LVBC Online IWRM Resources

Since 2014, the Japan Aerospace Exploration Agency (JAXA) has proceeded the project to develop the precise global digital 3D map �ALOS World 3D� (AW3D)*1 covering the global land areas through the use of 3 million scene archives acquired by the PRISM panchromatic optical sensor on the Advanced Land Observing Satellite "DAICHI" (ALOS) operated from 2006 to 2011. The developed digital 3D map consists of digital elevation model (DEM) or digital surface model (DSM) that can represent land terrains with approximately 5 meters in spatial resolution and orthorectified PRISM nadir looking images.

https://www.eorc.jaxa.jp/ALOS/en/aw3d30/data/index.htm

Satellite based Thermal Emission and Reflection data. E.g. land surface temperatures, snow cover, water vapour

https://earthexplorer.usgs.gov/

The Agricultural Stress Index (ASI) is a quick-look indicator that facilitates the early identification of cropped land with a high likelihood of water stress (drought). The Index is based on the integration of the Vegetation Health Index (VHI)

http://www.fao.org/giews/earthobservation/asis/index_1.jsp

Human impact-, land use-, ecosystems and water resources data. Not accessible during testing?

http://kids.fao.org/agromaps/

Water levels, wind and wave data.

https://blueearthdata.org/

General Country data and information, updated yearly

https://www.cia.gov/the-world-factbook/

The project eartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It integrates available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle.

https://cordis.europa.eu/project/id/603608

Global climatologies at resolution for land surface temperature and precipitation, Geotiff, 30 arc sec (~1 km) resolution.

https://www.globalclimatemonitor.org/

Chlorophyll Concentration (8 day - Aqua/MODIS)

https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MY1DMW_CHLORA

LV, raster, 7/2002 to 2/2021 generated from MODIS Aqua sourced from http://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/4 km/chlor_a

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/Q5UCVE

Remote Sensing & Gridded Weather and Climate Data

https://climateengine.org/data

various climate change datasets.

https://earthexplorer.usgs.gov/

GIS climate change scenario data.

https://esg-dn1.nsc.liu.se/projects/esgf-liu/

download link not working?

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/EEAWTM

Online platform for numerous data for vegetation, water, temperature and climate

https://land.copernicus.eu/global/

Crop data. Some download links broken?

https://archive.vn/20131104102048/http://www.sage.wisc.edu/atlas/maps.php

crop data

https://web.archive.org/web/20090901080647/ http://www.sage.wisc.edu/download/sacks/crop_calendar.html

Website that hosts a number of common indices, e.g. SWI, NDVI

https://ipad.fas.usda.gov/cropexplorer/imageview.aspx?regionid=eafrica

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Dominance Global 1 km dataset was created using AVHRR, SPOT, MODIS remote sensing data; crop type data, secondary elevation data; 50-year precipitation and 20-year temperature data; reference sub-meter to 5 meter resolution ground data; and country statistic data.

https://lpdaac.usgs.gov/products/gfsad1kcdv001/

Global DEM, 1 Arc resolution, approximately 30m raster size. Data from 2000 shuttle mission. Already assembled.

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/MUVMII

River flow forcasting

https://watertools-portal.azurewebsites.net/portal/workspaces/nile+basin+forecasting+system/applications/river+flow+forecasting/landing

Daily Potential Evapotranspiration, global datset.

https://earlywarning.usgs.gov/fews/product/81

This data set is used for verification by NOAA/CPC. The data is global GTS data and is gridded using the Shepard Algorithm. The values are the max/min for 6Z-6Z.

https://psl.noaa.gov/data/gridded/data.cpc.globaltemp.html

List of major data portals for open source datasets, provided by Deltares.

https://publicwiki.deltares.nl/display/DDP/External+Portals

Data from 2000

http://dx.doi.org/10.7927/H4R49NQV

Limited water quantity and water quality data available from the previous FS project

https://livingatlas.arcgis.com/waterbalance/

Tri-Decadal Global Landsat orthorectified mosaic data collections are derived from a global set of relatively cloud-free orthorectified ETM+ Pan-Sharpened imagery from Landsat 7. Data from 1993 - 2003.

