It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. 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. Datasets tagged ndvi in Earth Engine. The NOAA Climate Data Record (CDR) of AVHRR Normalized Difference Vegetation Index (NDVI) contains gridded daily NDVI derived from the NOAA AVHRR Surface Reflectance product. The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Shuttle Radar Topography Mission (SRTM, see Farr et al. The Tropical Rainfall Measuring Mission (TRMM) is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall. For more information see the MAIAC user guide. intended to emphasize the charcoal signal in post-fire images. It plays a role in chemistry on a local and global scale and its impact ranges from short-term ... OFFL/L3_AER_AI This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI). The mTPI distinguishes ridge from valley forms. 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. It contains ground level samples with all other items above ground (such as buildings, bridges, trees etc.) It was generated from LIDAR data taken in the spring between 2007 and 2012. Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018, IMERG, CHELSA Climate, and WorldClim. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified brightness temperature. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. This dataset contains the 2010 census blocks, roughly equivalent to a city block. about once every two weeks, including multispectral and thermal data. The Earth Engine Explorer lets you quickly search, visualize, and analyze petabytes of geospatial data using Google's cloud infrastructure. Long-term MODIS LST day-time and night-time differences at 1 km based on the 2000-2017 time series Derived using the data.table package and quantile function in R . Using advanced land surface modeling and data assimilation techniques, it generates optimal fields of land surface states and fluxes. Use the model to make predictions. satellites image the entire Earth's surface at a 30-meter resolution Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. See Chander et al. The Earth Engine version of the Fire Information for Resource Management System (FIRMS) dataset contains the LANCE fire detection product in rasterized form. 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. The MOD44W V6 land/water mask 250m product is derived using a decision tree classifier trained with MODIS data and validated with the MOD44W V5 product. Calibration coefficients are extracted from the image metadata. The SRTM Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (SRTM CHILI) and the multi-scale Topographic Position Index (SRTM mTPI) datasets. Results from time-series analysis of Landsat images in characterizing global forest extent and change. Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysisGoogle capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface. In this package you can find hardcoded information about Google Earth Engine available datasets, such as Landsat and Sentinel, and also methods for manipulating those datasets, such as cloud masking and indexes calculations. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... Landsat 3 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. See this example notebook for details. The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter and 8-meter spatial resolutions. The MCD19A2 V6 data product is a MODIS Terra and Aqua combined Multi-angle Implementation of Atmospheric Correction (MAIAC) Land Aerosol Optical Depth (AOD) gridded Level 2 product produced daily at 1 km resolution. (2009) for details on the TOA computation. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified brightness temperature. Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. -1.0 to 1.0. The MCD43A3 V6 Albedo Model dataset is a daily 16-day product. Training and Test a Convolutional Neuronal Network using tensorflow 2.0. The dataset is based on the DSM dataset (5-meter mesh version) of the World 3D Topographic Data. removed. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have ... Landsat 7 Collection 1 Tier 1 and Real-Time data DN values, representing scaled, calibrated at-sensor radiance. ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not ... Landsat 7 Collection 1 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Datasets tagged eu in Earth Engine Copernicus CORINE Land Cover The CORINE (coordination of information on the environment) Land Cover (CLC) inventory was initiated in 1985 to standardize data collection on land in Europe to support environmental policy development. 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. 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. Soil texture classes (USDA system) for 6 soil depths (0, 10, 30, 60, 100 and 200 cm) at 250 m Derived from predicted soil texture fractions using the soiltexture package in R. Processing steps are described in detail here . The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. 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. In the troposphere, it acts as ... OFFL/L3_SO2 This dataset provides offline high-resolution imagery of atmospheric sulfur dioxide (SO2) concentrations. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. This table contains the 2010 census Demographic Profile 1 values aggregated by census tract. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. Carbon monoxide (CO) is an important atmospheric trace gas for understanding tropospheric chemistry. The MYD14A2 V6 dataset provides 8-day fire mask composites at 1km resolution. (2011) for details. Calibration coefficients are extracted from the image metadata. 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 Ocean Heat Fluxes dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of the air/ocean heat fluxes over ice-free oceans. