The 250m water mask product utilizes the SWBD (SRTM Water Body Data) and complement it with information from 250m MODIS data to create a complete representation of global surface water. The original intent of this product is not for hydrologic modeling, rather for masking water in products.

The MOD44W Version 6 data product was decommissioned on July 18, 2024. Users are encouraged to use the MOD44W Version 6.1 data product (https://doi.org/10.5067/MODIS/MOD44W.061).The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land Water Mask (MOD44W) Version 6 data product provides a global map of surface water at 250 meter (m) spatial resolution. The data are available annually from 2000 to 2015. MOD44W Version 6 is derived using a decision tree classifier trained with MODIS data and validated with the Version 5 MOD44W data product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover in oceans. A primary improvement in Version 6 is the generation of time series data rather than a simple static representation of water, given that water bodies fluctuate in size and location over time due to both natural and anthropogenic causes. Provided in each MOD44W Version 6 Hierarchical Data Format 4 (HDF4) file are layers for land, water, no data, and an associated per pixel quality assurance (QA) layer that provides users with information on the determination of water. Known Issues The mask area for pixels outside of the Sinusoidal Grid for tile h27v14 should be labeled as 250 (Outside of Projection) instead of 0 (Land) and the QA values should be 10 (Fill) instead of 3 (Lower confidence land) for years 2000 through 2015. Additional known issues are described in the User Guide and ATBD. For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.Improvements/Changes from Previous Versions Corrected for errors of many misplaced rivers in South America due to limited spatial resolution of previously used input data. Improved data in the far northern latitudes. Water extent provided as a time series that can be used to detect changes between 2000 and 2015. Increased spatial resolution of 250 m. The Version 5 product was 500 m. Improved terrain shadows with slope and elevation masking.* Burned areas (scars) delineated.

The SWOT Level 2 Water Mask Raster Image 100m Data Product from the Surface Water Ocean Topography (SWOT) mission provides global surface water elevation and inundation extent derived from high rate (HR) measurements from the Ka-band Radar Interferometer (KaRIn) on SWOT. SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025.\r Water surface elevation, area, water fraction, backscatter, geophysical information are provided in geographically fixed scenes at 100 meter horizontal resolution in Universal Transverse Mercator (UTM) projection. Available in netCDF-4 file format. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats.Please note that this collection contains SWOT Version C science data products.This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_2.0

The MOD44W V6 land/water mask 250m product is derived using a decision tree classifier trained with MODIS data and validated with the MOD44W V5 product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover in oceans.

Auxiliary information for pixel cloud product indicating to which water bodies the pixels are assigned in river and lake products. Also includes height-constrained pixel geolocation after reach- or lake-scale averaging. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.

The MODIS Land Water Mask is created from MODIS 250 m imagery incombination with Shuttle Radar Topography Mission (SRTM) Water Body Data (SWBD) tocreate a global map of surface water at 250 m spatial resolution. Currently, only one mapexists, created in 2009 by Carroll et al. (2009). Because only one MODIS-based map exists,an analysis of surface water change is not possible at this time.

The dataset is composed of 490 images and their labelled ground truth, which consists of binary masks where zero is assigned to the background pixels and one to the water pixels. You can get the full dataset of 11900 images with their mask at the following link: https://drive.google.com/file/d/1Tm0p7XLzpLlXycSxxu2X7WENTYHh97qC/view?usp=sharing

This personal geodatabase contains land and water masks (as rasters and polygons) for the remotely sensed data. It also contains a polygon feature class named: Spatial_Extent_Remote_Sensing_Data, which denotes the outer boundaries of all of the remote sensing data. All of these masks were derived directly from the remotely sensed imagery using geoprocessing functionality in ArcGIS 9.1.

This data set contains the ISLSCP II fixed land/water masks and percentages of land or water in each cell. There are seven zip data files: four produced from a 1-km land/water mask compiled at the Jet Propulsion Laboratory (JPL) in support of NASA's Earth Observing System; two files of a land outline overlay created from the land/water mask files created at NASA's Goddard Space Flight Center; and one file which is a latitude grid coordinate file and longitude grid coordinate file produced by the ISLSCP II staff. All of these data are provided at three spatial resolutions of .25, 0.5 and 1-degree in latitude and longitude and on a common Earth grid.

