Global GIS data

This Collection provides Sentinel-5P Level-2 O3 TCL products, which contains high-resolution imagery of tropospheric ozone concentrations.

This Collection provides Sentinel-5P Level-2 O3 TCL products, which contains high-resolution imagery of tropospheric ozone concentrations.

This Collection provides Sentinel-5P Level-2 O3 products, which contains high-resolution imagery of total column ozone concentrations.

This Collection provides Sentinel-5P Level-2 O3 products, which contains high-resolution imagery of total column ozone concentrations.

Tararua Wastewater Pumps sourced from the RAMM Asset Management System. Data maintained by the Tararua Alliance.

Time series of annual global maps of land use and land cover (LULC). It currently has data from 2017-2023. The maps are derived from ESA Sentinel-2 imagery at 10m resolution. Each map is a composite of LULC predictions for 9 classes throughout the year in order to generate a representative snapshot of each year. This dataset, produced by Impact Observatory, Microsoft, and Esri, displays a global map of land use and land cover (LULC) derived from ESA Sentinel-2 imagery at 10 meter resolution for the years 2017 - 2023. Each map is a composite of LULC predictions for 9 classes throughout the year in order to generate a representative snapshot of each year. This dataset was generated by Impact Observatory, which used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. Each global map was produced by applying this model to the Sentinel-2 annual scene collections from the Mircosoft Planetary Computer. Each of the maps has an assessed average accuracy of over 75%. These maps have been improved from Impact Observatory’s previous release and provide a relative reduction in the amount of anomalous change between classes, particularly between “Bare” and any of the vegetative classes “Trees,” “Crops,” “Flooded Vegetation,” and “Rangeland”. This updated time series of annual global maps is also re-aligned to match the ESA UTM tiling grid for Sentinel-2 imagery. All years are available under a Creative Commons BY-4.0.

smash_trmm_normalized_climatology_norm_hail_density

The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve the public in several free, easy-to-access, and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and agriculture sustainability. POWER is funded through the NASA Earth Action Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This monthly meteorology service provides time-enabled global Analysis Ready Data (ARD) parameters from 1981 to 2023 for POWER’s communities.   Time Interval: Monthly Time Extent: 1981/01/01 to 2023/12/31 Time Standard: Local Sidereal Time (LST) Grid Size: 0.5 x 0.5 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov Meteorology Data Sources: NASA's GMAO MERRA-2 archive (Jan. 1, 1981 – Dec. 31, 2021) Meteorology Data Parameters: CDD10 (Cooling Degree Days Above 10 C): The daily accumulation of degrees when the daily mean temperature is above 10 degrees Celsius. CDD18_3 (Cooling Degree Days Above 18.3 C): The daily accumulation of degrees when the daily mean temperature is above 18.3 degrees Celsius. DISPH (Zero Plane Displacement Height): The height at which the mean velocity is zero due to large obstacles such as buildings/canopy. EVLAND (Evaporation Land): The evaporation over land at the surface of the earth. EVPTRNS (Evapotranspiration Energy Flux): The evapotranspiration energy flux at the surface of the earth. FROST_DAYS (Frost Days): A frost day occurs when the 2m temperature cools to the dew point temperature and both are less than 0 C or 32 F. GWETTOP (Surface Soil Wetness): The percent of soil moisture a value of 0 indicates a completely water-free soil and a value of 1 indicates a completely saturated soil; where surface is the layer from the surface 0 cm to 5 cm below grade. HDD10 (Heating Degree Days Below 10 C): The daily accumulation of degrees when the daily mean temperature is below 10 degrees Celsius. HDD18_3 (Heating Degree Days Below 18.3 C): The daily accumulation of degrees when the daily mean temperature is below 15.3 degrees Celsius. PBLTOP (Planetary Boundary Layer Top Pressure): The pressure at the top of the planet boundary layer. PRECSNOLAND_SUM (Snow Precipitation Land Sum): The snow precipitation sum over land at the surface of the earth. PRECTOTCORR_SUM (Precipitation Corrected Sum): The bias corrected sum of total precipitation at the surface of the earth. PS (Surface Pressure): The average of surface pressure at the surface of the earth. QV10M (Specific Humidity at 10 Meters): The ratio of the mass of water vapor to the total mass of air at 10 meters (kg water/kg total air). QV2M (Specific Humidity at 2 Meters): The ratio of the mass of water vapor to the total mass of air at 2 meters (kg water/kg total air). RH2M (Relative Humidity at 2 Meters): The ratio of actual partial pressure of water vapor to the partial pressure at saturation, expressed in percent. T10M (Temperature at 10 Meters): The air (dry bulb) temperature at 10 meters above the surface of the earth. T2M (Temperature at 2 Meters): The average air (dry bulb) temperature at 2 meters above the surface of the earth. T2MDEW (Dew/Frost Point at 2 Meters): The dew/frost point temperature at 2 meters above the surface of the earth. T2MWET (Wet Bulb Temperature at 2 Meters): The adiabatic saturation temperature which can be measured by a thermometer covered in a water-soaked cloth over which air is passed at 2 meters above the surface of the earth. TO3 (Total Column Ozone): The total amount of ozone in a column extending vertically from the earth's surface to the top of the atmosphere. TQV (Total Column Precipitable Water): The total atmospheric water vapor contained in a vertical column of unit cross-sectional area extending from the surface to the top of the atmosphere. TS (Earth Skin Temperature): The average temperature at the earth's surface. WD10M (Wind Direction at 10 Meters): The average of the wind direction at 10 meters above the surface of the earth. WD2M (Wind Direction at 2 Meters): The average of the wind direction at 2 meters above the surface of the earth. WD50M (Wind Direction at 50 Meters): The average of the wind direction at 50 meters above the surface of the earth. WS10M (Wind Speed at 10 Meters): The average of wind speed at 10 meters above the surface of the earth. WS2M (Wind Speed at 2 Meters): The average of wind speed at 2 meters above the surface of the earth. WS50M (Wind Speed at 50 Meters): The average of wind speed at 50 meters above the surface of the earth.

