December 2019

Massachusetts water features, including lakes, ponds, rivers, streams and wetlands. From USGS hydrography. For full metadata and links to download free data please visit https://www.mass.gov/info-details/massgis-data-massdep-hydrography-125000.

The Massachusetts Division of Fisheries and Wildlife (MassWildlife) has mapped bathymetry (measures of water depth) at a scale of 1:10,000 for some inland water lakes and ponds in Massachusetts. The data were gathered on boats by a GPS/depth sounder. The data samples were then extrapolated to form contour lines. The Massachusetts Department of Environmental Protection provided sounding data gathered during water quality surveys to augment MassWildlife's data for a small number of water bodies.This tile service contains the linework labeled in feet below the surface and imagery depicting water depth with a dark-to-light-blue color ramp.See full metadata.

Each year, MassWildlife stocks brook, brown, rainbow, and tiger trout in over 450 lakes, ponds, rivers, and streams in 264 towns across Massachusetts! Fall stocking is complete. Stocking locations are shown on the map and table below.

MassWildlife bathymetry contour lines for many lakes and ponds with public access in the Commonwealth of Massachusetts. The Massachusetts Division of Fisheries and Wildlife (MassWildlife) has mapped bathymetry (measures of water depth) at a scale of 1:10,000 for some inland water lakes and ponds in Massachusetts. The data were gathered on boats by a GPS/depth sounder. The data samples were then extrapolated to form contour lines and a depth surface. The Massachusetts Department of Environmental Protection provided sounding data gathered during water quality surveys to augment MassWildlife's data for a small number of water bodies. See full metadata. Map service also available.

December 2024

Public boat and canoe launch sites at more than 280 coastal and inland lakes, ponds, rivers and streams within the Commonwealth of Massachusetts, from the Office of Fishing and Boating Access (OFBA) in the Massachusetts Department of Fish and Game (DFG). The OFBA is charged with providing access to these many waterways. Presently, the agency oversees boat and canoe launch sites at more than 250 coastal and inland locations in Massachusetts, which are included in this map service from MassGIS.The principal source for this data in this map service has been the Public Access to the Waters of Massachusetts, published by the OFBA. Additional sites have been digitized from USGS topographic quadrangles.Also see metadata and the web feature service.

Arcview GIS containing a regolith-landfrom map with associated site database. Most sites have a field photograph hot linked into the GIS. Complementary datasets include, digital elevation model and enhanced Landsat TM imagery.

Public boat and canoe launch sites at more than 280 coastal and inland lakes, ponds, rivers and streams within the Commonwealth of Massachusetts, from the Office of Fishing and Boating Access (OFBA) in the Massachusetts Department of Fish and Game (DFG). The OFBA is charged with providing access to these many waterways. Presently, the agency oversees boat and canoe launch sites at more than 250 coastal and inland locations in Massachusetts, which are included in this feature service from MassGIS.The principal source for this data in this map service has been the Public Access to the Waters of Massachusetts, published by the OFBA. Additional sites have been digitized from USGS topographic quadrangles.Also see metadata and the web map service.

The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.

This data set describes sea floor characteristics for the Western Massachusetts Bay. This data set was created using sidescan-sonar imagery, photography, and sediment samples.

Under Section 303(d) of the Clean Water Act, Massachusetts has developed a list of bodies of water (Lakes, streams, tributaries, and estuaries included that are defined as impaired by the Environmental Protections Agency (threatened are affected by one or more pollutants). Bodies of water that do not meet water quality standards after point source pollution controls are installed will remain on this list. This data set contains 4 layers: Impaired lakes, Impaired streams, Impaired waters program projects, and BMPs (Best Management Practices)

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

This dataset provides an annual time series of Landsat green surface reflectance and the derived annual trend during the growing season (June and July) for 472,890 lakes across the ABoVE Extended Study Domain from 1984 to 2019. The reflectance data are from Landsat-5, Landsat-7, and Landsat-8 sensors for the green band (center wavelength 560 nm). Over 270,000 Landsat scenes were evaluated and quality assured to be cloud-free and over water. Lakes were selected from HydroLAKES, a global database of lakes of at least 10 ha. Lake surface reflectance was extracted from a 3-by-3-pixel area centered on each lake centroid from the selected Landsat scenes determined from lake polygons. This dataset demonstrates changes in lake color over time in the arctic and boreal regions of North America. Color is relevant for understanding physical, ecological, and biogeochemical processes in some of the world’s highest concentrations of lakes where climate change may have significant impacts.

