This is an update of the digital FIRM information in the state of Idaho. The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards," Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP.This Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. This database has been created by digitizing data from georeferenced paper FIRM maps in the Idaho counties specified by this project. This data should be used as a reference layer, not as an authoritative source.The Flood Insurance Rate Map (FIRM) depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event (A or AE) and the 0.2-percent-annual- chance flood event (X). The FIRM data can be derived from Flood Insurance Studies (FISs) and previously published Flood Insurance Rate Maps (FIRMs). The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). This database has been created by digitizing data from georeferenced paper FIRM maps and adding information from FIS where available. All FIRMs were georeferenced at a 1:4000 scale or finer. This data should be used as a reference layer, not as an authoritative source. Section 11 of FEMA's "Flood Insurance Rate Map (FIRM) Database Technical Reference: Preparing Flood Insurance Rate Map Databases (Nov. 2022)" document contains a detailed description of each attribute code and a reference to other relevant information.https://www.fema.gov/flood-maps/guidance-reports/guidelines-standards/technical-references-flood-risk-analysis-and-mappinghttps://www.fema.gov/sites/default/files/documents/fema_firm-database-technical-reference_112022.pdf

The S_LOMR feature class should contain at least one record for each Letter of Map Revision incorporated into the NFHL. Multipart polygons are not allowed. The spatial entities representing LOMRs are polygons. The spatial information contains the bounding polygon for each LOMR area, broken on panel boundaries.Technical Reference - http://www.fema.gov/media-library-data/1449862521789-e97ed4c7b7405faa7c3691603137ec40/FIRM_Database_Technical_Reference_Nov_2015.pdfFlood hazard and supporting data are developed using specifications for horizontal control consistent with 1:12,000–scale mapping. If you plan to display maps from the National Flood Hazard Layer with other map data for official purposes, ensure that the other information meets FEMA’s standards for map accuracy. The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. USGS imagery and map services that meet this standard can be found by visiting the Knowledge Sharing Site (KSS) for Base Map Standards (420). Other base map standards can be found at https://riskmapportal.msc.fema.gov/kss/MapChanges/default.aspx. You will need a username and password to access this information.The NFHL data are from FEMA’s Flood Insurance Rate Map (FIRM) databases. New data are added continually. The NFHL also contains map changes to FIRM data made by Letters of Map Revision (LOMRs). The NFHL is stored in North American Datum of 1983, Geodetic Reference System 80 coordinate system, though many of the NFHL GIS web services support the Web Mercator Sphere projection commonly used in web mapping applications.

Base Flood Elevations for the 1% annual chance flood.

The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards," Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP.

This database has been created by digitizing data from georeferenced paper FIRM maps and adding information from FIS where available. All FIRMs were georeferenced at a 1:4000 scale or finer. This data should be used as a reference layer, not as an authoritative source.

The hardcopy Flood Insurance Rate Map (FIRM) and the accompanying Flood Insurance Studies (FISs) are the official designation of SFHAs and Base Flood Elevations (BFEs) for the NFIP. For the purposes of the NFIP, changes to the flood risk information published by FEMA may only be performed by FEMA and through the mechanisms established in the NFIP regulations (44 CFR Parts 59-78). These digital data are produced in conjunction with the hardcopy FIRMs and generally match the hardcopy map exactly. However, the hardcopy flood maps and flood profiles are the authoritative documents for the NFIP.

Section 11 of FEMA's "Flood Insurance Rate Map (FIRM) Database Technical Reference: Preparing Flood Insurance Rate Map Databases (Nov. 2022)" document contains a detailed description of each attribute code and a reference to other relevant information.

https://www.fema.gov/flood-maps/guidance-reports/guidelines-standards/technical-references-flood-risk-analysis-and-mapping

https://www.fema.gov/sites/default/files/documents/fema_firm-database-technical-reference_112022.pdf