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. In Louisiana, these divisions are known as "parishes". It was designed to provide continuity for the VGT optical instrument from the SPOT-4 and SPOT-5 missions. The temperature value is derived from the MOD11_L2 swath product. Supplementary visualization layers for MERIT Hydro. Non-Methane Volatile Organic Compounds (NMVOCs) are, together with NOx, CO and CH4, ... NRTI/L3_NO2 This dataset provides near real-time high-resolution imagery of NO2 concentrations. Since 2011, the Bureau of Land Management (BLM) has collected field information to inform land health through its Assessment Inventory and Monitoring (AIM) strategy. Low-level data are corrected for atmospheric gases and aerosols. 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. The NASA NEX-GDDP dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. See IMERG monthly This dataset algorithmically merges microwave data from multiple satellites, including SSMI, SSMIS, MHS, AMSU-B and AMSR-E, each inter-calibrated to the TRMM Combined Instrument. Calibration coefficients are extracted from the image metadata. Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Based on machine learning predictions from global compilation of soil profiles and samples. a meteorological observation dataset) to remove historical biases and match spatial patterns ... TerraClimate is a dataset of monthly climate and climatic water balance for global terrestrial surfaces. It is based on the 30m ... Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VNP09GA) product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. filterBounds (area) image_median = image_area. The Sentinel-2 L2 data are downloaded from scihub. There are two primary vegetation layers. In Louisiana, these divisions are known as "parishes". Calibration coefficients are extracted from the image metadata. The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). The MOD13A2 V6 product provides two Vegetation Indices (VI): the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). It contains the maximum value of the individual pixel classes over the compositing period. Antartica is not included. This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. The MYD15A2H V6 MODIS combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is an 8-day composite dataset at 500m resolution. This dataset is the atmospherically corrected surface reflectance from the Landsat 8 OLI/TIRS sensors. Postal Service (USPS) 5-digit ZIP Codes. It contains all the quality information for the corresponding 16-day MCD43A3 Albedo and the MCD43A4 Nadir-BRDF (NBAR) products. See Chander et al. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data. The actual evapotranspiration and interception (ETIa) (dekadal, in mm/day) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. This update of gross forest cover loss includes new 2017 loss-year and multispectral imagery layers. Formaldehyde is an intermediate gas in almost all oxidation chains of non-methane volatile organic compounds (NMVOC), leading eventually to CO2. 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 MOD14A2 V6 dataset provides 8-day fire mask composites at 1km resolution. The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. The ALOS Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (CHILI) and the multi-scale Topographic Position Index (mTPI) datasets. The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation), seasonality (e.g., annual range in temperature and precipitation), and extreme ... WorldClim version 1 has average monthly global climate data for minimum, mean, and maximum temperature and for precipitation. Antartica is not included. Datasets tagged elevation in Earth Engine. The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). For the purposes of this tutorial, you'll only expose a few of the datasets in the app. The main global near-real-time production system is a data assimilation and forecasting suite providing two 5-day forecasts per day for aerosols and chemical ... ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal ... Landsat 7 Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. This dataset is a digital elevation model (DEM) of the Antarctic ice sheet and ice shelves based on observations recorded by the CryoSat-2 satellite radar altimeter between July 2010 and July 2016. Landsat 5 TM Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. These parameters are related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. 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. This global accessibility map enumerates land-based travel time (in minutes) to the nearest hospital or clinic for all areas between 85 degrees north and 60 degrees south for a nominal year 2019. The value of each pixel represents the average daily actual transpiration for that specific dekad. The MOD17A2H V6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite with a 500m resolution. (2014) to eliminate missing data caused by factors such as cloud cover. The version of the dataset available here is Breakline Emphasis, 7.5 arc-seconds resolution. Primary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. Landsat 4 TM Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. 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. ... Landsat 7 Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. The MOD10A1 V6 Snow Cover Daily Global 500m product contains snow cover, snow albedo, fractional snow cover, and quality assessment (QA) data. 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. 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. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. ... Landsat 5 TM Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. The Landsat Net Primary Production (NPP) CONUS dataset estimates NPP using Landsat Surface Reflectance for CONUS. The Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Emissivity Database (ASTER-GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. Atlantic basin 1851-2018. The Global Inland Water dataset shows inland surface water bodies, including fresh and saline lakes, rivers, and reservoirs. standard Earth science raster datasets. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. 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. The Physiographic Diversity dataset provides an index of the diversity of physiographic types. It shows LCMS-modeled change, land cover, and/or land use classes for each year. This dataset is contains orthorectified imagery from the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) sensor on-board the Advanced Land Observing Satellite (ALOS) "DAICHI". The MOD16A2 Version 6 Evapotranspiration/Latent Heat Flux product is an 8-day composite product produced at 500 meter pixel resolution. The collection is updated daily. The NED is a seamless dataset with the best available raster elevation data of the conterminous United States, parts of Alaska, Hawaii, and some territorial islands. MERIT DEM separates absolute bias, stripe noise, speckle noise and ... 'MERIT Hydro is a new global flow direction map at 3 arc-second resolution (~90 m at the equator) derived from the version 1.0.3 of the MERIT DEM elevation data and water body datasets (G1WBM, GSWO and OpenStreetMap). The dataset was constructed by combining the most reliable publicly available datasets and overlaying them with the ESA CCI landcover map for the year 2010 (ESA, ... A national-level map of above-ground live woody biomass density for tropical countries at 500m. The Sea Surface Temperature - WHOI dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of sea surface temperature over ice-free oceans. 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. Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. The difference between observed and ... OFFL/L3_AER_LH This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH). This collection includes the S1 Ground Range Detected (GRD) scenes, processed using the Sentinel-1 Toolbox to generate a calibrated, ortho-corrected product. The MOD13Q1 V6 product provides a Vegetation Index (VI) value at a per pixel basis. The reprocessing of data from 2011 onward in measuring loss, 3. See Chander et al. Each asset is the effort for a given flag state and day, with one band for the fishing activity of each gear type. (2009) for details on the TOA computation. 2007) digital elevation data is an international research effort that obtained digital elevation models on a near-global scale. Earth Engine Explorer (EE Explorer) is a lightweight geospatial image data viewer with access to a large set of global and regional datasets available in the Earth Engine Data Catalogue.It allows for quick viewing of data with the ability to zoom and pan anywhere on Earth, adjust visualisation settings and layer data to inspect change over time. Integrations with programs such as Each asset is the vessel presence for a given flag state and day, with one band for the presence of each gear type. It centralizes power plant data to make it easier to navigate, compare and draw insights. It covers areas where oil palm plantations were detected. 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. Earth Engine's public data catalog includes a variety of standard Earth science raster datasets. The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands 3, 4, 5, and 7. The MODIS Net Primary Production (NPP) CONUS dataset estimates NPP using MODIS Surface Reflectance for CONUS. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... Landsat 3 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Antartica is not included. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... Landsat 5 TM Collection 1 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Part of this captured rainfall will evaporate again. The ALH is very sensitive to cloud contamination. Snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. Near-IR band and a second IR band, ≈1.24μm when available and the The World Database on Protected Areas (WDPA) is the most up-to-date and complete source of information on protected areas, updated monthly with submissions from governments, non-governmental organizations, landowners, and communities. The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1km) grid cells. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. The MYD17A2H V6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite with a 500m resolution. This product is the temperature of terrestrial land surface. A newer version JAXA/GCOM-C/L3/LAND/LAI/V2 is also available for this dataset which uses this algorithm for processing. Each fire has a unique number identifying the event. 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. Shuffle, repeat and batch the data. 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. ... Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. data or vector data for private use or sharing in your scripts. This LIMA dataset is the 16-bit Intermediate LIMA. 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. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not ... Landsat 8 Collection 1 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. The Global Land Survey (GLS) 1975 is a global collection of imagery from the Landsat Multispectral Scanner (MSS). 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. The MCD43C3 Version 6 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Albedo dataset is produced daily using 16 days of Terra and Aqua MODIS data in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). The data is produced quarterly, with a typical lag of three months. The Lithology dataset provides classes of the general types of parent material of soil on the surface.
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