The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve the public in several free, easy-to-access, and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and agriculture sustainability. POWER is funded through the NASA Earth Action Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This climatology radiation service provides climatologically-averaged global Analysis Ready Data (ARD) parameters for 2001 to 2020 for POWER’s communities. Time Interval: Climatology  Time Extent: 2001/01/01 to 2020/12/31 (monthly and annual averages) Time Standard: Local Sidereal Time (LST) Grid Size: 1.0 X 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov Radiation Data Sources: NASA's CERES SYN1deg (Jan. 1, 2001 – Dec. 31, 2020) Radiation Data Parameters: ALLSKY_KT (All Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the all sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. ALLSKY_SFC_LW_DWN (All Sky Surface Longwave Downward Irradiance): The downward thermal infrared irradiance under all sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. ALLSKY_SFC_LW_UP (All Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under all sky conditions. ALLSKY_SFC_PAR_TOT (All Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DIFF (All Sky Surface Shortwave Diffuse Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DNI (All Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under all sky conditions. ALLSKY_SFC_SW_DWN (All Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under all sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. ALLSKY_SFC_SW_UP (All Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under all sky conditions. ALLSKY_SFC_UV_INDEX (All Sky Surface UV Index): The ultraviolet radiation exposure index. ALLSKY_SFC_UVA (All Sky Surface UVA Irradiance): The ultraviolet A (UVA 315nm-400nm) irradiance under all sky conditions. ALLSKY_SFC_UVB (All Sky Surface UVB Irradiance): The ultraviolet B (UVB 280nm-315nm) irradiance under all sky conditions. ALLSKY_SRF_ALB (All Sky Surface Albedo): The all sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. AOD_55 (Aerosol Optical Depth 55): The optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. AOD_55_ADJ (Adjusted Aerosol Optical Depth 55): The adjusted optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. CLOUD_AMT (Cloud Amount): The average percent of cloud amount during the temporal period. CLOUD_AMT_DAY (Cloud Amount at Daytime): The average percent of cloud amount during daylight. CLOUD_AMT_NIGHT (Cloud Amount at Nighttime): The average percent of cloud amount during nighttime. CLOUD_OD (Cloud Optical Visible Depth): The vertical optical thickness between the top and bottom of a cloud. CLRSKY_DAYS (Clear Sky Day): The number of Clear Sky Days if the daytime cloud amount is less than 10 percent. CLRSKY_KT (Clear Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the clear sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. CLRSKY_SFC_LW_DWN (Clear Sky Surface Longwave Downward Irradiance):  The downward thermal infrared irradiance under clear sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. CLRSKY_SFC_LW_UP (Clear Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under clear sky conditions. CLRSKY_SFC_PAR_TOT (Clear Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DIFF (Clear Sky Surface Shortwave Downward Diffuse Horizontal Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DNI (Clear Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under clear sky conditions. CLRSKY_SFC_SW_DWN (Clear Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under clear sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. CLRSKY_SFC_SW_UP (Clear Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under clearsky conditions. CLRSKY_SRF_ALB (Clear Sky Surface Albedo): The clear sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. MIDDAY_INSOL (Midday Insolation Incident): The total amount of solar irradiance (i.e. direct plus diffuse) incident on a horizontal plane at the earth's surface during the solar noon hour midday period. PW (Precipitable Water): The total atmospheric water vapor contained in a vertical column of the atmosphere. TOA_SW_DNI (Top-Of-Atmosphere Shortwave Direct Normal Radiation): The total solar irradiance incident (direct plus diffuse) on a horizontal plane where oriented to the sun's position at the top of the atmosphere (extraterrestrial radiation). TOA_SW_DWN (Top-Of-Atmosphere Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the top of the atmosphere (extraterrestrial radiation). TS_ADJ (Earth Skin Temperature Adjusted): The adjusted average temperature at the earth's surface.

