Quantitative Estimation of Main Land Cover Patterns in an Arid Environmental Ecosystem Across Israel-Egypt Border Using Remote Sensing Data

Zhihao Qin, Wenjuan Li, Kebiao Mao, Arnon Karnieli, Pedro Berliner

    Research output: Contribution to conferencePaperpeer-review

    2 Scopus citations

    Abstract

    The linear desert sand dunes stretching across the Israel-Egypt political border not only divides the region into two political regimes but also impacts on the evolution of vulnerable arid ecosystem along two opposite directions: sustainable development vs. increasing desertification. As a result, land cover structure of the region shows a great difference on both sides. Biogenic crust, bare sand, vegetation and playa have been commonly recognized as the main land cover patterns of the region. Three methods including field observation, measurement on aerial image and validation of vegetation cover on Landsat TM image have been employed to quantitatively estimate these land cover patterns. Accordingly, we estimate that, on average, desert vegetation covers ∼18% on the Israeli side and 4.5% on the Egyptian side, biogenic crust occupies ∼71% on the Israeli side and 12% on the Egyptian side, bare sand covers ∼7.5% on the Israeli side and 80% on the Egyptian side, and playa accounts for 3.5% on both sides. This estimate provides a basis to understand the great difference of arid ecosystem evolution on both sides of the border.

    Original languageEnglish
    Pages1879-1881
    Number of pages3
    StatePublished - 24 Nov 2003
    Event2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
    Duration: 21 Jul 200325 Jul 2003

    Conference

    Conference2003 IGARSS: Learning From Earth's Shapes and Colours
    Country/TerritoryFrance
    CityToulouse
    Period21/07/0325/07/03

    Keywords

    • Arid environmental ecosystem
    • Biogenic crust
    • Desert sand dune
    • Israel-Egypt border
    • Land cover
    • Remote sensing

    ASJC Scopus subject areas

    • Computer Science Applications
    • Earth and Planetary Sciences (all)

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