Pilot 1.6 | Service for SDG 2.4.1 and 15.3.1 indicators assessment:

Pilot 1.6 | Service for SDG 2.4.1 and 15.3.1 indicators assessment:

The project provides informational service on the SDG indicators 2.4.1 “Proportion of agricultural area under productive and sustainable agriculture” and 15.3.1 “Proportion of land that is degraded over total land area” based on the 10 m. agricultural land productivity and crop type mapping on Sentinel-2 data as well as Sen-4-CAP. This project created by Space Research Institute NASU-SSAU – the main scientific research organization on the remote sensing field in Ukraine, ERA-Planet programme member and Copernicus Academy member. The methodology for this pilot was developed within the ERA-Planet programme GEOEssential project. The workflows for data processing, crop type mapping and SDGs indicators assessment was developed and tested within Amazon GEO-Grant using Amazon computational resources. The project is compliant with European initiatives on the SDGs and Sendai Framework and the unique feature of the project is usage of moderate resolution Sentinel-1,2 and Landsat-8 mission images for land degradation assessment on the country and field levels. In addition, the project aims on the extent of the European technologies such as SEN-4-Cap, CREODIAS, GEOEsential workflows for territory of Ukraine and neighboring countries.

The pilot will be implemented for Ukraine and 1 European country on the CREODIAS cloud platform. The main functions of the service will be assessment of the SDG indicators on the country level, regional land productivity assessment, crop maps analysis, agriculture statistics delivery, national SDG report preparation and field level land productivity calculation. The results of the project will valuable for scientific and private-business organizations as well as for academicals sector. Within the Copernicus Academy, Space Research Institute, based on the project results, will prepare training on remote sensing data analysis and MsSci course for Kyiv Academic University on Remote Sensing Data Science.

/ Objectives
  • Assessment of land degradation and SDG indicators
  • Support of UN Convention to Combat Desertification
  • Extension of European technologies for Ukraine and neighboring countries
  • Demonstrate methodologies implementable at national scale in support of ministries
/ Partners

Space Research Institute NASU-SSAU (Ukraine), CREODIAS (Poland), Ukrainian Hydrometeorological Center of the State Emergency Service of Ukraine (Ukraine)

/ Key Users

GEOGLAM, Ministries of Ecology and Natural Resources, Ministries of Agriculture, private companies on the agricultural monitoring and remote sensing data analysis, Universities and Research institutions

/ Key Datasets
  • Earth Observation datasets:
  • Copernicus Sentinel missions(S-1,S-2)
  • Landsat mission
  • EO derived parameters/indices (e.g. LAI, phenology, start of season, end of season crop biomass.)
  • In-situ datasets
  • Crop type
  • Yield data
  • LAI data
  • Meteo datasets/Services:
  • Standard and Open Meteo data and services (e.g. CAMS, NASA-Power)

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