This collection provides Sentinel-3 OLCI Level-2 Water Reduced Resolution products containing data on water-leaving reflectance, ocean color, and more.

This Collection provides Sentinel-5P Level-2 NO2 products, which contains high-resolution imagery of nitrogen dioxide concentrations.

Natural Earth 10m Land Boundaries The Natural Earth 10m Land Boundaries dataset provides a generalized, small-scale representation of global land boundary features suitable for regional to global mapping applications. At a scale of 1:10 million, the dataset captures international boundaries between countries and sovereign entities, emphasizing cartographic clarity and performance over fine positional accuracy. The data is designed for thematic mapping, visualization, and analytical overviews where high detail is not required. Boundaries are simplified to reduce complexity while preserving the essential geographic relationships between territories. This makes the dataset particularly useful for web mapping, dashboards, atlases, and large-area spatial analyses. Compiled from a combination of public domain sources and curated by the Natural Earth project, the dataset ensures consistency in boundary representation across the globe. It supports a wide range of GIS platforms and is distributed in standard geospatial formats, enabling easy integration into mapping workflows. While suitable for visualization and general analysis, the dataset is not intended for legal, cadastral, or high-precision applications.

Natural Earth admin 0 boundary lines disputed areas at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Particulate backscattering coefficient at 442 nanometers (bbp (442)) from the NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Ocean Color Instrument (OCI). This bbp (442) data layer provides a proxy of water clarity overall as well as an estimate of suspended particulate constituents present in the water. bbp (442) is provided as global, 8-day averages mapped to a standard, equal-angle, latitude-longitude grid of approximately 0.04 degrees, or 4 kilometers (km) at the equator. Pixels with no data values are masked (excluded) due to presence of land, cloud cover, or other features marked by quality control flags as described below. Data Layer Summary Name, units Particulate Backscattering at 442 nm [m-1] Backscattering coefficient of suspended particulate material at 442 nm in units of inverse meters (m-1) Spatial resolution 4 km2 Level-3, mapped to standard grid, global coverage Time Resolution 8 day average Each pixel represents an average of the valid, daily values observed within that grid element during the 8-day interval (approx 1 week). Note: 8 day average data layer is calculated from daily, "refined" (archive-quality) Level 3 PACE bbp (442) products, which are available at NASA Earthdata via this link in NetCDF format as part of the Inherent Optical Properties (IOP) suite. NASA Earthdata account required to download. Data Version Version 3.2 Data versions change as improved calibration, validation, algorithm refinements, etc are applied over time. See Version 3.2 Release Notes for details. Latency ̃1 month This imagery service provides “refined” (archive-quality) PACE data products from March 2024-present, which have an approx 1 month latency. Note: Lower latency “near real time (NRT)” Level 3 PACE bbp (442) data are available at NASA Earthdata via this link in NetCDF format as part of the Inherent Optical Properties (IOP) NRT suite. Latency typically account required to download. What can I do with this layer? The bbp (442) data layer supports water-type classification, water-clarity assessment, biogeochemical studies, and forward/adjoint radiative-transfer applications. As an inherent optical property (IOP, described in background information below), bbp (442) is more suitable for cross-sensor comparisons than apparent optical property (AOP) measurements, which vary with solar conditions at the time of measurement. The time (8 day average) and space (4 km2) resolution of this data layer enables weekly to seasonal and