Thumbnail Image

Land cover in the Agno river basin, Phillippines (2021)









Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Land cover of Red River Delta, Viet Nam (2021) 2023
    Also available in:
    No results found.

    Land cover data is vital in understanding livelihoods, food security and both exposure and sensitivity to climatic risks. Land cover data for the Red River Delta is presented to support the GEF-8 Clean and Healthy Oceans Integrated Programme (IP). The overarching aim of the IP is to mitigate coastal pollution from agricultural, industrial, and municipal sources. Therefore, land cover data is crucial in understanding potential sources of pollution across the river basin.
  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Urbanization classes in the Agno river basin, Philippines (2020) 2023
    Also available in:
    No results found.

    Urbanization data is essential in understanding livelihoods, food security, population characteristics and climatic sensitivity. Urbanization classes across the Agno river basin is obtained from the Global Human Settlement Layer (GHSL) to support the GEF-8 Clean and Healthy Oceans Integrated Programme (IP). The overarching aim of the IP is to mitigate coastal pollution from agricultural, industrial, and municipal sources. Therefore, urbanization data is fundamental in understanding the potential pollution sources across the river basin.
  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Assessing water demand in Amu Darya River Basin during winter season 2021-22 2023
    Also available in:
    No results found.

    Better understanding of cropland water demand provides useful guidance for efficient irrigation practices. Potential evapotranspiration can be defined as a proxy of cropland water demand, i.e., the amount of water that can be transferred to the air from land 1 . Potential evapotranspiration was retrieved from MODIS remote sensing imagery and cropland extent from a land cover dataset based on Sentinel 1 and Sentinel 2 data 2,3 . A bivariate map with a hexagon grid (cells of 90 square kilometers) is shown to analyze the water demand and the cropland distribution in the Amu Darya River Basin. This analysis contributes to the Afghanistan Emergency Food Security Project (OSRO/AFG/213/WBK).

Users also downloaded

Showing related downloaded files

No results found.