https://earthexplorer.usgs.gov/

Earth Engine Data Catalog

https://developers.google.com/earth-engine/datasets/

Global DEM, 1ARCSec resolution.

https://earthexplorer.usgs.gov/

Online map viewer and download tool for climate, vegetation, water, land degradation, geological, fire, biodiversity and GHG data.

https://earthmap.org

EDDI is an experimental indicator of drought severity and a promising tool for early warning guidance. This indicator is based solely on atmospheric evaporative demand

https://www.chc.ucsb.edu/data/eddi

Various ET datasets provide dby FEWS.

https://earlywarning.usgs.gov/fews/datadownloads/Continental%20Africa/Monthly%20ET%20Anomaly

Land use data which contains statistics on primary food crops, aggregated by sub-national administrative districts, on crop production, area harvested and crop yields. Most data records stop in 2012.

http://www.fao.org/land-water/land/land-governance/land-resources-planning-toolbox/category/details/en/c/1026341/

Terrain soil and land cover data.

http://www.fao.org/soils-portal/soil-survey/soil-maps-and-databases/harmonized-world-soil-database-v12/en/

Food supply, Agriculture.

https://fews.net/

Fish cages, Fish farms, and aquaculture areas 2019.

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BPZTM8

Not real fish nets, approx. 17km x 18km grid over LV.

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UWVRBM

Data from 2000

http://dx.doi.org/10.7927/H4R49NQV

Flow accumulation, LV watershed, raster, 2000 Original data from: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/68IYCX

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/68IYCX

Flow direction, LV watershed, raster, 2000 original data from: from: http://srtm.csi.cgiar.org

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ITG2Q7

Limited water quantity and water quality data available from the previous FS project

https://geoglows.ecmwf.int/

Global Land Cover Characterization (GLCC) is a series of global land cover classification datasets that are based primarily on the unsupervised classification of 1-km AVHRR (Advanced Very High Resolution Radiometer) 10-day NDVI (Normalized Difference Vegetation Index ) composites

https://earthexplorer.usgs.gov/

The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms that separately estimate the different components of land evaporation (often referred to as 'evapotranspiration�): transpiration, bare-soil evaporation, interception loss, open-water evaporation and sublimation. Additionally, GLEAM provides surface and root-zone soil moisture, potential evaporation and evaporative stress conditions.

https://www.gleam.eu/#datasets

Terrestrial Water Storage data. Allows for totalw ater storage change estimation, approcimately on monthly basis.

https://gracefo.jpl.nasa.gov/data/grace-fo-data/

The GRDC is an international archive of data up to 200 years old, and fosters multinational and global long-term hydrological studies. Originally established three decades ago, the aim of the GRDC is to help earth scientists analyse global climate trends and assess environmental impacts and risks. Operating under the auspices of WMO the database of quality controlled �historical� mean daily and monthly discharge data grows steadily and currently comprises river discharge data of well over 10,000 stations from 159 countries.

https://www.bafg.de/GRDC/EN/Home/homepage_node.html

Population and county statistics, Spot datasets, not covering entire LVB?

https://geohive.ie/catalogue.html#gallery

Maps for purchase.

https://www.orrbodies.com/maps/

Geological maps of Kenya.

https://www.samsamwater.com/maps/kenya/geology.php

The Global Forecast System (GFS) is a global numerical weather prediction system containing a global computer model and variational analysis run by the U.S. National Weather Service (NWS). The GFS is run four times a day, and produces forecasts for up to 16 days in advance. The forecast component uses the FV3 model with a resolution of ~13 km. In the vertical, the model is divided into 127 vertical layers.

https://www.emc.ncep.noaa.gov/emc/pages/numerical_forecast_systems/gfs.php

Climate summaries from land surface stations across the world, Possibly limited data for LVB?