annual insight at sub-regional to global scales. What should I know about the data? Data Status (Maturity): This product is provisional, which means that product results have been reviewed and are in family with heritage data products or other basis of expectation, but have not yet been extensively validated and so may still contain significant errors. Data layer is sufficient for qualitative determinations of product fitness-for-purpose, for testing by operational users, and may be suitable for scientific publication. Data Masking: These products are Level 3, globally-binned products from NASA’s Ocean Biology Processing Group (OBPG), which by default are masked (pixel data value is set to null, or no data) according to a standard set of quality control parameters. For a list of these parameters, see the third column of the table included here: https://oceancolor.gsfc.nasa.gov/resources/atbd/ocl2flags/. Application of bbp (442) in varied water types: The Generalized Inherent Optical Properties framework in its default algorithm configuration (GIOP-DC; Werdell et al. 2013) used to derive bbp (442) was developed to maximize global performance. End users are advised to carefully consider the validity of retrievals in extreme conditions such as highly turbid, optically shallow, and inland/freshwater systems where values may carry higher uncertainty. Algorithm Theoretical Basis Document (ATBD): See ATBD for algorithm details including scientific theory, calculations, etc. at DOI 10.5067/ZGBW3QECROJ2. Where do I go with further questions? Visit NASA’s Earthdata Forum where users can post questions that are answered by the personnel working at NASA with the PACE mission and/or the Ocean Biology Distributed Active Archive Center (OB.DAAC) that processes and distributes PACE data. First, follow this link to view only “PACE” and “OBDAAC” tagged questions on the Earthdata Forum. Then search and read through previous posts for your question. If it has not yet been asked please post your question in the Forum and be sure "PACE" and "OBDAAC" filter tags are applied. Mission and Product Background PACE Mission Overview: Launched in February 2024, NASA’s Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) observatory uniquely provides near-daily, hyperspectral coverage of Earth’s surface, plus hyperspectral and hyperangular polarimetry. PACE is a comprehensive Earth System mission, delivering all new, space-based information on the health and diversity of aquatic and terrestrial life (algae, plants), aerosol properties & modes (e.g. smoke, dust), cloud types, and more. The Ocean Color Instrument (OCI), PACE's primary sensor, is a hyperspectral (5 nm resolution) imaging spectrometer that measures properties of light from the ultraviolet (UV, 340 nm) through visible and near infrared (NIR, 895 nm) portions of the electromagnetic spectrum in 1.25 to 2.5 nm steps, plus 7 shortwave infrared (SWIR) bands (Werdell et al. 2019). Observations from OCI are moderate spatial resolution (1.2 km2), enabling a relatively frequent revisit time of 1-2 days. This combination of continuous, global coverage and spectral capabilities is unmatched by any other satellite platform, public or private. PACE benefits society by expanding our foundational knowledge of Earth and enabling novel, space-based science and applications tools across water resources (e.g. fisheries), air quality, land monitoring & management, and more. The Ocean Color Instrument (OCI), PACE’s primary sensor, is a hyperspectral (5 nm resolution) imaging spectrometer that measures properties of light from the ultraviolet (UV, 340 nm) through visible and near infrared (NIR, 895 nm) portions of the electromagnetic spectrum, plus 7 shortwave infrared (SWIR) bands (Werdell et al. 2019). Observations from OCI are moderate spatial resolution (1.2 km2), enabling a relatively frequent revisit time of 1-2 days. This combination of continuous, global coverage and spectral capabilities is unmatched by any other satellite platform, public or private. PACE benefits society by expanding our foundational