Global GIS data

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

uav imagery by Leo Vanualailai, acquired 2026-06-11 to 2026-06-11, 7.1 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-2 CO products, which contains high-resolution imagery of carbon monoxide concentrations.

This Collection provides Sentinel-5P Level-2 O3 PR products, which contains ozone concentration for 33 levels in the atmosphere.

This Collection provides Sentinel-5P Level-2 O3 PR products, which contains ozone concentration for 33 levels in the atmosphere.

The Level-1C product is composed of 110x110 km2 tiles (ortho-images in UTM/WGS84 projection). Earth is subdivided on a predefined set of tiles, defined in UTM/WGS84 projection and using a 100 km step. However, each tile has a surface of 110x110 km² in order to provide large overlap with the neighbouring. The Level-1C product results from using a Digital Elevation Model (DEM) to project the image in cartographic geometry. Per-pixel radiometric measurements are provided in Top Of Atmosphere (TOA) reflectances along with the parameters to transform them into radiances.

uav imagery by WebODM, acquired 2026-01-02 to 2026-01-02, 4.2 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-2 CO products, which contains high-resolution imagery of carbon monoxide concentrations.

The Sentinel-6 P4 Level 2 Non Time Critical (NTC) product delivers the highest quality ocean surface measurements, including sea surface height, wind speed, and wave height, designed for climate research and long-term monitoring. The data are processed using the most up-to-date algorithms and auxiliary information, organized by full satellite passes, and delivered within 60 days of acquisition. The product is provided in NetCDF format and is subject to regular reprocessing to maintain consistency with evolving processing standards.

The Sentinel-6 P4 Level 1B Short Time Critical (STC) product provides intermediate-latency ocean surface data, including sea surface height, wind speed, and wave height. It is tailored for oceanographic modeling and data assimilation purposes. Data are organized by full satellite passes (pole-to-pole) and are typically delivered within 36 hours of acquisition. The product is provided in NetCDF format and ensures consistent quality for near-operational applications.

The Sentinel-6 P4 Level 1B Near Real-Time (NRT) product provides low-latency, operational-quality ocean surface data, including sea surface height, wind speed, and wave height. The data are segmented into 10-minute granules per ground station pass and delivered within three hours of acquisition. The product is provided in NetCDF and BUFR formats.

uav imagery by WebODM, acquired 2026-01-10 to 2026-01-10, 5.6 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-2 NP BD3 products, which contains information on cloud and scene homogeneity.

This Collection provides Sentinel-5P Level-2 NP BD3 products, which contains information on cloud and scene homogeneity.

uav imagery by Luka Koena, acquired 2026-01-24 to 2026-01-25, 1.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-09 to 2026-01-10, 5.8 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-07 to 2026-01-07, 6.4 cm per pixel, published on OpenAerialMap.

Absorption coefficient of detrital (non-algal particulate) material and gelbstoff (colored dissolved organic matter) at 442 nanometers (adg (442)) from the NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Ocean Color Instrument (OCI). This adg (442) data layer provides proxy of water clarity overall as well as an estimate of the optically active dissolved and particulate constituents other than phytoplankton present in the water. adg (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 Absorption of Gelbstoff and Detrital Material at 442nm [m-1] Absorption coefficient of gelbstoff (colored dissolved organic matter) and detritus (non-algal particulate matter) at 442 nanometers, 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 adg (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 adg (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 adg (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), adg (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 adg (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 adg (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. How is adg (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 sunlight 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 (442) 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

uav imagery by OC Aerial, acquired 2025-06-23 to 2025-06-24, 1.8 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-04 to 2026-01-04, 5.5 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-05 to 2026-01-05, 5.6 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-18 to 2026-01-18, 5.8 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-19 to 2026-01-19, 5.8 cm per pixel, published on OpenAerialMap.

uav imagery by Leo Vanualailai, acquired 2026-07-26 to 2026-07-27, 3.0 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-1 RA BD5 products, which contains Earth radiance spectra for spectral band 5.

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 annual radiation service provides time-enabled global Analysis Ready Data (ARD) parameters from 1984 to 2023 for POWER's communities. Time Interval: Annual Time Extent: 1984/01/01 to 2023/12/31 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 GEWEX/SRB release 4.0 archive (Jan. 1, 1984 – Dec. 31, 2000) NASA's CERES SYN1deg (Jan. 1, 2001 – Dec. 31, 2023) 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.