http://chelsa-climate.org/downloads/

Global Lakes and Wetlands Data

https://www.worldwildlife.org/publications/global-200

Global Land Surveys (GLS) datasets. This collection contains images acquired from 1972 to 2012. Resolution 15m from latest Landsat 7 images.

https://earthexplorer.usgs.gov/

Global Map Global Version is raster data which cover the globe in a single dataset and have three layers: Elevation; Land Cover; and Vegetation

http://geodata.grid.unep.ch/ https://www.gsi.go.jp/kankyochiri/gm_global_e.html

Reservoir/lake level data.

https://ipad.fas.usda.gov/cropexplorer/global_reservoir/ https://ipad.fas.usda.gov/cropexplorer/global_reservoir/gr_regional_chart.aspx?regionid=eafrica&reservoir_name=Victoria_1

Min, Max Temperature; Precipitation; Wind; Relative Humidity and Solar, from 1979 - 2014

https://earthexplorer.usgs.gov/

Global climate data such as temperature, rainfall an evapotranspiration

http://iridl.ldeo.columbia.edu/

Weather, climate and soil datasets.

https://swat.tamu.edu/media/99082/cfsr_world.zip

Google Earth Engine Data Catalogue

https://developers.google.com/earth-engine/datasets/

Limited water quantity and water quality data available from the previous FS project

https://apps.geoglows.org/apps/

HWSD is a global soil database framed within a Geographic Information System (GIS) and contains up-to-date information on world soil resources.

https://webarchive.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML/HWSD_Data.html?sb=4

LVB Basin, LV watershed (inside), vector polygon, ~2015 Generated using the ArcGIS hydrology watershed process on 90 m SRTM.

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/Z5RMYD

This is the HydroATLAS dataset, version 1.0

https://figshare.com/articles/dataset/HydroATLAS_version_1_0/9890531

HydroWASTE is a spatially-explicit global database of 58,502 WWTPs and their characteristics. This database was developed by combining national and regional datasets with auxiliary information to derive or complete missing WWTP characteristics, including the amount of people served. A high-resolution river network with streamflow estimates (HydroATLAS: https://doi.org/10.6084/m9.figshare.9890531) was used to georeference WWTP outfall locations and calculate each plant’s dilution factor (i.e., the ratio of the natural discharge of the receiving waterbody to the WWTP effluent discharge).

https://figshare.com/articles/dataset/HydroWASTE_version_1_0/14847786/1

Catchments and river data derived of SRTM Flow accumulation and flow direction data. 15 Arc resolution.

https://www.hydrosheds.org/

Climate, food, precipitation and crop datasets from IGAD Cliamte prediction and application centre.

https://www.icpac.net/open-data-sources/

Climate data, including agricultural data

http://gisclimatechange.ucar.edu/

Soil profiles, nutrient content, pH etc.

https://data.isric.org/geonetwork/srv/eng/catalog.search#/home

The map shows the amount of area equipped for irrigation around the year 2005 in percentage of the total area on a raster with a resolution of 5 minutes.

http://www.fao.org/aquastat/en/geospatial-information/global-maps-irrigated-areas/latest-version

Islands LV, vector polygon, ~2015

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/E0515D

Water body levels. Current levels from Jason-3 sensor

https://www.ncei.noaa.gov/products/jason-satellite-products https://ipad.fas.usda.gov/cropexplorer/global_reservoir/gr_regional_chart.aspx?regionid=eafrica&reservoir_name=Victoria_1&lakeid=000314

This TIFF was created from running an Ordinary Kriging on points that were obtained from taking digitized points from an Admiral Bathymetry map and points collected in the field as well as from other maps. These points were combined into the same file and had their depths converted to the same unit (meters). All points that were outside of the LV shoreline polygon were removed.

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SOEKNR

LV watershed boundary, base don 90m cell SRTM raster data

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/G8JMAS

LVB catchments provided by PCU.

