This dataset represents global tree heights based on a fusion of spaceborne-lidar data (2005) from the Geoscience Laser Altimeter System (GLAS) and ancillary geospatial data. The National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) is a fully coupled model representing the interaction between the Earth's atmosphere, oceans, land, and sea ice. Description. Downscaled to 1 km resolution using gdalwarp (cubic splines) and an average between WorldClim, CHELSA Climate, and IMERG monthly product (see, e.g, "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. ERA5 MONTHLY provides aggregated values for each month for ... ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. and Mid-IR bands, and has a range of -1.0 to 1.0. The MOD11A1 V6 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The Normalized Difference Snow Index is used to identify snow, based The Hybrid Coordinate Ocean Model (HYCOM) is a data-assimilative hybrid isopycnal-sigma-pressure (generalized) coordinate ocean model. Bands 1-6 are reflective. The algorithm chooses the "best" pixel available from all the acquisitions of the Aqua sensor from within the 8-day period. The USGS produces data in 3 categories for each satellite From the GLS 2000 epoch, 3,650,723 km2 of inland water were identified, around three quarters of which were in North America and Asia. (2009) for details on the TOA computation. In Louisiana, these divisions are known as "parishes". The MOD16A2 Version 6 Evapotranspiration/Latent Heat Flux product is an 8-day composite product produced at 500 meter pixel resolution. This dataset contains drought indices derived from the 4-km daily Gridded Surface Meteorological (GRIDMET) dataset. However, aerosols and clouds can be difficult to distinguish, and ALH is computed for all FRESCO effective ... NRTI/L3_CLOUD This dataset provides near real-time high-resolution imagery of cloud parameters. Calibration coefficients are extracted from the image metadata. The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Processing steps are described in detail here . The classified images are the output of a convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites. More than 1,000 Landsat scenes obtained from the USGS Earth Resources Observation and Science Center (EROS) were classified using hybrid supervised and unsupervised digital image classification techniques. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. The Hydrologically Enforced Digital Elevation Model (DEM-H) was derived from the SRTM data acquired by NASA in February 2000. satellites image the entire Earth's surface at a 30-meter resolution This product is the sum of the one-sided green leaf area per unit ground area. See Gao (1996) for details. GPP is the amount of carbon captured by plants in an ecosystem and is an essential component in the calculations of Net Primary Production (NPP). Each fire has a unique number identifying the event. The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. The value of each pixel represents the average daily ETIa in a given dekad. Non-Methane Volatile Organic Compounds (NMVOCs) are, together with NOx, CO and CH4, among ... OFFL/L3_NO2 This dataset provides offline high-resolution imagery of NO2 concentrations. Antartica is not included. The United States Census Bureau TIGER dataset contains the 2016 boundaries for primary legal divisions of US states. The Global Inland Water dataset shows inland surface water bodies, including fresh and saline lakes, rivers, and reservoirs. The TROPOMI/S5P cloud properties retrieval is based on the OCRA and ROCINN algorithms currently being used in the operational GOME and GOME-2 products. It provides 247 unique combinations out of a possible 270. The temperature value is derived from the MOD11_L2 swath product. The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. The underlying dataset for this daytime product is MODIS land surface temperature data (MOD11A2), which was gap-filled using the approach outlined in Weiss et al. This dataset provides a complete 15 m resolution image mosaic of the Greenland ice sheet derived from Landsat 7 ETM+ and RADARSAT-1 SAR imagery from the years 1999 to 2002. This should be done in exactly the same way as the training data were generated. Calibration coefficients are extracted from the image metadata. The Shuttle Radar Topography Mission (SRTM) digital elevation dataset was originally produced to provide consistent, high-quality elevation data at near global scope. The Total Ozone Mapping Spectrometer (TOMS) data represent the primary long-term, continuous record of satellite-based observations available for use in monitoring global and regional trends in total ozone over the past 25 years. The Soil and Landscape Grid of Australia (SLGA) is a comprehensive dataset of soil attributes across Australia at 3 arc-second resolution (~90m pixels). The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. The resulting data were gap-filled using the approach outlined in Weiss et al. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. See Chander et al. CHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. The MOD13A2 V6 product provides two Vegetation Indices (VI): the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). Primary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. This dataset contains the 2010 census blocks, roughly equivalent to a city block. Red and Blue bands of each scene, and ranges in value from -1.0 to The MCD12Q2 V6 Land Cover Dynamics product (informally called the MODIS Global Vegetation Phenology product) provides estimates of the timing of vegetation phenology at global scales. The FLDAS dataset (McNally et al. It provides both directional hemispherical reflectance (black sky albedo) and bihemispherical reflectance (white sky … It uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser spatial resolution, but time-varying data from CRU Ts4.0 and the Japanese 55-year Reanalysis (JRA55). The NASA-USDA Enhanced SMAP Global soil moisture data provides soil moisture information across the globe at 10-km spatial resolution. The detailed version (2013) is derived from two other datasets: a LSIB line vector file and the World Vector Shorelines (WVS) from the National Geospatial-Intelligence Agency (NGA). The DEM was derived from several raster and vector sources of topographic information. Shuffle, repeat and batch the data. your script environment with a single click. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... Landsat 5 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Landsat 5 TM Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Reference evapotranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Formaldehyde is an intermediate gas in almost all oxidation chains of non-methane volatile organic compounds (NMVOC), leading eventually to CO2. Low-level data are corrected for atmospheric gases and aerosols. The global 25m PALSAR/PALSAR-2 mosaic is a seamless global SAR image created by mosaicking strips of SAR imagery from PALSAR/PALSAR-2. The dataset is based on the DSM dataset (5-meter mesh version) of the World 3D Topographic Data. Earth Engine Data Catalog. Tier 1 includes Level-1 Precision Terrain (L1TP) ... Landsat 8 Collection 1 Tier 2 OLI DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Predicted from a global compilation of soil points. This product is the sum of the one-sided green leaf area per unit ground area. For this purpose, over 2,500 Sentinel-1 and over 11,000 Sentinel-2 images were processed to produce a single mosaic dataset for the year 2017. The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. It is based on the 30m SRTM DEM (available in EE as USGS/SRTMGL1_003). about once every two weeks, including multispectral and thermal data. The last composite of the year, beginning on day 361, will overlap the first composite of the following year by 3 days. Processing steps are described in detail here . These composites are created from all the scenes in each 8-day/32-day/1 year period beginning from the first day of the year and continuing to the 360th day of the year. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. The latest version of the GIMMS NDVI dataset is named NDVI3g (third generation GIMMS NDVI from AVHRR sensors). This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... Landsat 2 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. Earth Engine's public data catalog includes a variety of standard Earth science raster datasets. In the troposphere, it acts as an efficient cleansing agent, but ... OFFL/L3_O3_TCL This dataset provides offline tropospheric high-resolution imagery of ozone concentrations between 20N and 20S. The MYD14A1 V6 dataset provides daily fire mask composites at 1km resolution derived from the MODIS 4- and 11-micrometer radiances. The Lithology dataset provides classes of the general types of parent material of soil on the surface. (2009) for details on the TOA computation. The Global Land Survey (GLS) 1975 is a global collection of imagery from the Landsat Multispectral Scanner (MSS). In the Earth Engine Catalog, datasets can have different shapes. The data is produced quarterly, with a typical lag of three months. For more info about the MODIS LST product see this page. It contains the maximum value of the individual pixel classes over the compositing period. ranges in value from -1.0 to 1.0. The Earth Engine Data Catalog has continued to grow over this past year to over 35 petabytes containing over 700 datasets. The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. Methane (CH4) is, after carbon dioxide (CO2), the most important contributor to the anthropogenically enhanced greenhouse effect. The Global Power Plant Database is a comprehensive, open source database of power plants around the world. nearest available IR band otherwise. In most states, these entities are termed "counties". The subset of HYCOM data hosted in EE contains the variables salinity, temperature, velocity, and elevation. It was generated from LIDAR data taken in the spring between 2007 and 2012. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM ... GRACE Tellus Monthly Mass Grids provides monthly gravitational anomalies relative to a 2004-2010 time-mean baseline. The Landsat Net Primary Production (NPP) CONUS dataset estimates NPP using Landsat Surface Reflectance for CONUS. (2009) for details on the TOA computation. Atlantic basin 1851-2018. See also COPERNICUS/S5P/OFFL/L3_O3_TCL for the tropospheric column data. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. The Landsat Gross Primary Production (GPP) CONUS dataset estimates GPP using Landsat Surface Reflectance for CONUS. Landsat 8 Collection 1 DN values, representing scaled, calibrated at-sensor radiance. The NOAA Climate Data Record (CDR) of AVHRR Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) dataset contains derived values that characterize the canopy and photosynthetic activity of plants. OCRA retrieves the cloud fraction using measurements in the UV/VIS spectral regions ... OFFL/L3_CO This dataset provides offline high-resolution imagery of CO concentrations. It contains ground level samples with all other items above ground (such as buildings, bridges, trees etc.) The BLM AIM data archive is ... Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution during 2002-2017 and with spatial range from -60°S to 90°N. The NDVI is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This is an ongoing dataset with a latency of 3-4 days, with only 2020 data currently available. Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The MOD14A2 V6 dataset provides 8-day fire mask composites at 1km resolution. The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. in liquid water content of vegetation canopies. ... Landsat 7 Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Potential Natural Vegetation biomes global predictions of classes (based on predictions using the BIOMES 6000 dataset's 'current biomes' category.) Create a training/testing dataset (in a TFRecord format) using Earth Engine. This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. The collection includes standard Earth science raster datasets as well as derivative products. WorldClim V1 Bioclim provides bioclimatic variables that are derived from the monthly temperature and rainfall in order to generate more biologically meaningful values. Display Night-Time Using NOAA DatasetMore Question: lopet2407@gmail.com Script Builder/GEE Assist? GPP is the amount of carbon captured by plants in an ecosystem and is an essential component in the calculations of Net Primary Production (NPP). (2009) for details on the TOA computation. The data contained in this dataset are units of "Equivalent Water Thickness" which represent the deviations of mass in terms of vertical extent of water in centimeters. This system is ... Proba-V is a satellite mission tasked to map land cover and vegetation growth. The NOAA 1/4 degree daily Optimum Interpolation Sea Surface Temperature (OISST) provides complete ocean temperature fields constructed by combining bias-adjusted observations from different platforms (satellite, ships, buoys) on a regular global grid, with gaps filled in by interpolation. The Earth Engine version of the Fire Information for Resource Management System (FIRMS) dataset contains the LANCE fire detection product in rasterized form. This collection contains global nighttime lights images with no sensor saturation. Main sources of CO are combustion of fossil fuels, biomass burning, and ... OFFL/L3_HCHO This dataset provides offline high-resolution imagery of atmospheric formaldehyde (HCHO) concentrations. OCRA retrieves the cloud fraction using measurements in the UV/VIS spectral ... NRTI/L3_CO This dataset provides near real-time high-resolution imagery of CO concentrations. Use the model to make predictions. The model has been hydrologically conditioned and drainage enforced. LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States. (2014) to eliminate missing data caused by factors such as cloud cover. The dataset is available for four epochs centered on the years 2000, 2005, 2010 ... NASADEM is a reprocessing of STRM data, with improved accuracy by incorporating auxiliary data from ASTER GDEM, ICESat GLAS, and PRISM datasets. The Canadian Digital Elevation Model (CDEM) is part of Natural Resources Canada's (NRCan) altimetry system and stems from the existing Canadian Digital Elevation Data (CDED). Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... Landsat 4 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. The Sentinel-1 mission provides data from a dual-polarization C-band Synthetic Aperture Radar (SAR) instrument. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). The MODIS Net Primary Production (NPP) CONUS dataset estimates NPP using MODIS Surface Reflectance for CONUS. Alaska ... PAD-US is America's official national inventory of U.S. terrestrial and marine protected areas that are dedicated to the preservation of biological diversity and to other natural, recreation and cultural uses, managed for these purposes through legal or other effective means. The Terra and Aqua combined MCD64A1 Version 6 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. Create functions for parse data (TFRecord -> tf.data.Dataset). It is based on the 30m "AVE" band of JAXA's ALOS DEM (available in EE as JAXA/ALOS/AW3D30_V1_1). Landsat 8 Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Landsat 5 TM Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. The ALH is very sensitive to cloud contamination. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... Landsat 4 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Part of this captured rainfall will evaporate again. This collection includes the S1 Ground Range Detected (GRD) scenes, processed using the Sentinel-1 Toolbox to generate a calibrated, ortho-corrected product. The Ocean Near-Surface Atmospheric Properties dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of air temperature, wind speed, and specific humidity over ice-free ocean surfaces. Antartica is not included. The provider has released a schedule for the reprocessing of entire backlog. For the purposes of this tutorial, you'll only expose a few of the datasets in the app. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. The reprocessing of data from 2011 onward in measuring loss, 3. The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. Landfire (LF) Historical fire regimes, intervals, and ... LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Training and Test a Convolutional Neuronal Network using tensorflow 2.0. It is based on the USGS's 10m NED DEM (available in EE as USGS/NED). This table contains the 2010 census Demographic Profile 1 values aggregated by census tract. The MCD43A3 V6 Albedo Model dataset is a daily 16-day product. In these data, elevations can be either ground or reflective surface elevations. Each power plant is geolocated and entries contain information on plant capacity, generation, ... HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. The United States Census Bureau TIGER dataset contains the 2018 boundaries for primary legal divisions of US states. The brightness temperature ... NCEP-DOE Reanalysis 2 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1979 through the previous year. The MODIS Fire_cci Burned Area pixel product version 5.1 (FireCCI51) is a monthly global ~250m spatial resolution dataset containing information on burned area as well as ancillary data. Roughly three-quarters of methane emissions are anthropogenic and as such it is important to continue the record of ... OFFL/L3_CLOUD This dataset provides offline high-resolution imagery of cloud parameters.
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