Bear Lake provides a unique location to use bathymetric data to analyze the relationship between changing water surface elevations and the accessible spawning habitat for fish species. The spawning habitat for the prey species of Bear Lake consists of cobble which is present in the littoral zone of the lake. The littoral zone is classified as the area of the water column that has light penetration, sufficient for macrophytes to photosynthesis, to reach the sediment floor of the lake. The analysis was performed using ESRI’s ArcMap and Python coding to calculate, automate, and illustrate this relationship; and to provide a possible methodology for water and wildlife management to apply to their unique situations to make informed decisions in the future. This method is advantageous when analyzing present or future conditions because of its versatility to create hypothetical scenarios.

This resource is a proposal for a project for the USU CEE 6440, GIS in Water Resources class. The project deals with the use of GIS mapping and hydrologic data for use in outdoor recreation.

This document outlines some of the methods used by Geoscience Australia (GA) to symbolise the Geology and Hydrogeology map of Timor-Leste. It is designed to be used as a knowledge-sharing and educational tool by water resource management and geology technicians from Timor-Leste government agencies.

A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for the fourteen counties that are fully or partially within the Suwannee River Water Management District, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field trips that started in January 2020 and concluded in December 2020, and the crop type, irrigation system type, and primary water source used. A map image of the shapefile is provided. Previously published estimates of irrigation acreage for years since 1982 are included in summary tables.

This term project will use data collected by the EPA to show a list of water treatment facilities across the United States, what they use to treat their water and a risk assessment of how much chromium contamination could be possible from their water resources used in drinking water treatment.

The aerial photographs, taken on the 6th of February 1975 at a scale 1: 50 000, were obtained from the Survey of Kenya and were used to generate my original data.

This GIS layer consists of the geographic location of active and inactive public (Community, non-transient non-community and transient non-community) water sources labeled by the Water System Identification Number (WSID) and source number (i.e. WL001 or IN002). The water source data and locations are drawn from the State Drinking Water database (SDWIS). The water sources are wells, springs and surface water intakes that predate regulations developed in the 1970s to the present. SDWIS is the repository for state and federal information collected from and about each public water system in Vermont, including bulk and bottled water facilities along with water production and water quality data. "For information regarding attributes of Public Water Source feature layers, please download the:Public Water Sources Data Dictionary

A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for the 15 counties fully within the Northwest Florida Water Management District (Bay, Calhoun, Escambia, Franklin, Gadsden, Gulf, Holmes, Jackson, Leon, Liberty, Okaloosa, Santa Rosa, Wakulla, Walton, and Washington counties). These files were compiled through a cooperative project between the U.S. Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field surveying that started in May 2021 and concluded in August 2021. Field data collected were crop type, irrigation system type, and primary water source used. A map image of the shapefile is also provided. Previously published estimates of irrigation acreage for years since 1982 are included in summary tables.

NOTICE TO PROVISIONAL 2023 LAND USE DATA USERS: Please note that on December 6, 2024 the Department of Water Resources (DWR) published the Provisional 2023 Statewide Crop Mapping dataset. The link for the shapefile format of the data mistakenly linked to the wrong dataset. The link was updated with the appropriate data on January 27, 2025. If you downloaded the Provisional 2023 Statewide Crop Mapping dataset in shapefile format between December 6, 2024 and January 27, we encourage you to redownload the data. The Map Service and Geodatabase formats were correct as posted on December 06, 2024.

Thank you for your interest in DWR land use datasets.

The California Department of Water Resources (DWR) has been collecting land use data throughout the state and using it to develop agricultural water use estimates for statewide and regional planning purposes, including water use projections, water use efficiency evaluations, groundwater model developments, climate change mitigation and adaptations, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliances, environmental impacts, ecosystem services, urban and economic development, and other issues. Increased availability of digital satellite imagery, aerial photography, and new analytical tools make remote sensing-based land use surveys possible at a field scale that is comparable to that of DWR’s historical on the ground field surveys. Current technologies allow accurate large-scale crop and land use identifications to be performed at desired time increments and make possible more frequent and comprehensive statewide land use information. Responding to this need, DWR sought expertise and support for identifying crop types and other land uses and quantifying crop acreages statewide using remotely sensed imagery and associated analytical techniques. Currently, Statewide Crop Maps are available for the Water Years 2014, 2016, 2018- 2022 and PROVISIONALLY for 2023.

Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer.

For Regional Land Use Surveys follow: https://data.cnra.ca.gov/dataset/region-land-use-surveys.

For County Land Use Surveys follow: https://data.cnra.ca.gov/dataset/county-land-use-surveys.

For a collection of ArcGIS Web Applications that provide information on the DWR Land Use Program and our data products in various formats, visit the DWR Land Use Gallery: https://storymaps.arcgis.com/collections/dd14ceff7d754e85ab9c7ec84fb8790a.

Recommended citation for DWR land use data: California Department of Water Resources. (Water Year for the data). Statewide Crop Mapping—California Natural Resources Agency Open Data. Retrieved “Month Day, YEAR,” from https://data.cnra.ca.gov/dataset/statewide-crop-mapping.

This dataset provides monthly global land surface water mapping using water indices derived from Earth observation satellite data. It was generated using imagery from two satellite missions, Landsat-8 and Sentinel-2. The dataset includes three water indices: Normalized Difference Water Index (NDWI2), Modified Normalized Difference Water Index (MNDWI), and Water Index 2015 (WI2015).

A pixel was classified as water if the average index value within each month exceeded 0, and as non-water otherwise. The dataset has a spatial resolution of 300 m, covering the period from January 2019 to December 2021. Each dataset is provided in GeoTIFF format, which can be visualized and analyzed using GIS software. This dataset can be used for hydrological studies, flood monitoring, and water resource management.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP449), Irrigation Water Management Recovery (IWM) on agricultural land by county. Irrigation Water Management Recovery is described as "the process of determining and controlling the volume, frequency, and application rate of irrigation water in a planned, efficient manner.to promote [a] desired crop response." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which IWM's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

Due to the on-going decline of the alluvial aquifer and the lack of available excess surface water for irrigation diversions in the Cache River critical groundwater area (CRCGA), future resource allocation decisions made in the region will benefit from specific, detailed assessments conducted at the sub-watershed level. Assessments of available water and land resources can be used to identify and prioritize potential sites for conjunctive use projects such as on-farm irrigation reservoirs and in-stream weirs. These can then be integrated with agronomic-irrigation practices to devise different management practice scenarios with the ultimate goal of reducing groundwater withdrawals. To this end, multiple publicly-available geo-referenced spatial data sets for the region were analyzed, including aerial and satellite imagery in visible and near-infrared bands, annual crop type and yields, soils, elevation, along with stream reaches from the National Hydrography Dataset. With this data, possible locations for weirs, reservoirs, and conservation practices were identified. The targeted locations for weirs were related to straight length and slope of a stream reach, and those for reservoirs and conservation set-asides could be related to areas of low productivity and/ or low elevation, poorly draining soils, etc. An interesting result of the assessment that highlights the need for such work was that the subwatersheds over the center of the aquifer cone of depression were also in the headwaters of the L’Anguille River. Streams in these subwatersheds may be too small to support weirs, and thus farmers in the area would have to rely solely on irrigation conservation measures and on-farm storage reservoirs to capture rainfall and field runoff to reduce groundwater withdrawals.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/