LVB catchment polygon generated by IPC from 30m raster file (ASTER 1 Arc)

download link not working?

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/EDQA1C

Various land cover datasets

https://land.copernicus.eu/global/content/annual-100m-global-land-cover-maps-available

download link not working?

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/I8YM8G https://drive.google.com/drive/folders/0B0A7-n4PmIvhRFNieGV6ekZtaWM

Landsat 4 - 8. Landsat 8 OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor) 15 (panchromatic) - to 30 (multispectral)- meter multispectral data from Landsat 8. Enhanced Thematic Mapper Plus (ETM+) 15- to 30-meter multispectral data from Landsat 7. Data from 1999 to present. Thematic Mapper (TM) Level-1 30-meter multispectral data from Landsats 4 and 5. Data from 1982 to 2012. Multispectral Scanner (MSS) Level-1, collected at 80-meter multispectral data from Landsats 1 - 5. Data was processed to 60-meter pixel size. Data from 1972-1992.

https://earthexplorer.usgs.gov/

Landsat 2 - 8. Surface Reflectance Level-2 Data Products at a 30-meter spatial resolution can be ordered for Landsat 8 OLI/TIRS Collection 1 scenes. Data from 2013-present. Surface Reflectance Higher-Level Data Products at a 30-meter spatial resolution can be ordered for Landsat 7 Enhanced Thematic Mapper Collection 1 scenes. Data from 1999 � present. Surface Reflectance Higher-Level Data Products at a 30-meter spatial resolution can be ordered for Landsat 4-5 Thematic Mapper Collection 1 scenes. Data from 1982 � 2012.

https://earthexplorer.usgs.gov/

Limited water quantity and water quality data available from the previous FS project - Feasibility Study for the Lake Victoria Basin Integrated Water Resources Management Programme with High Priority Investments

Collection of land cover, land surface reflection, surface temperatures, thermal anomalies, evapotranspiration, etc. -data.

https://earthexplorer.usgs.gov/

Tri-Decadal Global Landsat Orthorectified single scene data collection consisting of a global set of relatively cloud-free orthorectified MSS Landsat 1-5. Data from 1972 � 1987.

https://earthexplorer.usgs.gov/

Daily and monthy max. temperature data.

https://www.chc.ucsb.edu/data/chirtsmonthly

PET and ET (limited availability for LVB).

http://www.ntsg.umt.edu/project/modis/mod16.php https://crudata.uea.ac.uk/cru/data/hrg/#info

The goal of the MOD17 MODIS project is to provide continuous estimates of Gross/Net Primary Production (GPP/NPP) across Earth�s entire vegetated land surface. MOD17 GPP/NPP outputs are useful for natural resource and land management, global carbon cycle analysis, ecosystem status assessment, and environmental change monitoring.

https://www.ntsg.umt.edu/project/modis/mod17.php

2000-2015: Monthly Means of Daily Means Wind Speed TIFFs for the LV region

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FQBKX5

raster file or world population rom 2017

https://sedac.ciesin.columbia.edu/data/collection/gpw-v4

various datasets for NB

http://ikp.nilebasin.org/en/content/data-knowledge https://nilebasin.org/hub/

Climate and weather data.

https://www.ncei.noaa.gov/products

NOAA Climate Data Records provide historical climate information using data from weather satellites. This dataset contains daily Normalized Difference Vegetation Index derived from surface reflectance data acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensor. Data from 1981 to 2013.

https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-based-datasets/global-historical-climatology-network-ghcn

NOAA Climate Data Records provide historical climate information using data from weather satellites. This dataset contains daily Normalized Difference Vegetation Index derived from surface reflectance data acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensor. Data from 1981 to 2013.

https://earthexplorer.usgs.gov/

Public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales.

https://www.naturalearthdata.com/downloads/

base data like country boundaries, rivers, lakes, major streets, airports, etc. Grouped in cultural, physical and raster datasets.

https://www.naturalearthdata.com/downloads/

GIS base layers like rivers, some land use, roads, railways, PoI. Not free but available for approx. 40 EUR

https://data.nextgis.com/en/?lvl=countries

Boundary of Nile Basin and its sub-catchments, including LVB.

