The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Jul 2017)

FLOWERED-GEODBAPP: AN APPLICATION BASED ON CROWD-GENERATING DATA USING SENTINEL2 IMAGERY

  • M. T. Melis,
  • F. Dessì,
  • P. Loddo,
  • C. La Mantia,
  • S. Da Pelo,
  • A. M. Deflorio,
  • G. Ghiglieri,
  • B. T. Hailu,
  • K. Kalegele,
  • B. N. Mwasi

DOI
https://doi.org/10.5194/isprs-archives-XLII-4-W2-121-2017
Journal volume & issue
Vol. XLII-4-W2
pp. 121 – 127

Abstract

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This study is part of the EU H2020 research Project FLOWERED (de-FLuoridation technologies for imprOving quality of WatEr and agRo-animal products along the East African Rift Valley in the context of aDaptation to climate change). FLOWERED project aims to develop technologies and methodologies at cross-boundary catchment scales to manage the risks associated with high Fluoride water supply in Africa, focusing on three representative test areas along the African Rift Valley (i.e. Ethiopia, Kenya and Tanzania), characterized by high fluoride contents in waters and soils, water scarcity, overexploitation of groundwater and high vulnerability to risks arising from climate change, as drought and desertification. It also is empowering local communities to take responsibility for the integrated-sustainability of the natural resources, growing national and international environmental priorities, enhancing transboundary cooperation and promoting local ownership based on a scientific and technological approach. Within the FLOWERED project, the transition from the land cover to the land use and water use maps is provided through the development of a mobile application (FLOWERED-GeoDBapp ). It is dedicated to the collection of local geo-information on land use, water uses, irrigation systems, household features, use of drinking water and the other information needful for the specific knowledge of water supply involving local communities through participative approach. This system is structured to be populated, through an action of crowd-generating data by local communities (students and people involved mainly by NGOs). The SHAREGEODBapp is proposed as an innovative tool for water management and agriculture institutions at regional and local level.