Water data

Dates of Images: Post-Event: June 28, 2026 Pre-Event: May 14, 2026 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Color Infrared composite is created using the near-infrared, red, and green channels. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: True Color: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: https://gis.earthdata.nasa.gov/portal/rest/services/DISASTERS_202606_FLOOD_LA/202610_sentinel2/ImageServer WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202606_FLOOD_LA/202610_sentinel2/ImageServer/WMSServer

Date of Images: 5/15/2024, 5/8/2024, 4/21/2024, 4/6/2024 Summary: Scientists at NASA's Marshall Space Flight Center created these water extents using Landsat imagery. These images can be used to see where open water is visible at the time of the satellite overpass. This product shows all water detected and differentiates between normal water areas and some flooded areas. This product was classified using the ESA Worldview. It's important to note that all flooded areas may not be captured do to the sensors limitations of not being able to "see" through vegetation and buildings. To determine where additional flooding may have occurred, combine this layer with other data sets. Suggested Use: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classifications from CDL that appear to have water and are potentially flooded. Blue (1): Known Water Red (2): Flooded Developed Green (3): Flooded Vegetation Orange (4): Flooded Cropland/Grassland Gray (5): Clouds/Cloud Shadow (0): No Data Satellite/Sensor: Landsat Resolution: 30 meters Credits: NASA Disasters Program, Includes copyrighted material of Planet Labs PBC. All rights reserved. Esri REST Endpoint: See URL section on the right side of page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/2602_landsat_WaterExtent/MapServer/WMSServer

Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage

Le Conseil départemental réalise chaque année deux séries de mesures qui présentent le trafic moyen journalier enregistré sur les routes du département : l’une pour les comptages permanents et l’autre pour les comptages temporaires. Ainsi, le recueil de ces données permet au gestionnaire de la voirie départementale d’affiner ses analyses routières dans le cadre de la réalisation de projets et de l’entretien du patrimoine routier. Ces mesures peuvent également venir en appui aux autres collectivités soucieuses de l’impact de la circulation sur leur territoire ainsi qu’aux usagers particuliers (problématiques riveraines, commerciales, etc.).

Le Conseil départemental réalise chaque année deux séries de mesures qui présentent le trafic moyen journalier enregistré sur les routes du département : l’une pour les comptages permanents et l’autre pour les comptages temporaires. Ainsi, le recueil de ces données permet au gestionnaire de la voirie départementale d’affiner ses analyses routières dans le cadre de la réalisation de projets et de l’entretien du patrimoine routier. Ces mesures peuvent également venir en appui aux autres collectivités soucieuses de l’impact de la circulation sur leur territoire ainsi qu’aux usagers particuliers (problématiques riveraines, commerciales, etc.).

Linear hydrography features representing rivers, streams, and other linear water features. Each row is a line with attributes for name, direction, and type. Published by the US Census Bureau for the United States.

Le Conseil départemental réalise chaque année deux séries de mesures qui présentent le trafic moyen journalier enregistré sur les routes du département : l’une pour les comptages permanents et l’autre pour les comptages temporaires. Ainsi, le recueil de ces données permet au gestionnaire de la voirie départementale d’affiner ses analyses routières dans le cadre de la réalisation de projets et de l’entretien du patrimoine routier. Ces mesures peuvent également venir en appui aux autres collectivités soucieuses de l’impact de la circulation sur leur territoire ainsi qu’aux usagers particuliers (problématiques riveraines, commerciales, etc.).

Portions of nine rivers of exceptional quality and aesthetic character were designated as Kentucky Wild Rivers in 1972. Each Wild River is actually a linear corridor encompassing all visible land on each side of the river up to a distance of no more than 2,000 feet. The nine Wild River corridors comprise a total of 114 river miles and 26,961 acres of land. Each section of river is protected in a free flowing state and provides areas for the perpetuation of Kentucky’s wild fauna and flora as well as recreational opportunity. Regardless of ownership, which varies across each section, the Wild River Act sets forth certain restrictions of allowable activities to protect and preserve these areas for future generations. https://apps.legislature.ky.gov/law/statutes/chapter.aspx?id=37693 Onlink Url: https://ky.box.com/v/kymartian-wild-rivers

Labels for linear hydrography features in the United States, published by the US Census Bureau. Each feature represents a linear water feature and includes attributes such as name, order number, and landmark name.