Oil/Gas, Dams and Sanitation datasets.

https://www.infonile.org/datasets/

Graphical indicator to analyse remote sensing measurements to assess whether live green vegetation is present.

http://modis-land.gsfc.nasa.gov/vi.html

Various environmental datasets, potentially not covering entire LVB.

http://datadownload.unep-wcmc.org/datasets

Repository for environmental public data sets

http://edc.occ-data.org/

Open street map layer data (use e.g. in QGIS with QuickmapServices).

https://www.openstreetmap.org

Panchromatic images from 2007

https://earthexplorer.usgs.gov/

Extent of pasturelands. MODIS and SPOT sensor data.

https://sedac.ciesin.columbia.edu/data/set/aglands-pastures-2000

Population density 2010, 2015 and 2020

https://beta.sedac.ciesin.columbia.edu/data/set/gpw-v4-population-density

Pour point at Jinja, UG.

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PJC1MJ

RCMRD GeoPortal is a platform for disseminating open geospatial datasets and maps for the Eastern and Southern Africa region. RCMRD has partnered with SERVIR-Eastern and Southern Africa to develop the platform for improved utilization of geospatial data within member states to enhance decision making.

http://geoportal.rcmrd.org/

Climate Hazards center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall data set. Spanning 50�S-50�N (and all longitudes), starting in 1981 to near-present, 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. As of February 12th, 2015, version 2.0 of CHIRPS is complete and available to the public.

https://data.chc.ucsb.edu/products/CHIRPS-2.0/EAC_monthly/tifs/

GPCC Global Precipitation Climatology Centre monthly precipitation dataset from 1901-present is calculated from global station data

https://psl.noaa.gov/data/gridded/data.gpcc.html#plot

Rainfall deviation 30-day (GPM)

https://pmm.nasa.gov/GPM

The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks- Climate Data Record (PERSIANN-CDR) provides daily rainfall estimates at a spatial resolution of 0.25 degrees in the latitude band 60S - 60N from 1983 to the near-present.

http://chrsdata.eng.uci.edu https://www.ncei.noaa.gov/data/precipitation-persiann/access/

TAMSAT is the acronym for Tropical Application of Meteorology Using Satellite Data and Ground-Based Observations which is a rainfall estimation and quality assessment system providing high-resolution (~4 km) , 10-daily (or monthly) pan-African rainfall estimates.

https://www.cen.uni-hamburg.de/en/icdc/data/atmosphere/tamsat-rainfall-africa.html https://gws-access.jasmin.ac.uk/public/tamsat/rfe/data/v3.1/daily/ http://www.tamsat.org.uk/sites/data-download/index.html

TRMM was a research satellite in operation from 1997 to 2015, designed to improve our understanding of the distribution and variability of precipitation within the tropics as part of the water cycle in the current climate system. By covering the tropical and sub-tropical regions of the Earth.

https://gpm.nasa.gov/data

Generated from flow analysis. No real rivers. Derived from World Wildlife Fund (WWF) HydroSHEDS

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ITMMCB

Water quantity and water quality data.

https://waterportal.rwb.rw/

The SPOT (from French "Satellite pour l'Observation de la Terre") series has been supplying high-resolution, wide-area optical imagery since 1986. Conceived by the French National Centre for Space Studies (CNES), five satellites were launched between 1986 and 2015, and in revealing Earth�s surface in detail they led to new applications in mapping, vegetation monitoring, land use and land cover, and the impacts of natural disasters. The latest satellites in the series, SPOT 6 and SPOT 7, are commercial satellites owned by Airbus Defence and Space, and assure data continuity through to 2024. All of the SPOT satellites provide imagery in Panchromatic and Multispectral bands with a swath of 60 km.