The hydrological software market, currently valued at $733 million in 2025, is projected to experience robust growth, driven by increasing demand for accurate and efficient water resource management solutions. The rising frequency and intensity of extreme weather events, coupled with growing concerns over water scarcity and pollution, are compelling governments and organizations to adopt sophisticated hydrological modeling tools. This market expansion is further fueled by advancements in technology, such as cloud computing and AI, which are enhancing the capabilities and accessibility of hydrological software. The integration of these technologies allows for more detailed simulations, better predictions of hydrological events, and improved decision-making processes. Key players like Gardenia, GeoHECHMS, and MIKE SHE are actively shaping this landscape through continuous innovation and strategic partnerships. The market is segmented based on software type (e.g., 2D/3D modeling, GIS integration), application (e.g., flood forecasting, water quality management), and user type (e.g., government agencies, consulting firms). The global nature of water resource challenges ensures that the market will witness significant growth across various regions, with North America and Europe anticipated to hold substantial market shares due to existing infrastructure and regulatory frameworks. Continued technological advancements, coupled with rising awareness of water resource management, will likely propel the CAGR of 8.1% throughout the forecast period (2025-2033). The competitive landscape is marked by a mix of established players and emerging technology providers. Established players leverage their extensive experience and comprehensive product portfolios to maintain market share. However, emerging companies are introducing innovative solutions and disrupting the market with advanced functionalities and cost-effective solutions. Future growth will hinge on the continued development of user-friendly interfaces, integration with other data sources, and the ability to effectively address the specific hydrological challenges of diverse geographic locations. The ongoing development of more sophisticated algorithms and the increasing availability of high-resolution data will further enhance the accuracy and reliability of hydrological models, solidifying the market's long-term growth trajectory. A focus on data security and user training will be crucial for wider adoption and market penetration.

These data represent digital GIS sinkhole coverage for all of Kentucky. The highest elevation, closed, topographic contour of each mapped sinkhole was digitized as a GIS polygon. The second highest elevation contour was also digitized where very large, shallow, karst valleys were so expansive that the area covered by the polygon obscured patterns in sinkhole distribution. These karst valleys are mostly confined to the Western Pennyroyal. The spacing of contour intervals on the topographic maps of the state vary in from 40 foot to 10 foot. No attempt was made to use a constant elevation, standardize the outline to a uniform contour interval, or record the elevation of the digitized contour. Digitization was done onscreen using digital raster graphic files of the 7 ½ minute topographic contours, registered and projected to the Kentucky State Plane coordinate system.

The Department of Water Resources has developed a web-based application to assist in water management planning efforts. The Water Management Planning Tool is an interactive map application that allows users to overlay numerous Geographic Information Systems (GIS) layers onto a map of California, and allows for those GIS layers to be toggled on and off and compared. These boundaries are not definitive and do not establish legal rights or define legal boundaries. Each planning layer includes a brief description and a location or source where the user can find additional information regarding that layer. To access these descriptions, please click on the options button next to each of the layers and select “description”. The Water Management Planning Tool is intended to assist local agencies with their responsibilities related to the California Water Plan, Integrated Regional Water Management, and the Sustainable Groundwater Management Act and as an informational tool for all interested parties.

Water Related Land Use (1989 to 1999) consists entirely of data generated from the "Slide Transfer Method" and there is no irrigation type recorded in the attributes. This layer was combined from multiple basin layers to create the most recent state wide layer which is still completely comprised of the "Slide Transfer Method". When using multiple layers from these combined year state wide layers, please take care to verify that you do not duplicate data in certain basins due to how these layers have been generated.

This is a point feature class of environmental monitoring stations maintained in the California Department of Water Resources’ (hereafter the Department) Water Data Library Database (WDL) for discrete “grab” water quality sampling stations. The WDL database contains DWR-collected, current and historical, chemical and physical parameters found in drinking water, groundwater, and surface waters throughout the state. This dataset is comprised of a Stations point feature class and a related “Period of Record by Station and Parameter” table. The Stations point feature class contains basic information about each station including station name, station type, latitude, longitude, and the dates of the first and last sample collection events on record. The related Period of Record Table contains the list of parameters (i.e. chemical analyte or physical parameter) collected at each station along with the start date and end date (period of record) for each parameter and the number of data points collected. The Lab and Field results data associated with this discrete grab water quality stations dataset can be accessed from the California Natural Resources Agencies Open Data Platform at https://data.cnra.ca.gov/dataset/water-quality-data or from DWR’s Water Data Library web application at https://wdl.water.ca.gov/waterdatalibrary/index.cfm.