Areal hydrography features representing water bodies such as lakes, ponds, and reservoirs. Each row is a polygon with attributes for name, area, and centroid coordinates. Published by the US Census Bureau for the United States.

Dates of Images: Post-Event: December 17, 2025 Pre-Event: October 13, 2025 Date of Next Image: Unknown Summary: Modified Normalized Difference Water Index (MNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas. Suggested Use: For mNDWI, areas of existing water, such as a rivers or lakes appear in the darkest green with high values near 1, while dry land appears in the darkest brown with low values near -1. This product can be used to identify potentially flooded areas that can be seen in varying shades of green and light brown depending on the amount of moisture picked up by the satellite. Note: Areas of cloud cover will show up in varying shades of green/blue similar to water. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL to the right. WMS: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202512_FLOOD_WA/2512_sentinel2_mndwi/ImageServer/WMSServer

Date of Images: May 5, 2024, August 9, 2024, August 21, 2024 Summary: The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the surface water extent maps from Sentinel-1. The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. Suggested Use: The OPERA DSWx-S1 products classifies the OPERA Radiometric Terrain Corrected SAR backscatter from Sentinel-1 (RTC-S1) input imagery into: not water, water, and inundated vegetation with the masks such as layover/shadow mask and HAND mask. The WTR layer includes all classes. Open water and inundated vegetation are represented in blue and green in WTR. Areas with masks are gray. The masks include the layover/shadow mask and HAND mask. Areas with no water detected are transparent. Transparent: Not Water Blue: Water Green: Inundated Vegetation Gray: Layover/Shadow/Hand Masks Satellite/Sensor: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite Harmonized Landsat Sentinel-2 (HLS): MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites and Operational Land Imager (OLI) on the NASA/USGS Landsat 8 satellite Resolution: 30 meters The DSWx-S1 products have these flags: 250 (light gray) and 251 (dark gray) represent HAND and layover/shadow masks, respectively. HAND mask (light gray, value 250) delineates regions where the terrain's elevation exceeds a specified threshold relative to the height above the nearest drainage point, indicating areas less likely to be subject to direct inundation. Layover/shadow mask (dark gray, value 251) identifies zones that are either occluded by topographic features taller than the surrounding landscape (layover) or are not illuminated by the radar signal due to obstruction by these elevated features (shadow), leading to potential data voids in SAR imagery. Credits: NASA JPL-Caltech ARIA/OPERA Team Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2024), processed by the European Space Agency and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA's Jet Propulsion Laboratory. The OPERA DSWx products have been in production since September 2024, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite. For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov. For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera. Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=feb8ab36293f4bcfa20ca61e54fa1298 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202408_FLOOD_BANGLADESH/2423_opera_dswx_s1/ImageServer/WMSServer

Dates of Images: Post-Event: May 6, 2024 Pre-Event: April 21, 2024 Date of Next Image: None Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Short Wave Infrared (SWIR) RGB is a product that is created using the SWIR, NIR, and Red channels of the respective instrument. The Color Infrared composite is created using the near-infrared, red, and green channels. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. The Short Wave Infrared (SWIR) RGB is a product that can provides value in flood detection. Areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow will appear as a bright blue/cyan, and bare soils being multicolor dependent on their makeup. Compare pre-event imagery to post-event imagery to identify potential flooding. A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 Meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See layers below. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_sentinel2/ImageServer/WMSServer