The LOMA point layer indicates coordinates for Letters of Map Amendment, which can affect flood zone determination without a map change. Please be aware that LOMA point layer is provided ‘as-is’ and that there are several issues that must be considered before using this information. The first is its positional accuracy. Where the point is shown on the map may, or may not, be totally accurate as there are a variety of methods that can be used to translate a mailing address into a geographic coordinate (geocoding). The second is the completeness of the dataset. This point layer only includes LOMAs that have a coordinate associated with them. There are a number of LOMAs that have been processed by FEMA which do not have any type of a coordinate associated with them and those LOMAs are not included within this data.Technical Reference - http://www.fema.gov/media-library-data/1449862521789-e97ed4c7b7405faa7c3691603137ec40/FIRM_Database_Technical_Reference_Nov_2015.pdfFlood hazard and supporting data are developed using specifications for horizontal control consistent with 1:12,000–scale mapping. If you plan to display maps from the National Flood Hazard Layer with other map data for official purposes, ensure that the other information meets FEMA’s standards for map accuracy. The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. USGS imagery and map services that meet this standard can be found by visiting the Knowledge Sharing Site (KSS) for Base Map Standards (420). Other base map standards can be found at https://riskmapportal.msc.fema.gov/kss/MapChanges/default.aspx. You will need a username and password to access this information.The NFHL data are from FEMA’s Flood Insurance Rate Map (FIRM) databases. New data are added continually. The NFHL also contains map changes to FIRM data made by Letters of Map Revision (LOMRs). The NFHL is stored in North American Datum of 1983, Geodetic Reference System 80 coordinate system, though many of the NFHL GIS web services support the Web Mercator Sphere projection commonly used in web mapping applications.

The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population. New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.

description: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using geographic projection and decimal degree coordinate system. The specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. The user is encouraged to refer to the 'Q3 FLOOD DATA SPECIFICATIONS' manual URL:fema-spec.doc and the 'Q3 FLOOD DATA USERS GUIDE' URL:fema-userg.doc for complete information on the technical details of the Q3 data, its attributes, its uses, and limitations.; abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using geographic projection and decimal degree coordinate system. The specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. The user is encouraged to refer to the 'Q3 FLOOD DATA SPECIFICATIONS' manual URL:fema-spec.doc and the 'Q3 FLOOD DATA USERS GUIDE' URL:fema-userg.doc for complete information on the technical details of the Q3 data, its attributes, its uses, and limitations.

The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards," Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP.

This database has been created by digitizing data from georeferenced paper FIRM maps and adding information from FIS where available. All FIRMs were georeferenced at a 1:4000 scale or finer. This data should be used as a reference layer, not as an authoritative source.

The hardcopy Flood Insurance Rate Map (FIRM) and the accompanying Flood Insurance Studies (FISs) are the official designation of SFHAs and Base Flood Elevations (BFEs) for the NFIP. For the purposes of the NFIP, changes to the flood risk information published by FEMA may only be performed by FEMA and through the mechanisms established in the NFIP regulations (44 CFR Parts 59-78). These digital data are produced in conjunction with the hardcopy FIRMs and generally match the hardcopy map exactly. However, the hardcopy flood maps and flood profiles are the authoritative documents for the NFIP.

Section 11 of FEMA's "Flood Insurance Rate Map (FIRM) Database Technical Reference: Preparing Flood Insurance Rate Map Databases (Nov. 2022)" document contains a detailed description of each attribute code and a reference to other relevant information.

https://www.fema.gov/flood-maps/guidance-reports/guidelines-standards/technical-references-flood-risk-analysis-and-mapping

https://www.fema.gov/sites/default/files/documents/fema_firm-database-technical-reference_112022.pdf

This is an update of the digital FIRM information in the state of Idaho. This feature class shows areas depicting a Letter of Map Revision (LOMR) boundary. The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards," Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP.

This Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. This database has been created by digitizing data from georeferenced paper FIRM maps in the Idaho counties specified by this project. This data should be used as a reference layer, not as an authoritative source.

The Flood Insurance Rate Map (FIRM) depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event (A or AE) and the 0.2-percent-annual- chance flood event (X). The FIRM data can be derived from Flood Insurance Studies (FISs) and previously published Flood Insurance Rate Maps (FIRMs). The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). This database has been created by digitizing data from georeferenced paper FIRM maps and adding information from FIS where available. All FIRMs were georeferenced at a 1:4000 scale or finer. This data should be used as a reference layer, not as an authoritative source.

