Open-Earth Monitor Science Webinars - 11th edition

• Damiano Oldoni

Image by wallpaperflare

General

Both talks are focussing on research ongoing at the International Institute for Applied Systems Analysis (IIASA).

Exploring In-Situ Data: Definitions, Sources, and Training Applications

Presenter: Steffen Fritz

In-situ data are very important for completing and testing EO satellite data and the software built on such data.

Some interesting links to in-situ data:

Geo-Wiki toolbox is a collection of desktop/mobile applications FotoQuest Go: mobile app for citizen scientists to report land use and land cover. Possibility to earn (a little of) money during the campaigns (2015 and 2018). CropObserve: crop type, phenological stage, damage, management activities; all data is open Picture Pile: Rapid image assessment. For example, do you see deforestation in the picture, Crowd2Train Project: Rapid image assessment again, but more about labelling.

Crowdsourcing land cover and land use reference data using the Geo-Wiki application

Presenter: Linda See

What is the importance of in-situ data? Providing a ground truth for land cover maps. Examples: there are huge disagreements among land cover maps created by software applied to satellite data. And so, the idea of Geo-Wiki was born. The importance of this disagreement analysis is to get the places where in-situ data collection is important. Early campaigns were designed to collect data to solve some questions like “can we validate a map of land availability for biomass and adjust the global estimate?””. This campaign (2011-2012) added 33k data points above the 20k used by the original land cover map.

This talk is strongly based on a letter published as open access: Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience.

To motivate people there were prizes, e.g. authorship in papers, Amazon vouchers. These were thought to motivate people to join for long periods like 6 months.

Examples:

  • Global Cropland Mapping, data in doi.PANGAEA.de 873912, 80 participants
  • GLobal Field Size Campaign, 130 participants, 4 week,s 390 K obs, 110k unique locations validated at least 5 times each, pure.iiasa.ac.at/id/eprint.15526
  • Human Impact on Forests Campaigns, 130 participants, 7 weeks for 4 campaigns, 459k obs, 110k unique locations validated at least 5 times each. More info here: Lesiv et al. 2022, citizen scientist co-authors, in Scientific Data
  • GLobal Built-up Surface Campaign: 61 participants, 7 days, 276k obs, 50k unique locations validated at least 5 times each. Data published in IIASA-PURE repository: dare.iiasa.ac.at/112/. Paper published in Scientific Data.
  • Drivers of Tropical Forest Loss: 58 participants, 2 weeks, 400k obs, 120k unique locations validated at least 3 times each. Data published in IIASA-PURE repo: pure.iiasa.

Additional Tools in Geo-Wiki:

  • links to Google Earth Links to Google Earth Engine applications
  • NDVI time series tool
  • Links to Sentinel Hun and display of imagery time series from Sentinel-2 and Landsat: it helps by giving context
  • Feedback tool
  • Branches for quality checking of visual interpretation
  • Ability to create your own validation sample migrated to LACO-Wiki

Ongoing work:

  • Validation of changes in CORINE (LAMASUS project)
  • Drivers of forest/biomass change (EYE-CLIMA project)
  • Updates to forest management map
  • New version of Geo-Wiki