Special-use waters are waters listed in Kentucky Administrative Regulations that are worthy of additional protection. There are two basic categories of special-use waters: those that have higher “Designated Use” protections and those that have higher “Antidegradation” protections. Higher designated uses are “Cold Water Aquatic Habitat” (CAH) and “Outstanding State Resource Water” (OSRW). CAHmeans surface waters and associated substrate that will support indigenous aquatic life, or self-sustaining or reproducing trout populations, on a year-round basis (401 KAR 10:031, Section 4). OSRWmeans surface waters designated by the cabinet pursuant to 401 KAR 10:031, Section 8, and includes certain unique waters of the Commonwealth, including Kentucky Wild Rivers, Federal Wild and Scenic Rivers, and waters supporting federally recognized threatened or endangered species. A water can have both the “CAH” and “OSRW” designation. A water with the tag of “T/E” indicates an OSRW that supports federally threatened or endangered species. Higher antidegradation protection categories include “Outstanding National Resource Water” (ONRW) and “Exceptional Water” (EXC). ONRWs are waters that meet the requirements for an OSRW and demonstrate national ecological or recreational significance. EXCare certain waters whose quality exceeds that necessary to support propagation of fish, shellfish and wildlife and recreation in and on the water. Waters placed in this category are reference reach waters (RR), Kentucky Wild Rivers, some OSRWs and waters with excellent fish or macroinvertebrate communities (401 KAR 10:030 Section 1). RRwaters are a representative subpopulation of the least impacted streams within a bioregion. These streams serve as chemical, physical and biological models from which to determine the degree of impairment (physical, chemical or biological) to similar stream systems in each representative bioregion. These are not necessarily pristine streams, but represent those least disturbed conditions that are attainable in each bioregion. Any water identified as “candidate” is a water identified for a higher designated use or antidegradation category but has not yet been promulgated. Download spatial layer on Box. --- "Exceptional waters" (EXCW) means certain waterbodies whose quality exceeds that necessary to support propagation of fish, shellfish and wildlife and recreation in and on the water. Waters placed in this category are reference reach waters, Kentucky Wild Rivers, some Outstanding State Resource Waters and waters with "excellent" fish or macroinvertebrate communities (401 KAR 5:030 Section 1). "Reference Reach Waters" (R-RCH) are a representative subpopulation of the least impacted streams within a bioregion. These streams serve as chemical, physical and biological models from which to determine the degree of impairment (physical, chemical or biological) to similar stream systems in each representative bioregion. These are not necessarily pristine streams, but represent those least disturbed conditions that are attainable in each bioregion.Categories also currently covered in this data set: Cold Water Aquatic Habitat (CAH) means surface waters and associated substrate that will support indigenous aquatic life, or self-sustaining or reproducing trout populations, on a year-round basis. (401 KAR 10:031, Section 4) Outstanding State Resource Water (OSRW) means surface waters designated by the cabinet pursuant to 401 KAR 10:031, Section 8, and includes certains unique waters of the Commonwealth. CAH, OSRW - Rivers and streams which fall under both of the above categories. Threatened/Endangered (T/E) - Outstanding state resource waters with federally threatened or endangered species. T/E, CAH - Rivers/streams which fall under both the Threatened/Endangered and Cold Water Aquatic Habitat categories.

1. Descripción Divisiones territoriales de gestión hídrica correspondientes a las Demarcaciones Hidrográficas del Ecuador que intersectan el módulo ecuatoriano. 2. Fuente Geoportal IDE Ambiente; referencia institucional de planificación hídrica del Ministerio del Ambiente y Agua. 3. Procedimiento gportal Fuente HB003: 10 polígonos nacionales. Tres demarcaciones intersectan ECU_MOD. Se conserva solamente el nombre de la demarcación y el área recortada. Se descartan fcode y ralt: el primero es código interno y el segundo carece de definición documental en el paquete recibido, por lo que no se expone al usuario. No se aplica dissolve ni simplificación. 4. Referencias https://ide.ambiente.gob.ec/mapainteractivo/ https://suia.ambiente.gob.ec/?page_id=495