Section 11 of FEMA's "Flood Insurance Rate Map (FIRM) Database Technical Reference: Preparing Flood Insurance Rate Map Databases (Nov. 2022)" document contains a detailed description of each attribute code and a reference to other relevant information.

https://www.fema.gov/flood-maps/guidance-reports/guidelines-standards/technical-references-flood-risk-analysis-and-mapping

https://www.fema.gov/sites/default/files/documents/fema_firm-database-technical-reference_112022.pdf

USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.

FEMA’s National Flood Hazard LayerFEMA provides access to the National Flood Hazard Layer through web mapping services. The National Flood Hazard Layer is a computer database that contains FEMA’s flood hazard map data.The data depict flood hazard information and supporting data used to develop the information. The primary flood hazard classification is indicated in the Flood Hazard Zones layer.The NFHL layers include:Flood hazard zones and labelsRiver Miles MarkersCross-sections and coastal transects and their labelsLetter of Map Revision (LOMR) boundaries and case numbersFlood Insurance Rate Map (FIRM) boundaries, labels and effective datesCoastal Barrier Resources System (CBRS) and Otherwise Protected Area (OPA) unitsCommunity boundaries and namesLeveesHydraulic and flood control structuresProfile and coastal transect baselinesLimit of Moderate Wave Action(LiMWA)Not all effective Flood Insurance Rate Maps (FIRM) have GIS data available. To view a list of available county and single-jurisdiction flood study data in GIS format and check the status of the NFHL GIS services please visit the NFHL Status Page.FEMA GeoPlatformThe NFHL GIS service is available through FEMAs GeoPlatform, an ArcGIS Online portal containing a variety of FEMA-related data.To view the NFHL on the FEMA GeoPlatform go to NFHL on FEMA GeoPlatform.Technical InformationFlood hazard and supporting data are developed using specifications for horizontal control consistent with 1:12,000–scale mapping. If you plan to display maps from the National Flood Hazard Layer with other map data for official purposes, ensure that the other information meets FEMA’s standards for map accuracy.The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. USGS imagery and map services that meet this standard can be found by visiting the Knowledge Sharing Site (KSS) for Base Map Standards (420). Other base map standards can be found at https://riskmapportal.msc.fema.gov/kss/MapChanges/default.aspx. You will need a username and password to access this information.The NFHL data are from FEMA’s Flood Insurance Rate Map (FIRM) databases. New data are added continually. The NFHL also contains map changes to FIRM data made by Letters of Map Revision (LOMRs).The NFHL is stored in North American Datum of 1983, Geodetic Reference System 80 coordinate system, though many of the NFHL GIS web services support the Web Mercator Sphere projection commonly used in web mapping applications.Organization & DisplayThe NFHL is organized into many data layers. The layers display information at map scales appropriate for the data. A layer indicating the availability of NFHL data is displayed at map scales smaller than 1:250,000, regional overviews at map scales between 1:250,000 and 1:50,000, and detailed flood hazard maps at map scales of 1:50,000 and larger. The "Scalehint" item in the Capabilities file for the Web Map Service encodes the scale range for a layer.In addition, there are non-NFHL datasets provided in the GIS web services, such as information about the availability of flood data and maps, the national map panel scheme, and point locations for Letters of Map Amendment (LOMA) and Letters of Map Revision Based on Fill (LOMR-Fs). The Letters of Map Amendment (LOMA) are positioned less accurately than are the National Flood Hazard Layer data.Layers in the public NFHL GIS services:Use the numbers shown below when referencing layers by number.0. NFHL Availability1. LOMRs2. LOMAs3. FIRM Panels4. Base Index5. PLSS6. Toplogical Low Confidence Areas7. River Mile Markers8. Datum Conversion Points9. Coastal Gages10. Gages11. Nodes12. High Water Marks13. Station Start Points14. Cross-Sections15. Coastal Transects16. Base Flood Elevations17. Profile Baselines18. Transect Baselines19. Limit of Moderate Wave Action20. Water Lines21. Coastal Barrier Resources System Area22. Political Jurisdictions23. Levees24. General Structures25. Primary Frontal Dunes26. Hydrologic Reaches27. Flood Hazard Boundaries28. Flood Hazard Zones29. Submittal Information30. Alluvial Fans31. Subbasins32. Water Areas

