tributaries just upstream of Derna waterfall, where the relief characteristic is very steep with very narrow water courses. Furthermore, the results for the rainfall event modelling also show a flood depth of around 2m (5y RP), 3m (100y RP) and 4m (500y RP) in the main Derna river in the urban area, with relatively high values at different sections in the river where the water seems to be accumulated due to the presence of check dams in this section of the river, leading to a small increase of the water level just at the upstream of the check dams where the reservoirs are. The same phenomena occurred at the reservoirs of the two dams. Figure 1: Flood extent and maximum water depth for the three scenarios in the urban area of Derna.P02: Reference mappingAfter gathering all free available ancillary information with the potential to contribute to the reference dataset production, the data was validated concerning their level of completeness, thematic and geometric accuracy and then included to reference product vectors. Afterwards, a complete and exhaustive visual interpretation of the optical satellite image was performed to improve the completeness and correctness by adding missing geometries and attributes as well as deleting features that were no longer present. A statistic summarises the aera or length of all features per category. Figure 2: Reference dataset example (P2) P03: Exposure assessment of citizens and infrastructuresThe exposure was calculated by intersecting the P1 flood hazard layers with the population and the P2 reference mapping information on buildings and infrastructure. The derived statistics reflect the hazard considering the current situation with the dams destroyed by the flooding on September 10th, 2023.The estimated population potentially affected (based on P1) is arou

This collection is part of the Mapping Blue Carbon Mitigation Opportunity [1].

The data housed in this collection are 10m x 10m Digital Elevation Models tiled into 100km x 100km GeoTIFFs based on the DEA Product Grid [2]. The underlying base data were GA's 2023 250m [3] and The MERIT 90m elevation data [4]. All finer scale data were obtained from National and State based agencies.

The data are consolidated by state.

[1] https://research.csiro.au/coastal-carbon/ [2] https://knowledge.dea.ga.gov.au/guides/reference/collection_3_summary_grid/ [3] https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/148758 [4] https://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/index.html

Lineage: 0) Please see ancillary data folder for more descriptive content. 1) Ensure all data are projected to GDA2020 Australia Albers and use the AVWS datum. 2) National scale base data sets where resampled to 10m x 10m grids and tiled to the DEA Product Grid. 3) Finer scale state and regional based data sets where resampled to the same 10m x 10m grids. 4) On a state by state basis RANK data sets on quality, suitability and coverage. 5) For each DEA tile composite the RANKed data onto the base data tiles. 6) Spot / sanity check coastline data by data analyst working in that region.