1. Descripción Componente poligonal de Áreas de Protección Hídrica. La ficha del Geoportal IDE Ambiente conservada con la descarga indica mayo de 2026 como fecha de información geográfica. La fuente define estas áreas como territorios donde existen fuentes de agua declaradas de interés público para su mantenimiento, conservación y protección, que abastecen el consumo humano o contribuyen a garantizar la soberanía alimentaria. Denominación corta Áreas de Protección Hídrica Designación larga Áreas de Protección Hídrica del módulo ecuatoriano Código temático HD002 Fecha de información geográfica Mayo de 2026 Registros originales 42 Registros que intersectan ECU_MOD 25 CRS final WGS 84 (EPSG:4326) Campos finales Dir_zonal, Dem_hidro, Nombre 2. Fuente original Fuente: Ministerio del Ambiente y Energía - Geoportal IDE Ambiente, componente «Áreas de Protección Hídrica». Se preservan en la carpeta Original la descarga original y la captura descriptiva DESCP006.jpg. https://ide.ambiente.gob.ec/mapainteractivo/ https://www.datosabiertos.gob.ec/dataset/area-de-proteccion-hidrica https://www.ambiente.gob.ec/wp-content/uploads/downloads/2018/05/Ley-Organica-Recursos-Hidricos-Usos-y-Aprovechamiento-del-Agua.pdf 3. Operaciones GIS Lectura del shapefile original con 42 registros en EPSG:32717. Recorte espacial mediante intersección con el polígono «ECU_MOD_POLIG_LIMITE_WGS84 4326». Conservación de 25 Áreas de Protección Hídrica que intersectan ECU_MOD. Reproyección del resultado a WGS 84 (EPSG:4326). No se aplicó dissolve, simplificación ni generalización geométrica. 4. Depuración de la tabla de atributos Por criterio de preparación para la aplicación se conservaron únicamente las tres columnas marcadas en la tabla original: namdz, dhnom y nam. Fueron renombradas a Dir_zonal, Dem_hidro y Nombre para facilitar su lectura y mantener compatibilidad con Shapefile. Los contenidos se normalizaron de mayúsculas sostenidas a mayúsculas y minúsculas. Se corrigió además la codificación de caracteres para preservar tildes y nombres propios. No se alteró el significado de los valores seleccionados. La fuente contiene campos secundarios de dirección zonal y demarcación hidrográfica. Por criterio de depuración de esta entrega se conservaron únicamente las tres columnas marcadas: namdz, dhnom y nam. En el conjunto que intersecta ECU_MOD, el registro «Sur del Ecuador» presenta información secundaria en esos campos auxiliares; dicha información permanece disponible en el original preservado. 5. Estructura final de atributos Campo final Campo fuente Alias Contenido Dir_zonal namdz Dirección zonal Dirección zonal principal asociada al área. Dem_hidro dhnom Demarcación hidrográfica Demarcación hidrográfica principal asociada al área. Nombre nam Nombre del área Nombre propio del Área de Protección Hídrica.

Le Conseil départemental réalise chaque année deux séries de mesures qui présentent le trafic moyen journalier enregistré sur les routes du département : l’une pour les comptages permanents et l’autre pour les comptages temporaires. Ainsi, le recueil de ces données permet au gestionnaire de la voirie départementale d’affiner ses analyses routières dans le cadre de la réalisation de projets et de l’entretien du patrimoine routier. Ces mesures peuvent également venir en appui aux autres collectivités soucieuses de l’impact de la circulation sur leur territoire ainsi qu’aux usagers particuliers (problématiques riveraines, commerciales, etc.).

The 3D Hydrography Program (3DHP) data is an integrated, National, 3D-enabled hydrologic dataset derived from the USGS 3D Elevation Program (3DEP) data. For areas where Elevation-derived Hydrography (EDH) has not yet been collected, 3DHP data is supplemented by hydrologic vector data from the National Hydrography Dataset (NHD). As further EDH data is collected, it will replace the NHD data in those areas. 3DHP data ingested from EDH sources includes ‘value added’ catchments and flowline network derivative attributes. All the data is open and non-proprietary. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. This dataset is not intended to be used for site-specific regulatory determinations. 3DHP datasets include a three-dimensional (3D) hydrography network generated from, and integrated with, elevation data from the 3DEP to better represent stream gradients and channel conditions, along with waterbodies, hydrologic units, hydrologically enhanced elevation and other surfaces, and more consistent and accurate attributes. This product is new in federal fiscal year 2025 (FY25), and consists only of vector data in a series of feature classes. The product represents the 3DHP dataset and the schema in which it is contained as of September 30, 2024 Future Annual Staged Product releases will reflect the schema at the time the product is generated and include more EDH-sourced data holdings.

This Collection provides Sentinel-3 SRAL Level-2 Land Altimetry Hydrology products, which contains surface topography estimations of lakes and rivers.