https://earth.esa.int/eogateway/missions/spot

Weather station data, from 1960 � 2006.

https://globalweather.tamu.edu/

Tri-Decadal Global Landsat orthorectified single scene data collection consisting of a global set of relatively cloud-free orthorectified Systematic Correction (Level 1G) Landsat 7. Data from 2000 � 2003.

https://earthexplorer.usgs.gov/

FAO soil Google Earth layer.

https://www.samsamwater.com/samsamwater.kmz

With the objectives of Land and Ocean monitoring, Sentinel-1 will be composed of two polar-orbiting satellites operating day and night, and will perform Radar imaging, enabling them to acquire imagery regardless of the weather. The first Sentinel-1 satellite was launched in April 2014. The objective of Sentinel-2 is land monitoring, and the mission will be composed of two polar-orbiting satellites providing high-resolution optical imagery. Vegetation, soil and coastal areas are among the monitoring objectives. The first Sentinel-2 satellite was launched in June 2015. The primary objective of Sentinel-3 is marine observation, and it will study sea-surface topography, sea and land surface temperature, ocean and land colour. Composed of three satellites, the mission's primary instrument is a radar altimeter, but the polar-orbiting satellites will carry multiple instruments, including optical imagers.

https://scihub.copernicus.eu/dhus/#/home

Tif files, not projected, no legend, only coloured cells.

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HELASQ

Soil moisture content is monitored using the Soil Water index (SWI) product. Soil moisture can indicate plant water deficiencies earlier than vegetation indices can do.

http://land.copernicus.eu/global/products/swi

ESRI soil maps

https://www.arcgis.com/home/item.html?id=06e5fd61bdb6453fb16534c676e1c9b9

Collection of websides related to Hydrodata, e.g. groundwater, soil moistur,

https://spatialagent.org/HydroInformatics/

LV sub-basins

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/LCW9VA

download link not working?

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KCAQ3I

download link not working?

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JVPVTU

max. water extend (1984-2015), Water seasonality, Water occurrence (1984-2015), Water occurrence change, Water transitions

https://global-surface-water.appspot.com/

TAHMO) aims to develop a vast network of weather stations across Africa. Current and historic weather data is important for agricultural, climate monitoring, and many hydro-meteorological applications

https://tahmo.org/

TAMSAT produces daily rainfall estimates for all of Africa at 4km resolution. The TAMSAT archive spans 1983 to the delayed present. The longevity of the dataset makes it especially suitable for risk assessment. Applications of the data include famine early warning, drought insurance and agricultural decision support. Rainfall estimates and other TAMSAT products are issued on the 1st, 6th, 11th, 16th, 21st, and 26th of the month. All TAMSAT data are released for operational, research and commercial use under a creative commons license.

https://urldefense.com/v3/__http://www.tamsat.org.uk/data-subset/index.html__;!!HBVxBjZwpQ!jPMqrWW5Roq_-mPBoRrrmmFqRDg4nPqwnteClxuCtZe0o-l1tXrA6Gg7SQpFUvi7KYy7kcor$ https://urldefense.com/v3/__http://www.tamsat.org.uk/sites/data-download/index.html__;!!HBVxBjZwpQ!jPMqrWW5Roq_-mPBoRrrmmFqRDg4nPqwnteClxuCtZe0o-l1tXrA6Gg7SQpFUvi7KQjRWHTP$

Tri-Decadal Global Landsat Orthorectified mosaic data collections are derived from a global set of relatively cloud-free orthorectified TM imagery from Landsat 4 and 5. Data from 1984 � 1997.

https://earthexplorer.usgs.gov/

Land Surface Temperature and Emissivity from MOD11C2 Version 6 sensor

https://lpdaac.usgs.gov/products/mod11c2v006/

Time series of water levels in the rivers and lakes around the world

http://hydroweb.theia-land.fr/hydroweb/

Various environmental datasets, potentially not covering entire LVB.