This dataset represents a water shortage vulnerability analysis performed by DWR using modified PLSS sections pulled from the Well Completion Report PLSS Section Summaries. The attribute table includes water shortage vulnerability indicators and scores from an analysis done by CA Department of Water Resources, joined to modified PLSS sections. Several relevant summary statistics from the Well Completion Reports are included in this table as well. This data is from the 2024 analysis.

Water Code Division 6 Part 2.55 Section 8 Chapter 10 (Assembly Bill 1668) effectively requires California Department of Water Resources (DWR), in consultation with other agencies and an advisory group, to identify small water suppliers and “rural communities” that are at risk of drought and water shortage. Following legislation passed in 2021 and signed by Governor Gavin Newsom, the Water Code Division 6, Section 10609.50 through 10609.80 (Senate Bill 552 of 2021) effectively requires the California Department of Water Resources to update the scoring and tool periodically in partnership with the State Water Board and other state agencies. This document describes the indicators, datasets, and methods used to construct this deliverable.  This is a statewide effort to systematically and holistically consider water shortage vulnerability statewide of rural communities, focusing on domestic wells and state small water systems serving between 4 and 14 connections. The indicators and scoring methodology will be revised as better data become available and stake-holders evaluate the performance of the indicators, datasets used, and aggregation and ranking method used to aggregate and rank vulnerability scores. Additionally, the scoring system should be adaptive, meaning that our understanding of what contributes to risk and vulnerability of drought and water shortage may evolve. This understanding may especially be informed by experiences gained while navigating responses to future droughts.”

A spatial analysis was performed on the 2020 Census Block Groups, modified PLSS sections, and small water system service areas using a variety of input datasets related to drought vulnerability and water shortage risk and vulnerability. These indicator values were subsequently rescaled and summed for a final vulnerability score for the sections and small water system service areas. The 2020 Census Block Groups were joined with ACS data to represent the social vulnerability of communities, which is relevant to drought risk tolerance and resources. These three feature datasets contain the units of analysis (modified PLSS sections, block groups, small water systems service areas) with the model indicators for vulnerability in the attribute table. Model indicators are calculated for each unit of analysis according to the Vulnerability Scoring documents provided by Julia Ekstrom (Division of Regional Assistance).

All three feature classes are DWR analysis zones that are based off existing GIS datasets. The spatial data for the sections feature class is extracted from the Well Completion Reports PLSS sections to be aligned with the work and analysis that SGMA is doing. These are not true PLSS sections, but a version of the projected section lines in areas where there are gaps in PLSS. The spatial data for the Census block group feature class is downloaded from the Census. ACS (American Communities Survey) data is joined by block group, and statistics calculated by DWR have been added to the attribute table. The spatial data for the small water systems feature class was extracted from the State Water Resources Control Board (SWRCB) SABL dataset, using a definition query to filter for active water systems with 3000 connections or less. None of these datasets are intended to be the authoritative datasets for representing PLSS sections, Census block groups, or water service areas. The spatial data of these feature classes is used as units of analysis for the spatial analysis performed by DWR.

These datasets are intended to be authoritative datasets of the scoring tools required from DWR according to Senate Bill 552. Please refer to the Drought and Water Shortage Vulnerability Scoring: California's Domestic Wells and State Smalls Systems documentation for more information on indicators and scoring. These estimated indicator scores may sometimes be calculated in several different ways, or may have been calculated from data that has since be updated. Counts of domestic wells may be calculated in different ways. In order to align with DWR SGMO's (State Groundwater Management Office) California Groundwater Live dashboards, domestic wells were calculated using the same query. This includes all domestic wells in the Well Completion Reports dataset that are completed after 12/31/1976, and have a 'RecordType' of 'WellCompletion/New/Production or Monitoring/NA'.

Please refer to the Well Completion Reports metadata for more information. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.4, dated September 14, 2022. DWR makes no warranties or guarantees — either expressed or implied— as to the completeness, accuracy, or correctness of the data.

DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.