This dataset indicates whether the City of Tempe met its groundwater production capacity to meet the projected average for future annual daily demand.  Currently, Tempe has approximately 24 million gallons per day (MGD) of existing recovery well production capacity and an average annual daily demand of around 43 MGD.  Over the next five years, capital projects are planned to design and construct wells that will add or recapture about 10 MGD of additional capacity to the system.  Some of these projects include the addition of wellhead treatment to existing wells that were removed from service due to water quality concerns.  As this program develops, additional new wells will be sited and added to the overall system to bring us closer to reaching this goal.  The performance measure dashboard is available at 4.16 Groundwater Supply     Data Dictionary   Additional Information   Source: Arizona Department of Water Resources Contact:  Tara Ford Contact E-Mail: Tara_Ford@tempe.gov Data Source Type:  Excel Preparation Method:  The permitted capacity for each well site is added together. Publish Frequency:  Annual Publish Method: Manual

Overview This feature service provides stormwater asset point locations maintained by WFN and served through RDCO infrastructure. It supports viewing, reviewing, and managing storm drainage assets within the service area. Feature Layer WFN Storm Points: A point feature layer representing stormwater infrastructure assets. The layer includes asset identification,  installation details, orientation, and maintenance-related comments, supporting operational stormwater inventory and asset management. Geographic Coverage The service covers the Westbank First Nation (WFN) area within the Regional District of Central Okanagan. Use Cases Stormwater asset inventory and field reference Infrastructure maintenance and condition tracking Operational planning for drainage networks Supporting utility GIS workflows Source and Licensing The service is created and maintained by Westbank First Nation (WFN) and is hosted on RDCO servers. It is shared under the Regional District of Central Okanagan Open Data License, with the accompanying disclaimer and terms of use.

Dates of Images: Post-Event: May 6, 2024 Pre-Event: April 21, 2024 Date of Next Image: None Summary: The Modified Normalized Difference Water Index (mNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas. Suggested Use: For mNDWI, Areas of existing water, such as a rivers or lakes appear in the darkest green with high values near 1, while dry land appears in the darkest brown with low values near -1. This product can be used to identify potentially flooded areas that can be seen in varying shades of green and light brown depending on the amount of moisture picked up by the satellite. Note: Areas of cloud cover will show up in varying shades of green/blue similar to water Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 Meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See layers below. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_sentinel2_mndwi/ImageServer/WMSServer

Dates of Images: Pre-Event: 04/20/2024 (pre-flood) Post-Event: 05/06/2024, 05/07/2024, 05/09/2024, 05/15/2024, 05/21/2024 Time Zone: GMT (local crossing time of ~1:00 pm) Summary: This product is the apparent visible wavelength (AVW) of each pixel in a scene, approximating the overall color of the surface. It is calculated by taking the harmonic mean of surface reflectances from 350 nm to 895 nm, and can provide a sense of what has changed in the landscape by comparing several days against each other, as the change in apparent color of a surface often occurs under drastic circumstances. Dates covered include one pre-flood day (04/20/2024) and 5 flood days ending on 05/21/2024 at ~1:00 local time. AVW for each day is delivered, as is a % change from the pre-flood day to each of the 5 flood days afterward, showing the magnitude of color change in the area. Depending on the direction of change, one can infer the type of surface change from AVW. Typically, this metric is calculated from Rrs used for ocean color analyses (see https://doi.org/10.1016/j.rse.2020.111900), but can be made from surface reflectances and used over land as well. Suggested Use: Given that AVW is the apparent color of pixel, it can be used to track changes in land and water surfaces. The AVW value indicates average color reflected from a surface, e.g., healthy vegetation will have AVW in the NIR, water in the blues and greens, and turbid water in the reds. During flood days, the area around the Jacui River gets significantly redder (from previous NIR values), which can indicate turbid water supressing the typical vegetated signal in that area. Also, the Lagoa dos Patos gets significantly redder (from the greens), which indicates different conditions in the water (i.e., injection of sediment, which has average colors in the red). Images are typically displayed using the "Spectral" color map, with bounds from 400 - 700 (see attachment). For the percent change images, negative changes signify shorter average wavelengths (can be thought of as blue-shifting) and positive % changes are elongated average wavelengths (i.e., red-shifts). In other words, these shifting wavelengths tell us that some environmental change has caused the average color of a pixel to change. Users should note that pixels on the edges of masked clouds may see an elevated magnitude of percent change relative to neighboring non-cloud-edge pixels due to the adjacency effect. Satellite/Sensor/Resolution: Satellite: PACE, sensor: OCI, temporal resolution: daily, spatial resolution: gridded to 0.015 degrees from a Level 2 product in instrument swath (varying pixel size, 1.2 km at nadir). Credits: Credit: NASA PACE Team, POC: Skye Caplan, Link to data: https://search.earthdata.nasa.gov/search/granules?p=C3620139902-OB_CLOUD&pg[0][v]=f&pg[0][gsk]=-start_date&q=oci%20sfrefl Esri REST Endpoint: See URL to the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_pace_percchange/ImageServer/WMSServer

