La Cienega’s springs and wetlands are important hydrologic, ecologic and cultural resources, and provide many beneficial water-related functions. The wetlands discharge groundwater from regional and local aquifers that provide the sole water source for the southern Santa Fe region. We investigate the wetland system by examining the hydrologic interactions manifested in the wetland water balance.

https://www.reacchpna.org/sites/default/files/AR3_1.2.pdf Pixel classification: Classification, Stable, Dynamic, Unstable Urban, 1, 101, 202 Rangeland, 3, 103, 203 Forest, 4, 104, 204 Water, 5, 105, 205 Wetlands, 6, 106, 206 Barren, 7, 107, 207 Wilderness, 9, 109, 209 Annual, 11, 111, 211 Transition, 12, 112, 212 Grain-fallow, 13, 113, 213 Irrigated, 14, 114, 214 Orchard, 15, 115, 215 Agriculture, 50, 150, 250 Water and Other, 51, 151, 251

The Class VI Data Tool Geodatabase V1.0 is a geodatabase of spatial data layer representing geologic, geophysical, structural, hydrologic, and contextual data designed to help users find resources to support the initial development of an Environmental Protection Agency (EPA) Underground Injection Control (UIC) Class VI permit. The database was aggregated based on the data types identified within the EPA Class VI documentation (https://www.epa.gov/uic/class-vi-wells-used-geologic-sequestration-carbon-dioxide), and spatial data that is publicly available across the USA from resources such as the US Geologic Survey, State Geologic Surveys, and the US DOE NETL Energy Data eXchange. The database is structured by categories including rock unit geology, boundaries, national CS datasets, geophysical data, faults and structural data, infrastructure, surface hydrology, groundwater, and more. Three resources are included in this submission: 1. Geodatabase 2. ReadMe file 3. Catalog of data layers and additional data resources

Documents Related to the Clean Water Rule Internet Archive URL: https://web.archive.org/web/*/https://www.epa.gov/cleanwaterrule/documents-related-clean-water-rule

These nationally standardized, raster-based inventories cover coastal intertidal areas, wetlands, and adjacent uplands for the coastal U.S. Data are derived from the analysis of multiple dates of remotely sensed Landsat imagery. There are two types of files available: individual dates of land cover that supply a wall-to-wall map for each area, and change files that compare one date to another in order to highlight where and what type of land cover change occurred between those dates. These data products are updated every five years and are produced through documented, repeatable procedures using standardized data and methods to ensure consistency through time and across geographies. https://web.archive.org/web/*/https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional

The NMEDB is a publicly available application that consolidates New Mexico's environmental and public health data in an interactive map of the state. The NMEDB allows agencies, the public, private industry, and conservation practitioners to obtain a comprehensive view of what's happening on New Mexico's landscapes to enable data-driven decisions and minimize negative impacts to human health, plants, animals, land, air, and water.

The Freshwater Ecosystems Explorer is a free and easy to use data platform providingnaccurate, up-to-date, high-resolution geospatial data depicting the extent freshwater ecosystems change over time. By helping decision-makers understand dynamic ecosystem changes, the data presented on this open access platform is intended to drive action to protect and restore freshwater ecosystems and enable countries to track progress towards the achievement of Sustainable Development Goal Target 6.6.

The Global Lakes and Wetlands Database (GLWD) includes the best available data sources and GIS functionality for global lakes and wetlands focused on three scales (1) large lakes and reservoirs, (2) smaller water bodies, and (3) wetlands. The map scaless provided range from 1:1 to 1:3 million resolution. Level 1 (GLWD-1) comprises the 3,067 largest lakes (area ≥ 50 km2) and 654 largest reservoirs (storage capacity ≥ 0.5 km3) worldwide, and includes extensive attribute data. Level 2 (GLWD-2) comprises permanent open water bodies with a surface area ≥ 0.1 km2 excluding the water bodies contained in GLWD-1. Level 3 (GLWD-3) comprises lakes, reservoirs, rivers and different wetland types in the form of a global raster map at 30-second resolution.

The dataset contains two XRF images of iron and uranium distribution on plant roots and a database of XANES data used to produce XANES spectra figure for Figure 7 in the published paper. This dataset is associated with the following publication: Kaplan, D., R. Kukkadapu, J. Seaman, B. Arey, A. Dohnalkova, S. Buettner, D. Li, T. Varga, K. Scheckel, and P. Jaffe. Iron Mineralogy and Uranium-Binding Environment in the Rhizosphere of a Wetland Soil. D. Barcelo SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 569: 53-64, (2016).

Beginning in 2003, the New Mexico Bureau of Geology began a hydrogeological investigation of the Española Basin, with a special focus on the wetlands at La Cienega, Santa Fe County, New Mexico to better understand the inputs that support them (Johnson, 2009). The studies focused on linking the geology of the region and the groundwater flow to help understand the potential influences on the wetlands.

This page contains available Vermont land cover data in GIS format.

Measured and calculated volumes of wetland depressions. This dataset is associated with the following publication: Wu, Q., and C. Lane. Delineation and quantification of wetland depressions in the Prairie Pothole Region of North Dakota. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 36(2): 215-227, (2016).