knowledge of Earth and enabling novel, space-based science and applications tools across water resources (e.g. fisheries), air quality, land monitoring & management, and more. How is bbp (442) calculated and what does it represent? Inherent optical properties (IOPs; spectral absorption and backscattering coefficients) help us understand how different wavelengths (colors) of light are scattered and absorbed by materials present in natural waters such as lakes, coastal waters, and the ocean. Unlike apparent optical properties (AOPs), IOPs are independent of the surrounding light field or viewing geometry. The different constituents in natural waters - including the water itself, phytoplankton, dissolved matter, and non-algal particulate matter - absorb and scatter light in different ways due to factors such as shape, size, and pigmentation. The types and relative concentrations of constituent matter drive the character of the light reflected from the water making IOPs key parameters in understanding marine biogeochemical processes and the characteristics of the under-water light field. The current default configuration of the Generalized Inherent Optical Properties (GIOP-DC; Werdell et al. 2013) algorithm used to derive this data layer is based on a scientific understanding of the physics of light in water, relating IOPs to the light reflected from the ocean that is observed by space-borne sensors. The GIOP-DC input variables include spectral remote sensing reflectance values and biophysical environmental conditions, and returned variables include 7 atmospherically corrected spectral IOPs of near surface waters and their uncertanty values (see ATBD for details). Of these GIOP-DC output variables, the coefficients of both particulate bacscattering and non-algal particulate plus colored dissolved organic matter at one wavelength of 442 nm (bbp (455) and adg (442), respectively, in units of meters-1) are provided here as data layers to utilize as measures of the absorption and scattering properties of a given water body. What other PACE data layers are available? This data layer is 1 of 11 PACE products initially selected for the Living Atlas catalog from the mission’s comprehensive aquatic, atmospheric, and terrestrial product catalog. Click here to view all 11 PACE Living Atlas imagery services. Global, hyperspectral remote sensing reflectance observations from OCI with over 250 spectral bands, and used to derive many of PACE's aquatic products, are available to download in NetCDF format from NASA Earthdata as Level 3, mapped data with 4 km2 resolution or as Level 2 granules at unprojected, native spatial resolution (1.2 km2). To learn more about obtaining PACE data from NASA, first learn about PACE data access here, next decide which product(s) you would like to use, then go to NASA Earthdata to find your product(s) of interest in NetCDF format, which can be downloaded and then imported into ArcGIS. To learn about using Earthdata Search to narrow your data product selection, watch this tutorial. An Earthdata account is needed to download data from NASA, sign up here. How can I stay up to date with the PACE mission? Join the PACE Community for mission news, events, new product release announcements, and to receive our newsletters. Would you like to see imagery services for more PACE products? Please let us know here. References: McKinna, L. & Werdell, J., authors. (2024) Algorithm theoretical basis document: Inherent Optical Properties, Version 1.0. NASA Goddard Space Flight Center, Ocean Ecology Lab. https://doi.org/10.5067/JCQB8QALDOYD. Werdell, P. J., Franz, B. A., Bailey, S. W., Feldman, G. C., Boss, E., Brando, V. E., Dowell, M. et al. (2013) Generalized ocean color inversion model for retrieving marine inherent optical properties. Applied Optics, 52(10), 2019--2037. https://doi.org/10.1364/AO.52.002019 Werdell, P. J. et al. (2019) The Plankton, Aerosol, Cloud, Ocean Ecosystem Mission: Status, Science, Advances. Bulletin of the American Meteorological Society, 100, 1775–1794. https://doi.org/10.1175/BAMS-D-18-0056.1