Date of Image: 4/27/2023 Summary ICEYE US Backscatter is derived from scaling factors provided with ICEYE Single Look Complex (SLC) and/or Ground Range Detected (GRD) products. In the SLC product all original sensor data is retained and offers full resolution in the azimuth and range directions. Data in the GRD product is oriented in the natural range-azimuth orientation and projected to the ground surface using an Earth ellipsoid mode and may be multi-looked to reduced speckle. The units for this product are decibels (dB). Resolution: Sub 1 meter. Credits NASA Disasters Program, Processing from MSFC, ICEYE US. For derived products: “Includes copyrighted material of ICEYE US. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program.

Dates of Images: Post-Event: 5/8/2024; 5/15/2024 Pre-Event: 4/6/2024; 4/21/2024 Summary: mNDWI: The Modified Normalized Difference Water Index (mNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas. Suggested Use: mNDWI: Areas of existing water, such as a rivers or lakes appear in the darkest green with high values near 1, while dry land appears in the darkest brown with low values near -1. This product can be used to identify potentially flooded areas that can be seen in varying shades of green and light brown depending on the amount of moisture picked up by the satellite. Note: Areas of cloud cover will show up in varying shades of green/blue similar to water. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI) Resolution: 30 meters Credits: NASA/MSFC, USGS Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_landsat_mndwi/ImageServer/WMSServer

This map layer will depict the groomed cross country ski trails available at commercial and public venues in Utah. The map layer is currently incomplete and includes trails from Mountain Dell golf course and Soldier Hollow, digitized from aerial photography in 2007. Trail features carry the trail name, the XC ski area they are within, and the length in meters. Trails are missing from: Brian Head, Eden Valley North Fork, Jeremy Ranch Park City Basin Rec/Round Valley, Park City White Pine, Snowbasin, and Sundance. Trails will be added by AGRC as received, or as staff time allows.

Date of Images: September 19, 2018; August 9, 2018 Summary: Scientists at NASA's Marshall Space Flight Center created these water extents using Landsat imagery. These images can be used to see where open water is visible at the time of the satellite overpass. This product shows all water detected and differentiates between normal water areas and some flooded areas. This product was classified using the ESA Worldview. It's important to note that all flooded areas may not be captured do to the sensors limitations of not being able to "see" through vegetation and buildings. To determine where additional flooding may have occurred, combine this layer with other data sets. Suggested Use: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classifications from CDL that appear to have water and are potentially flooded. Blue (1): Known Water Red (2): Flooded Developed Green (3): Flooded Vegetation Orange (4): Flooded Cropland/Grassland Gray (5): Clouds/Cloud Shadow (0): No Data Satellite/Sensor: Copernicus Sentinel-2 Resolution: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on the right side of page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_landsat_WaterExtent/MapServer/WMSServer

Section 305(b) of the Clean Water Act requires states to assess the condition of the Waters of the US. The Kentucky Division of Water, in cooperation with other agencies, collects biological and water quality data to assess the condition of the resource and reports this to Congress every two years in the Integrated Report to Congress. (https://www.water.ky.gov/sw/swmonitor/305b/) These data represent the assessment results for surface waters of the Commonwealth of Kentucky. Box Download: https://ky.box.com/v/energy-environment/file/850630980093

Line features representing linear hydrography such as rivers and streams in the United States, published by the US Census Bureau. Each feature is a labeled linear water feature, with columns for name, order number, and landmark names.

Labels for areal hydrography features in the United States, published by the US Census Bureau. Each feature represents an area of water and includes attributes such as name, coordinates, land area, and water area.

Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage

Dates of Images: Pre-Event: 04/20/2024 (pre-flood) Post-Event: 05/06/2024, 05/07/2024, 05/09/2024, 05/15/2024, 05/21/2024 Time Zone: GMT (local crossing time of ~1:00 pm) Summary: These are NDWI measurements from PACE OCI using surface reflectances from OCI's SFREFL suite of the 2024 flooding in Brazil. NDWI is a normalized band ratio using the green (555 nm) and NIR (860 nm) for water content detection (green - nir / green + nir). The images show how the flood developed from a pre-flood day (04/20/2024) to the proceeding flooded days (through 05/21/2024) at ~1:00 local time (the overpass of the instrument). The changing extent of the floodwaters, along with what looks to be the amount of suspended sediment, is especially clear against the background of vegetation. Users should take into account that these floodwaters were sediment-laden, and thus some of that signal may depress the water signal. However, the change in NDWI from the pre-flood day can be used to identify flood extent. Suggested Use: NDWI is a normalized band ratio measuring the presence of water. Higher positive values water surfaces, low positive values to ~0 indicates flooding or high humidity, and negative values mean non-aqueous or drought conditions. In these images, it is clear that the presence of water increases greatly around the Jacui River during flood days compared to the pre-flood day (04/20/2024), showing the transition of the area around the Jacui River from non-flooded conditions (low NDWI values) to flooded (higher NDWI). Clouds have been screened from these products. Satellite/Sensor/Resolution: Satellite: PACE, sensor: OCI Temporal resolution: daily Spatial resolution: gridded to 0.015 degrees from a Level 2 product in instrument swath (varying pixel size, 1.2 km at nadir). Credits: NASA PACE Team, POC: Skye Caplan, Link to data: https://search.earthdata.nasa.gov/search/granules?p=C3620139902-OB_CLOUD&pg[0][v]=f&pg[0][gsk]=-start_date&q=oci%20sfrefl Esri REST Endpoint: See URL to the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_pace_ndwi/ImageServer/WMSServer

Dates of Images: 5/5/2024, 5/6/2025, 5/15/2025 Background: MODIS Global Flood Product, MCDWD, showing flooding observed on 5/5, 5/6, and 5/15/2024 in Rio Grande do Sol, Brazil. Product is based on optical imagery from the MODIS sensor, on both Terra and Aqua spacecraft. Observation times are approximately 10:30 am and 1:30 pm local time; flood extents at other times may not be observed.  The 1-day composite product is delivered here; this uses observations from only the given date. For this event, 5/5/2024 was the first clear day after the weather system passed. By 5/15, substantial flood water was still visible.  Caveats: Flooding is determined by comparing observed water extent to a reference water map, which may be inaccurate in fine details; some "flood" may be expected surface water, and some "surface water" may actually be flood, but both indicate areas where water was detected. The 1-day product can be particularly susceptible to false-positives from cloud shadows, which often can look like water in the source data. This product looks reasonable with few such false-positives, but users are advised to review the optical imagery (Terra and Aqua) in Worldview to confirm (https://go.nasa.gov/globalflood). Worldview also hosts the 2- and 3-day composite products, but not the 1-day delivered here. At 250 m resolution, this product will also not reliably capture flood extents smaller than 250 m.  As this is optical imagery, flooding under clouds will not be detected. Suggested Use: Red in the displayed image indicates flood; blue indicates expected surface water. Satellite/Sensor/Resolution: Terra and Aqua satellites, MODIS sensor, daily 250m resolution data (~10:30 am local time observation for Terra, ~1:30 pm for Aqua) Credits: NRT MODIS/Aqua+Terra Global Flood Product MCDWD_L3_NRT distributed from NASA LANCE. Available online at: https://www.earthdata.nasa.gov/global-flood-product. doi:10.5067/MODIS/MCDWD_L3_NRT.061 Project website includes FAQs and contacts for support: https://www.earthdata.nasa.gov/global-flood-product Esri REST Endpoint: See URL to the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_modis_mcdwd/ImageServer/WMSServer