According to NOAA, "Floods are the most common and widespread of all weather-related natural disasters" and as our earth continues to warm due to climate change, precipitation events are becoming more frequent and more intense, dropping record-setting amounts of water from the sky. Whenever the volume of water on land overcomes the capacity of natural and built drainage systems to carry it away, inland flooding can result. Floods can happen in minutes or over long periods of time, but in either case the effects can be devastating and life-threatening. Building community resilience to inland flooding involves several steps including assessing vulnerability and risk of the community members.© 2024 Adobe Stock. All rights reserved.By utilizing decades of satellite observation data and historical flood maps, models are built that can predict land cover and flood risk in the year 2050. Since we know property and life in flood prone areas is at-risk, we can use the projected maps to plan for flood resilience. This layer displays census tracts that are ranked according to which would benefit most from slowing development. The ranking is based upon a bivariate map built with the following attributes:Percent of Properties with Flooding in 30 Years in the Return Period 100 Scenario (%) - Data no longer available.Average Vulnerability to Landcover ChangeThese attribute links take you to the original data sources. Preprocessing was needed to prepare many of these inputs for inclusion in our index. The links are provided for reference only.This layer is one of six in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these layers highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each layer focuses on one specific flood resilience intervention that is intended to help mitigate against the climate hazard. Building flood resilience is something that should be done now, but it's also important to consider the future of our communities, and we are fortunate to have these 2050 projections. With this information, community planners have the opportunity to get ahead of climate change induced hazards like inland flooding. Layers in the inland flooding series include,Where Would Better Flood Awareness Improve Inland Flood Resilience?Where Would Better Evacuation Routes Improve Flood Resilience?Where Would Open Space Preservation Improve Flood Resilience?Where Would Reducing Impervious Surfaces Improve Flood Resilience?Where Would Restoring Built-up Areas Improve Flood Resilience?Where Would Future Flood Prone Areas Benefit From Slowing Development?Did you know you can build your own climate resilience index or use ours and customize it? The Customize a climate resilience index Tutorial provides more information on the index and also walks you through steps for taking our index and customizing it to your needs so you can create intervention maps better suited to your location and sourced from your own higher resolution data. For more information about how Esri enriched the census tracts with exposure, demographic, and environmental data to create composite indices called intervention indices, please read this technical reference.This feature layer was created from the Climate Resilience Planning Census Tracts hosted feature layer view and is one of 18 similar intervention layers, all of which can be found in ArcGIS Living Atlas of the World.

According to NOAA, "Floods are the most common and widespread of all weather-related natural disasters" and as our earth continues to warm due to climate change, precipitation events are becoming more frequent and more intense, dropping record-setting amounts of water from the sky. Whenever the volume of water on land overcomes the capacity of natural and built drainage systems to carry it away, inland flooding can result. Floods can happen in minutes or over long periods of time, but in either case the effects can be devastating and life-threatening. Building community resilience to inland flooding involves several steps including assessing vulnerability and risk of the community members. © 2024 Adobe Stock. All rights reserved.Areas near rivers are well known to be especially at-risk of flooding as our natural or engineered waterways transport water flowing over the land's surface, and if the capacity of the river is exceeded, the water will overflow onto the areas adjacent to the river bank. Flood waters can quickly do damage to homes and threaten life, so it is important to inform and educate community members living in or near flood prone areas. This layer displays census tracts that are ranked according to which would benefit most from flood awareness campaigns aimed at improving resident's understanding of flood risk and the dangers it imposes. The ranking is based upon a composite index built with the following attributes:Percent of Properties with Flooding Today in the Return Period 100 Scenario (%) - Data no longer available.Population Density (ppl/km2)Total Disadvantaged Categories Exceeded (count)These attribute links take you to the original data sources. Preprocessing was needed to prepare many of these inputs for inclusion in our index. The links are provided for reference only.This layer is one of six in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these layers highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each layer focuses on one specific flood resilience intervention that is intended to help mitigate against the climate hazard. Improving awareness of the dangers of floods will better prepare your community members so that when a flood occurs life and property can be spared. For more information on steps you can take to prepare for flood events visit the National Resources Defense Council website and the U.S. Climate Resilience Toolkit and consider creating a flood awareness campaign that involves things like holding public forums about the dangers of flooding, canvasing neighborhoods to spread the word about flood preparedness strategies and available programs for flood insurance. Layers in the inland flooding series include,Where Would Better Flood Awareness Improve Inland Flood Resilience?Where Would Better Evacuation Routes Improve Flood Resilience?Where Would Open Space Preservation Improve Flood Resilience?Where Would Reducing Impervious Surfaces Improve Flood Resilience?Where Would Restoring Built-up Areas Improve Flood Resilience?Where Would Future Flood Prone Areas Benefit From Slowing Development?Did you know you can build your own climate resilience index or use ours and customize it? The Customize a climate resilience index Tutorial provides more information on the index and also walks you through steps for taking our index and customizing it to your needs so you can create intervention maps better suited to your location and sourced from your own higher resolution data. For more information about how Esri enriched the census tracts with exposure, demographic, and environmental data to create composite indices called intervention indices, please read this technical reference.This feature layer was created from the Climate Resilience Planning Census Tracts hosted feature layer view and is one of 18 similar intervention layers, all of which can be found in ArcGIS Living Atlas of the World.