satellite imagery by Luka Koens, acquired 2026-01-23 to 2026-01-24, 1.0 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-1 RA BD7 products, which contains Earth radiance spectra for spectral band 7.

This Collection provides Sentinel-5P Level-1 RA BD3 products, which contains Earth radiance spectra for spectral band 3.

Natural Earth admin 0 boundary lines maritime indicator chn at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Natural Earth admin 0 boundary lines map units at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Raster surface disturbance map derived from Harmonized Landsat Sentinel-2 (HLS) data for Hurricane Helene, produced by the OPERA and ARIA teams. Covers North Carolina, Tennessee, and Virginia. Published by patrick_rea.

Point locations of park furniture and fixtures such as rubbish bins and bike stands, with attributes for asset group, site and site description, local board, street name and number, and city. Published by OpenDataUser.

Date of Image: 4/14/2026, 4/16/2026, 4/18/2026 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.

LINZ Data Service (LDS) Item Page - NZ Addresses: Roads The dataset provides linear geometries against which official road names and street addresses can be recorded. Its purpose is also to enable automated meshblock address reports (for electoral and statistical purposes) so as to identify the presence of a road name in meshblocks where street addresses do not exist. For this dataset (as opposed to the NZ Roads Sections), individual road section geometries have been aggregated to a single road centreline geometry where those subsections share the same name, and are generally contiguous. Because some roads have multiple names for part of their lengths, some road centreline geometries will duplicate parts of other roads even though there is in reality only one road formation. Refer to the NZ Addresses Data Dictionary for detailed metadata and information. These road centrelines do not represent actual road formation, nor do they represent legal access. They must not be considered as topographic, cadastral, or legal. This dataset contains the core attributes of a road to support simple searching or provide a road name context for cadastral data views. Please note: This layer is updated (if updates are available) from the LINZ Data Service. See Details on the right for when data was last updated and LDS layer history for more. Layer availability is unaffected during updates. If you have any questions, please contact us at maps@linz.govt.nz

This collection offers 8 parameters at 33 available pressure levels (from 100000Pa to 1000Pa) from the Met Office global deterministic 10km forecast. This is a numerical weather prediction forecast for the whole globe, with a resolution of approximately 0.09 degrees i.e. 10km (2,560 x 1,920 grid points). The data is available as NetCDF files. It's offered on a free, unsupported basis, so we don't recommend using it for any critical business purposes. ## Pressure Levels Available pressure levels, in Pascals (Pa), are: * 100000.0 97500.0 95000.0 92500.0 90000.0 85000.0 80000.0 75000.0 70000.0 65000.0 60000.0 55000.0 50000.0 45000.0 40000.0 37500.0 35000.0 32500.0 30000.0 27500.0 25000.0 22500.0 20000.0 17500.0 15000.0 12500.0 10000.0 7000.0 5000.0 4000.0 3000.0 2000.0 1000.0 500.0 200.0 100.0 40.0 ## Timesteps The following timesteps are available: * every hour from 0 to 54 hours (for most parameters, see parameter table for exceptions) * every 3 hours from 57 to 144 hours * every 6 hours from 150 to 168 hours ## Update Frequency The model is run four times each day, with forecast reference times of 00:00, 06:00, 12:00 and 18:00 (UTC). The runs at 00:00 and 12:00 provide data for the next 168 hours. The runs at 06:00 and 18:00 provide data for the next 67 hours. The forecast reference time represents the nominal data time or start time of a model forecast run, rather than the time when the data is available. ## Archive length and latency As of December 2025, the archive contains data from December 2023 onwards. Forecasts will continue to be available for at least two years from their data date. The data is typically available 6 hours after the model run time. ## Technical specs The data is available as NetCDF files. NetCDF (Network Common Data Form) is an interface for array-orientated data access and a library that supports the interface. It is composed of 3 components: * Variables store the data * Dimensions give relevant dimension information for the variables * Attributes provide auxiliary information about the variables or dataset itself NetCDF is used within the atmospheric and oceanic science communities and is network transparent, allowing for it to be accessed by computers that store integers, characters and floating-point numbers. Iris supports NetCDF files through reading, writing and handling. Iris implements a model based on the CF conventions, giving a format-agnostic interface for working with data. Find further support on using Iris with NetCDF files. ## Help us improve the data services we offer Join the Met Office research panel to help us understand how people interact with weather and climate data, uncover challenges and explore opportunities. ## How to cite Met Office global deterministic 10km forecast was accessed on DATE from the Microsoft Planetary Computer (https://zenodo.org/records/7261897). ## License British Crown copyright 2023-2025, the Met Office, is licensed under CC BY-SA. ## Providers Met Office See all datasets managed by Met Office. ## Contact [servicedesk@metoffice.gov.uk](mailto:servicedesk@metoffice.gov.uk). Service desk is only available Mon – Fri, 09:00 until 17:00 UTC (-1 hour during BST). As a non-operational service we aim to respond to any service support enquiries within 3-5 business days.