Data identifying landscape areas (shown as polygons) attributed with geological names. The scale of the data is 1:25 000 scale. Onshore coverage is partial and BGS has no intention to create a national coverage at this scale. Areas covered are essentially special areas of 'classic' geology and include Llandovery (central Wales), Coniston (Lake District) and Cuillan Hills (Isle of Skye). Mass movement describes areas where deposits have moved down slope under gravity to form landslips. These landslips can affect bedrock, superficial or artificial ground. Another batch of tiles was added to the data in 2012 to bring the total to 167 for this version 2 release. Mass movement deposits are described in the BGS Rock Classification Scheme Volume 4. However the data also includes foundered strata, where ground has collapsed due to subsidence (this is not described in the Rock Classification Scheme). Caution should be exercised with this data; whilst mass movement events are recorded in the data due to the dynamic nature of occurrence significant changes may have occurred since the data was released. The data should therefore be regarded as a snapshot in time (as at 2008). The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence. Another batch of tiles was added to the data in 2012 to bring the total to 167 for this version 2 release.

The MassDEP Division of Watershed Management (DWM), Watershed Planning Program (WPP) 2012 Integrated List of Waters (305(b)/303(d)) data layer represents the combined reporting elements for the 2012 cycle of both sections 305(b) and 303(d) of the Federal Clean Water Act (CWA). The objective of this statute is to restore and maintain the chemical, physical, and biological integrity of the Nation's waters. As one step toward meeting this goal each state must administer a program to monitor and assess the quality of its surface waters and provide periodic status reports to the U.S. Environmental Protection Agency (EPA), the U.S. Congress, and the public.Section 305(b) of the CWA codifies the process whereby waters are evaluated with respect to their capacity to support designated uses as defined in the Massachusetts Surface Water Quality Standards. These uses include aquatic life, fish consumption, drinking water, shellfish harvesting, primary (e.g., swimming) and secondary (e.g., boating) contact-recreation, and aesthetics. The 305(b) process entails assessing each of these uses, where applicable, for rivers, lakes and coastal waters. Where possible, causes and sources of use impairment are also identified. Once a water body is identified as impaired by a pollutant, MassDEP is required under Section 303(d) of the CWA, and the implementing regulations at 40 CFR 130.7, to develop a pollutant budget designed to restore the health of the impaired water body. The process of developing this pollutant budget, generally referred to as a Total Maximum Daily Load (TMDL), includes identifying the cause (type of pollutant) and source (where the pollutant comes from), determining how much of the pollutant is from direct discharges (point sources) or indirect discharges (non-point sources), determining the maximum amount of the pollutant that can be discharged to a specific water body to meet water quality standards, and developing a plan to meet that goal. In short a TMDL is a clean-up plan that is required under the CWA to restore water quality and enable waters to attain designated uses.The 2012 Integrated List of Waters (305(b)/303(d)) data layer is the spatial representation of the river, lake, and estuary segments assessed and summarized in the Massachusetts Year 2012 Integrated List of Waters report to the EPA developed pursuant to sections 305(b) ("Water Quality Inventory") and 303(d) of the Federal Clean Water Act.More details...Map service also available.

This MassDEP Hydrography layer is an enhanced version of the older U.S. Geological survey 1:25,000 Hydrography datalayer. It represents hydrographic (water-related) features, including surface water (lakes, ponds, and reservoirs), wetlands, bogs, flats, rivers, streams, and others.The layer is a hybrid of data based on USGS Digital Line Graphs (DLGs), scanned mylar separates obtained from the USGS, digitized hydrographic features from paper USGS 1:25,000 Topographic Quadrangle maps and data extracted from the MassDEP Wetlands datalayer. Areas within many surface water supply watersheds have been enhanced by using higher resolution streams and lakes from the MassDEP Wetlands datalayer, many areas have also been field verified.See full metadataMap service is also available.

Surface melting and the evolution of the surface hydrological system on Antarctica ice shelves modulate the ice sheet mass balance. Despite its importance, limitations still exist that preclude the scientific community from mapping the spatio-temporal evolution of the surface hydrological system at the required resolutions to make the necessary leap forward to address the current and future evolution of ice shelves in Antarctica (Kingslake et al., 2019). Differently from Greenland, surface melting in Antarctica does not exhibit a dependency from elevation, with most of it occurring over ice shelves, at the sea level and where little elevation gradients exist. Therefore, statistical downscaling techniques using digital elevation models - as in the case of Greenland or other mountain regions - cannot be used. Machine learning (ML) tools can help in this regard. In this project, we address this issue and propose a novel method to map the spatio-temporal evolution of surface meltwater in Antarctica on a daily basis at high spatial (30 - 100 m) resolution using a combination of remote sensing, numerical modeling and machine learning. The final product of this project will consist of daily maps of surface meltwater at resolutions of the order of 100 m for the period 2000 - 2021 that will satisfy the following constraints: a) to be physically consistent with the model prediction and with the underlying governing dynamics for the melt processes; b) to capture the temporal dynamics of the model predictions, which include the temporal sequence of a set of past time steps which lead to the target prediction time, but could also include model predictions valid for a set of future time steps; c) to reconcile the higher spatial resolution of the input satellite measurements with the lower spatial resolution of the numerical model; d) to be consistent with previously generated surface melt products, so that temporal time series can be analyzed; e) to provide a measure of uncertainty to help with testing and validation.