According to NOAA, "Floods are the most common and widespread of all weather-related natural disasters" and as our earth continues to warm due to climate change, precipitation events are becoming more frequent and more intense, dropping record-setting amounts of water from the sky. Whenever the volume of water on land overcomes the capacity of natural and built drainage systems to carry it away, inland flooding can result. Floods can happen in minutes or over long periods of time, but in either case the effects can be devastating and life-threatening. Building community resilience to inland flooding involves several steps including assessing vulnerability and risk of the community members. © 2024 Adobe Stock. All rights reserved.Riparian areas are lands adjacent to rivers, streams, lakes and other water bodies, and they provide a great deal of value to both wildlife as well as dissipate the energy of storm-generated waves and provide considerable resistance to streambank erosion. The natural sinuosity and complexity of river and stream channels helps to dissipate energy of raging flows during intense precipitation events. Identifying impervious surfaces and other concrete and "built" structures in the riparian zone and removing them allows for natural vegetation to take its place, thus increasing the resilience to flooding at a local level. This layer displays census tracts that are ranked according to which would benefit most from improving evacuation routes. The ranking is based upon a composite index built with the following attributes:Percent of Properties with Flooding Today in the Return Period 100 Scenario (%) - Data source no longer availablePercent Riparian Area (%)Percent of Area to Restore (%) - Expressed as a percentage of the tract with landcover classified as “built-up”.These attribute links take you to the original data sources. Preprocessing was needed to prepare many of these inputs for inclusion in our index. The links are provided for reference only.This layer is one of six in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these layers highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each layer focuses on one specific flood resilience intervention that is intended to help mitigate against the climate hazard.Restoring built-up areas to natural habitat has many benefits including mitigating flood damage. For more information, the Commonwealth of Massachusetts has an excellent document that describes the functions of riparian areas for storm damage prevention. Additionally, here is a resource from the EPA.Layers in the inland flooding series include,Where Would Better Flood Awareness Improve Inland Flood Resilience?Where Would Better Evacuation Routes Improve Flood Resilience?Where Would Open Space Preservation Improve Flood Resilience?Where Would Reducing Impervious Surfaces Improve Flood Resilience?Where Would Restoring Built-up Areas Improve Flood Resilience?Where Would Future Flood Prone Areas Benefit From Slowing Development?Did you know you can build your own climate resilience index or use ours and customize it? The Customize a climate resilience index Tutorial provides more information on the index and also walks you through steps for taking our index and customizing it to your needs so you can create intervention maps better suited to your location and sourced from your own higher resolution data. For more information about how Esri enriched the census tracts with exposure, demographic, and environmental data to create composite indices called intervention indices, please read this technical reference.This feature layer was created from the Climate Resilience Planning Census Tracts hosted feature layer view and is one of 18 similar intervention layers, all of which can be found in ArcGIS Living Atlas of the World.