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 GEWEX SRB 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

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 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 annual meteorology service provides time-enabled global Analysis Ready Data (ARD) parameters from 1981 to 2023 for POWER’s communities.   Time Interval: Annual 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, 2023) 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 ECMWF catalog of real-time products offers real-time meterological and oceanographic productions from the ECMWF forecast system. Users should consult the ECMWF Forecast User Guide for detailed information on each of the products. ## Overview of products The following diagram shows the publishing schedule of the various products. The vertical axis shows the various products, defined below, which are grouped by combinations of `stream`, `forecast type`, and `reference time`. The horizontal axis shows *forecast times* in 3-hour intervals out from the reference time. A black square over a particular forecast time, or step, indicates that a forecast is made for that forecast time, for that particular `stream`, `forecast type`, `reference time` combination. * **stream** is the forecasting system that produced the data. The values are available in the `ecmwf:stream` summary of the STAC collection. They are: * `enfo`: ensemble forecast, atmospheric fields * `mmsf`: multi-model seasonal forecasts fields from the ECMWF model only. * `oper`: high-resolution forecast, atmospheric fields * `scda`: short cut-off high-resolution forecast, atmospheric fields (also known as "high-frequency products") * `scwv`: short cut-off high-resolution forecast, ocean wave fields (also known as "high-frequency products") and * `waef`: ensemble forecast, ocean wave fields, * `wave`: wave model * **type** is the forecast type. The values are available in the `ecmwf:type` summary of the STAC collection. They are: * `fc`: forecast * `ef`: ensemble forecast * `pf`: ensemble probabilities * `tf`: trajectory forecast for tropical cyclone tracks * **reference time** is the hours after midnight when the model was run. Each stream / type will produce assets for different forecast times (steps from the reference datetime) depending on the reference time. Visit the ECMWF's User Guide for more details on each of the various products. Assets are available for the previous 30 days. ## Asset overview The data are provided as GRIB2 files. Additionally, index files are provided, which can be used to read subsets of the data from Azure Blob Storage. Within each `stream`, `forecast type`, `reference time`, the structure of the data are mostly consistent. Each GRIB2 file will have the same data variables, coordinates (aside from `time` as the *reference time* changes and `step` as the *forecast time* changes). The exception is the `enfo-ep` and `waef-ep` products, which have more `step`s in the 240-hour forecast than in the 360-hour forecast. See the example notebook for more on how to access the data. ## STAC metadata The Planetary Computer provides a single STAC item per GRIB2 file. Each GRIB2 file is global in extent, so every item has the same `bbox` and `geometry`. A few custom properties are available on each STAC item, which can be used in searches to narrow down the data to items of interest: * `ecmwf:stream`: The forecasting system (see above for definitions). The full set of values is available in the Collection's summaries. * `ecmwf:type`: The forecast type (see above for definitions). The full set of values is available in the Collection's summaries. * `ecmwf:step`: The offset from the reference datetime, expressed as ``, for example `"3h"` means "3 hours from the reference datetime". * `ecmwf:reference_datetime`: The datetime when the model was run. This indicates when the forecast *was made*, rather than when it's valid for. * `ecmwf:forecast_datetime`: The datetime for which the forecast is valid. This is also set as the item's `datetime`. See the example notebook for more on how to use the STAC metadata to query for particular data. ## Attribution The products listed and described on this page are available to the public and their use is governed by the Creative Commons CC-4.0-BY license and the ECMWF Terms of Use. This means that the data may be redistributed and used commercially, subject to appropriate attribution. The following wording should be attached to the use of this ECMWF dataset: 1. Copyright statement: Copyright "© [year] European Centre for Medium-Range Weather Forecasts (ECMWF)". 2. Source www.ecmwf.int 3. License Statement: This data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/ 4. Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use. 5. Where applicable, an indication if the material has been modified and an indication of previous modifications. The following wording shall be attached to services created with this ECMWF dataset: 1. Copyright statement: Copyright "This service is based on data and products of the European Centre for Medium-Range Weather Forecasts (ECMWF)". 2. Source www.ecmwf.int 3. License Statement: This ECMWF data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/ 4. Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use. 5. Where applicable, an indication if the material has been modified and an indication of previous modifications ## More information For more, see the ECMWF's User Guide and example notebooks.