Several natural and anthropogenic tracers have been used to evaluate groundwater residence time within a karstic limestone aquifer in southeastern New Mexico, USA. Natural groundwater discharge occurs in the lower Pecos Valley from a region of karst springs, wetlands and sinkhole lakes at Bitter Lake National Wildlife Refuge,on the northeast margin of the Roswell Artesian Basin. The springs and sinkholes are formed in gypsum bedrock that serves as a leaky confining unit for an artesian aquifer in the underlying San Andres limestone. Because wetlands on the Refuge provide habitat for threatened and endangered species, there is concern about the potential for contamination by anthropogenic activity in the aquifer recharge area. Estimates of the time required for groundwater to travel through the artesian aquifer vary widely because of uncertainties regarding karst conduit flow. A better understanding of groundwater residence time is required to make informed decisions about management of water resources and wildlife habitat at Bitter Lake. Results indicate that the artesian aquifer contains a significant component of water recharged within the last 10 to 50 years, combined with pre-modern groundwater originating from deeper underlying aquifers, some of which may be indirectly sourced from the high Sacramento Mountains to the west.

Lake hydrologic characteristics derived from water stable isotope values that include evaporation-to-inflow ratio and water residence time. This dataset is associated with the following publication: Fergus, E., J.R. Brooks, P. Kaufmann, A. Herlihy, A. Pollard, M. Weber, and S. Paulsen. Lake Water Levels and Associated Hydrologic Characteristics in the Conterminous U.S.. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(3): 450-471, (2020).

The goals of the New Mexico Wetlands Program are to protect and restore New Mexico’s remaining wetlands and riparian areas and to increase self-sustaining, naturally functioning wetlands areas so they continue to benefit New Mexico’s future.

NWCA 2011 Soil Chemistry Data. This dataset is associated with the following publication: Nahlik, A., and M.S. Fennessy. Carbon storage in US wetlands. Nature Communications. Nature Publishing Group, London, UK, 7: 1-9, (2016).

This dataset contains water quality data and associated site information including landuse/landcover descriptions for the 2011 NWCA wetland sites at which a water sample was successfully obtained. This dataset is associated with the following publication: Trebitz, A., J. Nestlerode, and A. Herlihy. USA-scale patterns in wetland water quality as determined from the 2011 National Wetland Condition Assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191(262): 24 p., (2019).

This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness. Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments. This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement. The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service. This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture (USDA) Agricultural Research Service.

This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness. Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments. This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement. The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service. This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture (USDA) Agricultural Research Service.

This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness. Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments. This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement. The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service. This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture (USDA) Agricultural Research Service.

Water levels in the karstic San Andres limestone aquifer of the Roswell Artesian Basin, New Mexico, display significant variations on a variety of time scales. Large seasonal fluctuations in hydraulic head are directly related to the irrigation cycle in the Artesian Basin, lower in summer months and higher in winter when less irrigation occurs. Longer-term variations are the result of both human and climatic factors. Since the inception of irrigated farming more than a century ago, over appropriation of water resources has caused water levels in the artesian aquifer to fall by as much as 230 ft (70 m). The general decline in hydraulic head began to reverse in the mid-1980s due to a variety of conservation measures, combined with a period of elevated rainfall toward the end of the twentieth century.

NWI data can be accessed in several ways depending on your needs. To display and query wetlands data in your software application please use our Web Map Services. This will ensure you have the latest data and reduce data management overhead. If you need to conduct GIS analysis please reference the information below to download the data by HUC watershed or by state. For downloads larger than a state, please contact the Wetlands Team to request a custom download.

Dataset 1: XRF image of U and Fe distribution Dataset 2: Fe linear combination fitting data. This dataset is associated with the following publication: Koster van Groos, P., D. Kaplan, H. Chang, J. Seaman, D. Li, A. Peacock, K. Scheckel , and P. Jaffe. Uranium fate in wetland mesocosms: Effects of plants at two iron loadings with different pH values. Jacob de Boer, and Shane Snyder CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 163: 116-124, (2016).

This dataset represents the DEC Wetlands Program's Advisory layer. This layer makes the most up-to-date, non-jurisdictional, wetlands mapping avaiable to the public and ANR staff. The wetland mapping has been completed by various consulting services for municipal and planning efforts and other State Agency.

Water stable isotope data (hydrogen and oxygen isotopes of H2O) from wetlands and streams within the Pipestem Creek watershed. This data was collected over two open water seasons (May-September): 2014 and 2015. This dataset is associated with the following publication: Brooks, J.R., D. Mushet, M. Vanderhoof, S. Leibowitz, J. Christensen, B. Neff, D. Rosenberry, W. Rugh, and L. Alexander. Estimating wetland connectivity to streams in the Prairie Pothole Region: an isotopic and remote sensing approach. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 54(2): 995-977, (2018).

This data are composed of precipitation, wetland water depth, volumetric soil moisture, nitrogen and carbon concentrations measured into and out of a wetland, and model computed soil moisture content as well as nitrogen and carbon loading from the wetland. The wetland is a restored treatment wetland, located in Kent Island, MD. This dataset is associated with the following publication: Sharifi, A., M. Hantush, and L. Kalin. Modeling Nitrogen and Carbon Dynamics in Wetland Soils and Water Using Mechanistic Wetland Model. Rao S. Govindaraju Journal of Hydrologic Engineering. American Society of Civil Engineers (ASCE), Reston, VA, USA, 22(1): 1-18, (2017).

Location and extent of Melbourne Water natural and constructed (man-made) wetlands and lakes. Captured using the Top Water Level (TWL) of each, includes wetland or lake name, asset section (for As Constructed drawings) and key attributes. Data set required to indicate the location and types of assets used for stormwater treatment (treatment and removal of pollutants from the stormwater system) and flow management (helping maintain the flow of water and reduce the impacts of floods), for ongoing condition monitoring, maintenance and hydrologic or vegetation analysis and to assist with the planning and design, construction of future stormwater management (WSUD) options.NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

This data set estimates large-scale wetland distributions and important wetland complexes, including areas of marsh, fen, peatland, and water.