Sea level rise is an ever-looming climate hazard facing the coastal communities of the United States. Communities big and small need easy-to-use tools for climate resilience planning and mitigation strategies. This layer shows coastal census tracts that are at risk from sea level rise and also have residents living below the poverty level in homes that are built before the year 1970. This layer should be used to identify and prioritize where to increase awareness about the dangers of sea level rise to vulnerable populations. © 2024 Adobe Stock. All rights reserved.This layer shows the results of a composite index built with the following attributes: Percent of the Tract Area Predicted to be Below Sea Level by 2050 (%)Percent of Housing Units Built before 1970 (%)Percent of Population whose income in the past 12 months is below poverty level (%)These attribute links take you to the original data sources. Preprocessing was needed to prepare many of these inputs for inclusion in our index. The links are provided for reference only.This layer is one of six in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these layers highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each layer focuses on one specific sea level rise intervention that is intended to help mitigate against the climate hazard.Each intervention index will help with planning and prioritizing mitigations against a suite of climate change hazards. A climate resilience intervention index can be used to rank census tracts in a particular area as benefitting more or less from that particular intervention.

Each intervention index in this set is envisioned to help with planning and prioritizing mitigations against sea level rise.Layers in the sea level rise hazard series include,Where Would Planting Mangrove Trees Mitigate Coastal Flooding?Where Would Planting Marsh Grass Mitigate Coastal Flooding?Where Would a Buddy Program Improve Coastal Flooding Preparedness?Where Would Coastal Flooding Awareness Increase Resilience?Low-income Households At Risk From Sea Level RiseDisadvantaged Communities At Risk From Sea Level RiseDid you know you can build your own climate resilience index or use ours and customize it? The Customize a climate resilience index Tutorial provides more information on the index and also walks you through steps for taking our index and customizing it to your needs so you can create intervention maps better suited to your location and sourced from your own higher resolution data. For more information about how Esri enriched the census tracts with exposure, demographic, and environmental data to create composite indices called intervention indices, please read this technical reference.This feature layer was created from the Climate Resilience Planning Census Tracts hosted feature layer view and is one of 18 similar intervention layers, all of which can be found in ArcGIS Living Atlas of the World.

Sea level rise is an ever-looming climate hazard facing the coastal communities of the United States. Communities big and small need easy-to-use tools for climate resilience planning and mitigation strategies. This layer shows coastal census tracts that are at risk from sea level rise and also are suitable for growing marsh grass and also have a high percentage of undeveloped land. Marsh grass is proven to stabilize shoreline and dampen wave energy during severe storm surges, and is an excellent choice for mitigating against damage from sea level rise. This layer should be used to identify and prioritize where to plant marsh grass. © 2024 Adobe Stock. All rights reserved.Marsh grasses provide significant shoreline stabilization and can also drastically dampen wave energy during severe storms. As sea levels rise due to global warming and climate change, planting marsh grasses will protect your community from shoreline erosion. Additionally, salt marshes are excellent habitats with high biodiversity, and as sea levels rise some of these marshes may soon be under water. To preserve the biodiversity in the area, planting additional marsh grasses ensures local wildlife will continue to have quality habitat. This layer displays census tracts that are ranked according to which would benefit most from planting marsh grasses. The ranking is based upon a composite index built with the following attributes: Percent of the Tract Area Predicted to be Below Sea Level by 2050 (%)Length of Marsh Grass Habitat (meters)Percent of the Tract Area that is Undeveloped (%) - Expressed as a percentage of the tract with landcover classified as anything other than “built-up”.These attribute links take you to the original data sources. Preprocessing was needed to prepare many of these inputs for inclusion in our index. The links are provided for reference only.This layer is one of six in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these layer highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each layer focuses on one specific sea level rise intervention that is intended to help mitigate against the climate hazard.Layers in the sea level rise hazard series include,Where Would Planting Mangrove Trees Mitigate Coastal Flooding?Where Would Planting Marsh Grass Mitigate Coastal Flooding?Where Would a Buddy Program Improve Coastal Flooding Preparedness?Where Would Coastal Flooding Awareness Increase Resilience?Low-income Households At Risk From Sea Level RiseDisadvantaged Communities At Risk From Sea Level Rise

Did you know you can build your own climate resilience index or use ours and customize it? The Customize a climate resilience index Tutorial provides more information on the index and also walks you through steps for taking our index and customizing it to your needs so you can create intervention maps better suited to your location and sourced from your own higher resolution data. For more information about how Esri enriched the census tracts with exposure, demographic, and environmental data to create composite indices called intervention indices, please read this technical reference.This feature layer was created from the Climate Resilience Planning Census Tracts hosted feature layer view and is one of 18 similar intervention layers, all of which can be found in ArcGIS Living Atlas of the World.