This image service provides one-time estimates of 30-meter resolution global mangrove distribution, aboveground biomass, and canopy height that represent conditions of mangrove-forested wetlands in the 2000s based on remotely sensed data and in situ field measurements and region-specific allometric models.   The underlying multidimensional image layer contains three variables. Users should use the multidimensional settings to switch between variables.agb (Mg ha-1): mangrove aboveground biomass measured in megagrams per hectare hmax (meters): maximum canopy maximum height (height of the tallest tree) measured in meters hba (meters): basal-area weighted height (individual tree heights weighted in proportion to their basal area).  The maximum canopy height and basal-area weighted height values were capped at the 95th percentile of the maximum value in each country to minimize the impact of canopy height error reported from a potentially small number of misclassified pixels. Data sources used include the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) data collected in February 2000, lidar heights collected from 2003 to 2009 by the ICESat/Geoscience Laser Altimeter System (GLAS) Spaceborne Lidar mission, and in situ field measurements collected from 2004 to 2014. Details about the underlying data can be found at https://doi.org/10.3334/ORNLDAAC/1665  Legend:Variable Units Symbol  Pixel Value  Description  agb Mg ha-1  High: 910.476 Mangrove aboveground biomass Low: 0.284 hmax meters   High: 62.789 Mangrove canopy maximum height (height of the tallest tree) Low: 0.849 hba meters   High: 39.79 Mangrove basal-area weighted height (individual tree heights weighted in proportion to their basal area) Low: 0.538  Acknowledgement:Creation of this dataset was funded by NASA"s Carbon Monitoring System (CMS) program.  Dataset Citation:Simard, M., T. Fatoyinbo, C. Smetanka, V.H. Rivera-monroy, E. Castaneda, N. Thomas, and T. Van der stocken. 2019. Global Mangrove Distribution, Aboveground Biomass, and Canopy Height. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1665 Contact:For inquiries about this service, please contact support@earthdata.nasa.gov or post/view questions on the Earthdata Forum.

U.S.-wide digital elevation data at horizontal resolutions ranging from one to sixty meters. The USGS 3D Elevation Program (3DEP) Datasets from the National Map are the primary elevation data product produced and distributed by the USGS. The 3DEP program provides raster elevation data for the conterminous United States, Alaska, Hawaii, and the island territories, at a variety of spatial resolutions. The seamless DEM layers produced by the 3DEP program are updated frequently to integrate newly available, improved elevation source data. DEM layers are available nationally at grid spacings of 1 arc-second (approximately 30 meters) for the conterminous United States, and at approximately 1, 3, and 9 meters for parts of the United States. Most seamless DEM data for Alaska is available at a resolution of approximately 60 meters, where only lower resolution source data exist.

This spatial layer depicts the proposed planning area boundary for the new Southern Plan of Management. The planning area extends from approximately Midge Point to the southern boundary of the Marine Park aligning in most parts with the Mackay/Capricorn Management Area (except at the northern coastal area where the boundary follows the Yuwibara Native Title Determination). The boundary is within both the Great Barrier Reef Marine Park boundary and the Great Barrier Reef Marine Park Mackay/Capricorn Management Area boundary. The proposed planning area spatial layer was created by the Great Barrier Reef Marine Park Authority in July 2023, in preparation for the first round of public consultation as part of the development of the Southern Plan of Management. A plan of management’s objectives under the Great Barrier Reef Marine Park Act 1975 are to improve the protection and conservation of Marine Park values, while providing for multiple uses and managing user conflicts. During the public consultation phase, comments are sought on how to protect the Marine Park values and manage use into the future.

This Collection provides Sentinel-5P Level-2 CH4 products, which contains high-resolution imagery of methane concentrations.

This Collection provides Sentinel-5P Level-2 AER LH products, which contains high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH).

Date of Images: 2/4/2023, 2/5/2023, 2/9/2023, 2/10/2023, 2/16/2023, 2/21/2023 Date of Next Image: None Expected Summary: The Alaska Satellite Facility has developed false color Red, Green, Blue (RGB) and Radiometrically Terrain-Correct (RTC) composites of the Sentinel-1A/B Synthetic Aperture Radar (SAR) instrument which assigns the co- and cross-polarization information to a channel in the composite. When used to support a flooding event, areas in blue denotes water present at the time of the satellite overpass before or after the start of the hurricane. Blue areas have low returns in VV and VH (smooth surfaces such as calm water, but also frozen/crusted soil or dry sand), Green areas have high returns in VH (volume scatterers such as vegetation or some types of snow/ice), and Red areas have relatively high VV returns and relatively low VH returns (such as urban or sparsely vegetated areas). Additional SAR Information Suggested Use: In this image, water appears in blue, vegetated areas in shades of green and urban areas in bright orange. It is recommended to use this product with ancillary information to derive flooded areas. Blue areas have low returns in VV and VH (smooth surfaces such as calm water, but also frozen/crusted soil or dry sand), Green areas have high returns in VH (volume scatterers such as vegetation or some types of snow/ice), and Red areas have relatively high VV returns and relatively low VH returns (such as urban or sparsely vegetated areas). Satellite/Sensor: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel-1A satellite Resolution: 30 meters Credits: Sentinel data used in this derived product, contains modified Copernicus Sentinel data (2023), processed by ESA, Alaska Satellite Facility, NASA MSFC Service URL:  https://gis.earthdata.nasa.gov/portal/home/item.html?id=7a7c0584e53d4cad84af5cdde9b29eb0 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202302_EARTHQUAKE_TURKIYE/2302_sentinel1/ImageServer/WMSServer