MTF Starter Data

/ MTF 2024

This is an initial assortment of imagery and data for use by MTFers in Linköping. Please let us know if you want more of any particular data type or from a specific location,  Please keep track of any data or images you use so that we can provide you with the appropriate attribution/license statements for public use.

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Pre-processed images

The image collection below is organised thematically (use tags at the top of the page). Click on each thumbnail image to see a more detailed title and caption for context, or to download. Click on the main image again to visit the image source location for additional detail. 

Links to numerical time series data

Below is a selection of thematically-focussed satellite derives geospatial datasets. This collection of non-visual time series data is provided in CSV and GeoJSON formats, and is sourced principally from the ESA CCI Climate Change Initiative


Greenhouse Gases (GHG) CO₂

Glaciers


Lakes


Land Cover 1


Arctic Sea Ice


Land Cover 2


Land Surface Temperature (LST)


Sea Surface Temperature


Information on Datasets


Arctic Sea Ice Extent

ICSV file of late summer (September) sea-ice extent given in million km² in the Arctic as measured by satellites from 1979-2022. https://www.esa.int/ESA_Multimedia/Images/2023/05/Late_summer_sea-ice_extent_in_the_Arctic.


Greenhouse Gases (GHG) CO₂

Includes four csv files that show mole fractions of atmospheric carbon dioxide (XCO2). For more information on this dataset see: https://catalogue.ceda.ac.uk/uuid/070522ac6a5d4973a95c544beef714b4. The data in the csv files is provided in yearly and monthly resolution, on a global scale and restricted to European countries.


Glaciers

Includes several geojson files derived from Glacier Monitoring in Switzerland (GLAMOS) database. https://glamos.ch/en/downloads#inventories/A55f-03as well as ESA-CCI Glaciers team. https://doi.pangaea.de/10.1594/PANGAEA.909133.


Lakes

CSV file of area and count of lakes, monitored by satellites. File has been processed using script available here https://github.com/littlepictures/lakes_area_monitored_from_space.


Land Surface Temperature (LST)

Contains files for global capital cities with maximum and 95th percentile LST per year. The data is given in °C. For more information on this dataset see: https://catalogue.ceda.ac.uk/uuid/6babb8d9a8d247bcb3da6aed42f4b59a. The data in the csv files is provided in yearly resolution, plus a legend file for identification of the cities.


Land Cover 1 (lc-1)

Yearly Land Cover Composition km² of a certain land cover class defined based on the UN Land Cover Classification System (LCCS). The data is given in km². For more information on this dataset see: https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c. The data in the csv files is provided in yearly resolution, on a global scale and one file per country. A file for Europe as a whole is also contained in this repository.


Land Cover 2 (lc-2)

This topic contains two files: rainforest_regions.csv and urban_regions.csv. rainforest_regions.csv lists the change in rainforest cover (measured in km²) with respect to the reference value from 1992 for Brazil and the Australian state Victoria. urban_regions.csv lists the change in urban areas in the same way, just also for the cities of Mogadishu, Guangzhou, and Lagos. For more information on this dataset see: https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c.


Sea Surface Temperature (SST)

Contains four csv files: One with monthly means of global sea surface temperature, one with yearly means. The data is given in Celsius. For more information on this dataset see: https://catalogue.ceda.ac.uk/uuid/62c0f97b1eac4e0197a674870afe1ee6.



Other easy-access data portals

Below are a couple of examples of additional EO (Earth Observation) data browsers that do not require any specialist prior knowledge.