The Cooperative Open Online Landslide Repository (COOLR) contains citizen science data from Landslide Reporter put into the database as Landslide Reporter Catalog (event_import_source = ‘LRC’) and data from NASA’s Global Landslide Catalog (event_import_source = ‘GLC’) compiled since 2007.  Background The Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impacts or location. The GLC considers all types of mass movements triggered by rainfall and some triggered by other events, that have been reported in the media, disaster databases, scientific reports, or other sources. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center. The Cooperative Open Online Landslide Repository (COOLR) is a worldwide database of landslide events. It currently includes NASA’s Global Landslide Catalog (GLC) and other landslide reports contributed by citizen scientists. In the future, other landslide inventories will be added to COOLR. Methods We use 'landslide' as a general term to represent all event types. The catalog differentiates between landslide types when the information is available in the landslide_category field. COOLR follows a similar methodology to the GLC, and its fields and other information are documented in the publications below. Landslide events in the GLC were obtained from online news media, links to reported landslides in newspapers, hazard databases, scientific reports, blog entries, and personal communication and other sources. Online news articles serve as the primary sources of information for the landslide catalog and are found using Google Alerts (www.google.com/alerts) and other search engine options. Citizen science points submitted to COOLR through Landslide Reporter are checked for accuracy compared to the source material, accuracy of location and landslide identification, and the quality of the description provided. The source of the information in all COOLR points and polygons are described in the individual objects, which can be found in the source_name and source_link columns. For Further Reference landslides.nasa.gov. Kirschbaum, D.B., Stanley, T., & Zhou, Y. (2015). Spatial and temporal analysis of a global landslide catalog. Geomorphology, 249, 4-15. doi:10.1016/j.geomorph.2015.03.016 Kirschbaum, D.B., Adler, R., Hong, Y., Hill, S., & Lerner-Lam, A. (2010). A global landslide catalog for hazard applications: method, results, and limitations. Natural Hazards, 52, 561-575. doi:10.1007/s11069-009-9401-4

The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve out to the public in several free, easy-to-access and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and supporting agriculture projects. POWER is funded through the NASA Applied Sciences Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This is the data grid for CERES FLASHFlux that is used by the time-enabled global Analysis Ready Data (ARD) provided by the NASA Prediction Of Worldwide Energy Resource (POWER) Project's web applications and services. Grid Size: 1.0 X 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov

This table describes each metric in the Brisbane City Council dataset called Flood — Awareness — Property Parcel Metrics. Definitions for this dataset: AEP – Annual Exceedance Probability (AEP) is the probability of a flood event of a given size occurring in any one year, usually expressed as a percentage annual chance. FWPR – Floodwise Property Report (FWPR), Council's FloodWise Property Reports provide property specific flood information to enable you to plan and build in accordance with the correct requirements. Holding – A property holding is a Council-defined and managed information entity. Its boundaries are generally based on land parcels. A property holding may consist of one or multiple land parcels. Parcel – Land Parcels are the building blocks of Council properties. Land parcels (also called lots) are mapped and the title details shown on a Plan of Subdivision. The parcel is a graphical representation of surveyed boundaries together with identifiers such as Lot/Plan description and house numbers. Information about flood types can be found in open data by using this search on the Brisbane City Council open data website and opening the required dataset.