The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land Water Mask (MOD44W) Version 6.1 data product provides a global map of surface water at 250 meter (m) spatial resolution. The data are available annually from 2000 to present. MOD44W Version 6.1 is derived using a decision tree classifier trained with MODIS data and validated with the Version 5 MOD44W data product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover in oceans. Version 6.1 is the generation of a time series rather than a simple static representation of water, given that water bodies fluctuate in size and _location over time due to both natural and anthropogenic causes. Provided in each MOD44W Version 6.1 Hierarchical Data Format 4 (HDF4) file are layers for land water mask and water body classification. A quality assurance (QA) layer provides users with information on the determination of water. The new seven class water classification layer provides values for shallow ocean, land, shoreline, inland water, ephemeral water, deep inland water, moderate ocean, deep ocean, and a classification deemed to fall outside of the projection.Known Issues The seven_class SDS layer legend for classes 4 and 5 are incorrectly listed as Deep Inland Water and Ephemeral Water in the data for the entire mission period. Users are requested to follow the legend provided in the User Guide. For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.Improvements/Changes from Previous Versions Additional data files will be produced annually and are scheduled for distribution in the first quarter of the calendar year. * Seven-class water body classification layer produced at 250 meter resolution is provided in tiled format. For Collection 6.1 and beyond, Antarctica data are now being produced.

This is a multi-date water mask image. It represents the number of images in the time series classified as water using the Landsat based water index. This index was developed using Canonical Variates Analysis (CVA) of visually identified water and non-water signatures in radiometrically calibrated Queensland wide Landsat imagery. The index is a linear combination of bands, Log transformations of bands and interactive band terms.; ; Unsigned 8 bit; Band 1 = number of dates classified as water; ; Reference:; Danaher, TJ & Collett, L (2006). Development, optimisation, and multi-temporal application of a simple Landsat based Water Index. In: Proceedings of the 13th Australasian Remote Sensing and Photogrammetry Conference, Canberra, Australia.

This dataset contains water mask data created using Sentinel-1 data.

This data layer represents all surface water features in the United States. This grid was created by combining water features identified in two sources, the 2019 National Land Cover Database (NLCD), and the National Hydrography Dataset (NHD Plus version 2.1). First, the surface water features were extracted from the 2019 NLCD produced by the Multi-Resolution Land Characteristics Consortium. Features included are 'Open Water' (code 11), 'Woody Wetlands' (code 90) and 'Emergent Herbaceous Wetlands' (code 95).The second source used was the flowline and waterbody features as represented in the catseed grid from the NHD Plus version 2.1. The combination of these two datasets represents surface water and is referred to as the 'Water Mask.' This dataset was produced by the US EPA to support research and online mapping activities related to the Watershed Index Online (WSIO) and EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset provides 1) a conservative open water mask for future water surface elevation (WSE) extraction from the co-registered AirSWOT Ka-band interferometry data, and 2) high-resolution (1 m) water body distribution maps for water bodies greater than 40 m2 along the NASA Arctic-Boreal Vulnerability Experiment (ABoVE) foundational flight lines. The masks and maps were derived from georeferenced three-band orthomosaics generated from individual images collected during the flights and a semi-automated water classification algorithm based on the Normalized Difference Water Index (NDWI). In total, 3,167 km2 of open water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude. Detected water body sizes range from 40 m2 to 15 km2. The image tiles were georeferenced using manually selected ground control points (GCPs). Comparison with manually digitized open water boundaries yields an overall open-water classification accuracy of 98.0%.

The Global Water Mask uses the SWBD (SRTM Water Body Data) in combination with MODIS 250m data to create a complete global map of surface water at 250m spatial resolution, circa 2000-2002. This dataset is intended for use in processing of raster data and for masking out water in final …

Point cloud of water mask pixels (“pixel cloud”) with geolocated heights, backscatter, geophysical fields, and flags. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.Please note that this collection contains SWOT Version C science data products.

This dataset provides 1) a conservative open water mask for future water surface elevation (WSE) extraction from the co-registered AirSWOT Ka-band interferometry data, and 2) high-resolution (1 m) water body distribution maps for water bodies greater than 40 m2 along the NASA Arctic-Boreal Vulnerability Experiment (ABoVE) foundational flight lines. The masks and maps were derived from georeferenced three-band orthomosaics generated from individual images collected during the flights and a semi-automated water classification algorithm based on the Normalized Difference Water Index (NDWI). In total, 3,167 km2 of open water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude. Detected water body sizes range from 40 m2 to 15 km2. The image tiles were georeferenced using manually selected ground control points (GCPs). Comparison with manually digitized open water boundaries yields an overall open-water classification accuracy of 98.0%.

Abstract

This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.

Cartographic masks for map products GAL group 2 products, used for clear annotation and masking unwanted features from report maps.

Dataset History

A shapefile was created for the use of masking data to highlight text.

Method:

\* A new polygon shapefile was created with no content

\* The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text.

\* ArcMAP's Advanced Drawing Option was then used to mask data behind text.

Dataset Citation

Bioregional Assessment Programme (2015) Cartographic masks for water level trend map products GAL213. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/c714da92-0434-423d-85d0-f48242825fb9.

Mask for open water surfaces used in fate calculations

Rasterized water surface elevation and inundation extent in geographically fixed tiles at resolutions of 100 m and 250 m in a Universal Transverse Mercator projection grid. Provides rasters with water surface elevation, area, water fraction, backscatter, geophysical information. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats. Gridded scene (approx 128x128 km2, georeferenced); full swath. Available in netCDF-4 file format.