https://www.worldwildlife.org/pages/global-lakes-and-wetlands-database

The Environmental Data Explorer is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. Its online database holds more than 500 different variables, as national, subregional, regional and global statistics or as geospatial data sets (maps), covering themes like Freshwater, Population, Forests, Emissions, Climate, Disasters, Health and GDP. Display them on-the-fly as maps, graphs, data tables or download the data in different formats.

https://geodata.grid.unep.ch/

Includes global forest cover, global potential evapotranspiration, global average monthly temperatures, dams, watershed boundaries, and much more. Use the advanced search to select geospatial data sets

https://weatherspark.com/

Includes global forest cover, global potential evapotranspiration, global average monthly temperatures, dams, watershed boundaries, and much more. Use the advanced search to select geospatial data sets

https://geodata.grid.unep.ch/

United States geological Service platform for satellite based data

https://earthexplorer.usgs.gov/

Global DEM, with 30-, 15-, and 7.5-arc-second spatial resolutions, replaces GTOPO30.

https://earthexplorer.usgs.gov/

global coverage of topographically derived data sets, including streams, drainage basins and ancillary layers derived from the USGS' 30 arc-second digital elevation model of the world (GTOPO30).

https://earthexplorer.usgs.gov/

Global DEM with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometre). Outdated.

https://earthexplorer.usgs.gov/

Global DEM, 1 Arc resolution, approximately 30m raster size. Data from 2000 shuttle mission.

https://earthexplorer.usgs.gov/

terrain elevation data have been edited to portray water bodies that meet minimum capture criteria. Ocean, lake and river shorelines were identified and delineated. Lake elevations were set to a constant value. Ocean elevations were set to zero. Rivers were stepped down monotonically to maintain proper flow. !Arc resolution.

https://earthexplorer.usgs.gov/

The vegetation greenness index (VCI)9 can be combined with temperature drought index (TCI) to form the Vegetation health index (VHI). VCI focuses on the impact of drought on vegetation and provides information on the onset, duration and severity of drought. This index compares the current vegetation and temperature conditions in the latest 16-day period with the long-term historical values calculated for the period 2000 to present

https://www.droughtmanagement.info/vegetation-health-index-vhi/

Dataset compilation from World Bank

https://spatialagent.org/KIDS/

Global patterns of biodiversity to identify a set of the Earth's terrestrial, freshwater, and marine ecoregions that harbor exceptional biodiversity and are representative of its ecosystems

https://www.worldwildlife.org/publications/global-200

FAO portal to monitor Water Productivity through Open access of Remotely sensed derived data, monitors and reports on agriculture water productivity over Africa and the Near East. ET, Temp., Transpiration, Land classification

https://wapor.apps.fao.org/catalog/1

The Water Bodies product detects the areas covered by inland water along the year providing the maximum and the minimum extent of the water surface as well as the seasonal dynamics. The area of water bodies is identified as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS).

http://land.copernicus.eu/global/products/wb

Current weather data.

http://www.worldclimate.com/

download link not working?

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/WDLZGR

download link not working?

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VI4LPV

Earth Engine Data Catalog

https://maps.worldbank.org/datasets

world climate data.

https://www.ncdc.noaa.gov/cdo-web/

The files contain annual average of TP loadings (sector specific and total) loadings to the 100 world largest lakes for the periods 1990-1994, 1995-1999, 2000-2004, and 2005-2010. Loadings are given as kg/yr/catchment area the average total bruto/netto loadings indicate the loadings without/with retention in the surface water of a lake catchment.

https://zenodo.org/record/1094983#.YaoFLtDMKUk

aWhere world weather data

https://apps.awhere.com/landing?redirect=%2Fhome

in time Weather API and climate change data

https://apps.awhere.com/landing?redirect=%2Fhome

Up to date (March 2022) no pollutants data is available at LVBC through the LVB IWRM Programme

Online dataset access through Deltares Global Forecasting System (GFS).