Current and recent droughts alerts from the Global Disaster Alert and Coordination System (GDACS), a cooperation of the United Nations and the European Commission, with alert level, severity and affected population.

This Collection provides Sentinel-5P Level-1 RA BD6 products, which contains Earth radiance spectra for spectral band 6.

The source for the interim RUB was the operative Regional Policy Statement MUL, changes were provided by Spatial Infrastructure Strategy and endorsed by The Auckland Plan Committee.The boundary which defines the maximum extent of urban development to 2040 in the form of a permanent rural urban interface. It is defined around the following urban areas:metropolitan urban area of Auckland, Orewa and the urban areas of Waiheke Island and Whangaparaoa Peninsula the satellite towns of Pukehoke and Warkworth rural and coastal towns of Beachlands/Pine Harbour, Helensville, Kumeu-Huapai, Oneroa, Riverhead, Snells Beach/Algies Bay, Waiuku and Wellsford serviced villages.

The Sentinel-6 AMR-C Short Time Critical (STC) product provides medium-latency, calibrated brightness temperature measurements, used to derive wet tropospheric path delay corrections with improved accuracy. Data are organised by full orbital passes and delivered within 36 hours of acquisition. The product supports ocean modelling and data assimilation workflows, and is provided in NetCDF format.

This Collection provides the Sentinel-3 Synergy Level-2 1-Day Surface Reflectance and NDVI products, which are SPOT VEGETATION Continuity Products similar to those obtained from the VEGETATION instrument onboard the SPOT-4 and SPOT-5 satellites.

Current and recent wildfires alerts from the Global Disaster Alert and Coordination System (GDACS), a cooperation of the United Nations and the European Commission, with alert level, severity and affected population.

Seagrass beds are vital coastal ecosystems that provide habitat and nursery grounds for a diverse array of marine life, supporting rich biodiversity. They also play a crucial role in stabilizing sediments, improving water quality, and capturing carbon, making them essential for healthy oceans and climate regulation. This layer shows the extent of shallow-water seagrass beds derived from Sentinel-2 imagery from 2023-2024, based on analysis by Peng et al (Nature 2026).    Dataset Summary Phenomenon Mapped: Shallow-water seagrass extent Geographic Extent: Global Layer Projection: WGS 1984 Web Mercator Cell Size: 10-meters Pixel Depth: 1-bit integer Update Frequency: None Source: Peng et al 2026 Data Vintage: June 2026 Publication Date: July 2026 Analysis: Supports analysis What can you do with this layer? This tile imagery service is designed for fast data visualization and analysis. Identify pixels by clicking on the map to reveal the pre-configured pop-ups. It can be used to model areas suitable for seagrass habitat. An additional 2019-2020 analysis is available from the source.  Citation: Peng, J. (2026). Global 10-m shallow-water seagrass extent mapping code. Zenodo. https://doi.org/10.5281/zenodo.18212209 Revisions None Questions? Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

OverviewThis feature service contains survey submissions for unmanned aircraft system (UAS) pre-flight planning and documentation. It captures flight details, personnel assigned to the mission, the participating agency or department, timing information, flight purpose, and a short narrative description of each flight. ContentPublic sharing confirmation for flight details. Mission personnel, including the pilot in command and visual observer. Agency or department associated with the flight. Flight schedule with start and end dates and times. Flight type such as training, inspection, damage assessment, fire surveillance, mapping, photography and videography, or search and rescue. Flight description providing additional context for the mission. Use CasesTracking and reviewing UAS operations. Supporting aviation mission planning and oversight. Documenting agency flight activities for operational records. Enabling reporting and sharing of pre-flight survey responses within GIS workflows. Geographic CoverageThe service is configured for global use and supports survey-based records wherever UAS flights are documented.

Current and recent volcanic eruptions alerts from the Global Disaster Alert and Coordination System (GDACS), a cooperation of the United Nations and the European Commission, with alert level, severity and affected population.