Date of Images: Syn-Event: 2024-09-26 23:38:04 (UTC) or 7:38 PM EDT Pre-Event: 2024-09-14 23:37:54 (UTC) or 7:38 PM EDT Summary: The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the surface water extent maps using the OPERA Dynamic Surface Water eXtent from Sentinel-1 (DSWx-S1) products. The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who want to have a rough first look at the water extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. OPERA DSWx-S1 The OPERA DSWx-S1 data identifies surface water and inundated vegetation. We provide the Water (WTR) and the Binary Water (BWTR) layers. Images are provided from 1) September 14, 2024 and 2) September 26, 2024. Each image consists of multiple MGRS tiles that were merged together for a composite image saved as a GeoTIFF file. ARIA/OPERA water change map derived from OPERA DSWx-S1 The ARIA/OPERA water change map is derived from two OPERA DSWx-S1 Binary Water (BWTR) images taken on September 14, 2024 and September 26, 2024. The BTWR combines inundated vegetation and open water into a single water class.These maps depict areas of new water detection (or loss). The change map includes values of: (0) indicate no change between images, (1) absence of water pre-event, presence of water syn-event, and (-1) presence of water pre-event, absence of water syn-event. Satellite/Sensor: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite was used for both the September 14 and September 26 images. Resolution: 30 meters The DSWx-S1 products have these flags: 250 (light gray) and 251 (dark gray) represent HAND and layover/shadow masks, respectively. HAND mask (light gray, value 250) delineates regions where the terrain's elevation exceeds a specified threshold relative to the height above the nearest drainage point, indicating areas less likely to be subject to direct inundation. Layover/shadow mask (dark gray, value 251) identifies zones that are either occluded by topographic features taller than the surrounding landscape (layover) or are not illuminated by the radar signal due to obstruction by these elevated features (shadow), leading to potential data voids in SAR imagery. OPERA DSWx-S1 data availability The post-processed products are available to download at https://aria-share.jpl.nasa.gov/20240926-Hurricane_Helene/DSWx/. The OPERA DSWx-S1 products have been in production since September 2024, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. For more information about the OPERA project and other products, visit https://www.jpl.nasa.gov/go/opera. For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/ Suggested Use DSWx-S1 The OPERA DSWx-S1 products classifies the OPERA Radiometric Terrain Corrected SAR backscatter from Sentinel-1 (RTC-S1) input imagery into: not water, water, and inundated vegetation with the masks such as layover/shadow mask and HAND mask. The WTR layer includes all classes. The BWTR layer merges water and inundated vegetation into a single water layer. Open water and inundated vegetation are represented in blue and green in WTR and blue in BWTR. Areas with masks are gray. The masks include the layover/shadow mask and HAND mask. Areas with no water detected are transparent. DSWx-S1 change map The ARIA/OPERA water extent change map classifies water extent into change/no change. Increased in water represented in blue, no change in water represented in transparent, decrease in water represented in red. RTC-S1 OPERA Radiometric Terrain Corrected SAR backscatter from Sentinel-1 (RTC-S1) image was converted to a false color image. In this color scale, vegetated areas appear green, urban areas appear white/pink, calm water appears black, and rough water appears purple or magenta.” Credits: Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2024), processed by the European Space Agency and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. NASA JPL-Caltech ARIA/OPERA Team ================== Files: 20240914_DSWx-S1_BWTR.tif: The September 14, 2024 binary water map is derived from the WTR layer as a union of water classes (open water and inundated vegetation) into a binary map indicating areas with and without water. 20240926_DSWx-S1_BWTR.tif: The September 26, 2024 binary water map. 20240926_DSWx-S1_WTR.tif: Masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water and inundated vegetation), masks (HAND mask and layover/shadow mask), or no data classes. OPERA_DSWx-S1_BWTR_ChngMap_20240926-20240914_v2.tif: The ARIA/OPERA flood change map is derived from two OPERA DSWx-HLS images taken on September 14, 2024 and September 26, 2024. These maps depict areas of new water detection that is interpreted as flood. Track121_Florida_DSWx-S1-overview.png: An overview of the 20240926_DSWx-S1_WTR product with a satellite image background. These files have the same GeoTIFF format as the OPERA DSWx-S1 images described above and are in the UTM Zone 16N.

Brampton Plan Watercourses include rivers, streams, creeks, and drainage channels that form part of Brampton's natural and hydrological systems. These features convey water across the landscape, provide important ecological functions, and contribute to flood management, environmental health, and natural heritage connectivity.  For more up-to-date data, refer to other open data sources on GeoHub. This data is intended to be used in conjuction with other related mapping layers for this schedule, and may be impacted by other schedules, with consideration to the text of Brampton Plan.

Upper Hutt's current District Plan Features. See Upper Hutt City Council's District Plan for more information.