What four decades of earth observation tell us about land degradation in the Sahel?

Cheikh Mbow, Martin Stefan Brandt, Issa Ouedraogo, Jan de Leeuw, Michael Marshall

    Research output: Contribution to journalJournal articleResearchpeer-review

    72 Citations (Scopus)
    511 Downloads (Pure)

    Abstract

    The assessment of land degradation and the quantification of its effects on land productivity have been both a scientific and political challenge. After four decades of Earth Observation (EO) applications, little agreement has been gained on the magnitude and direction of land degradation in the Sahel. The large number of EO datasets and methods associated with the complex interactions among biophysical and social drivers of ecosystem changes make it difficult to apply aggregated EO indices for these non-linear processes. Hence, while many studies stress that the Sahel is greening, others indicate no trend or browning. The different generations of sensors, the granularity of studies, the study period, the applied indices and the assumptions and/or computational methods impact these trends. Consequently, many uncertainties exist in regression models between rainfall, biomass and various indices that limit the ability of EO science to adequately assess and develop a consistent message on the magnitude of land degradation. We suggest several improvements: (1) harmonize time-series data, (2) promote knowledge networks, (3) improve data-access, (4) fill data gaps, (5) agree on scales and assumptions, (6) set up a denser network of long-term field-surveys and (7) consider local perceptions and social dynamics. To allow multiple perspectives and avoid erroneous interpretations, we underline that EO results should not be interpreted without contextual knowledge.
    Original languageEnglish
    JournalRemote Sensing
    Volume7
    Issue number4
    Pages (from-to)4048-4067
    Number of pages20
    ISSN2072-4292
    DOIs
    Publication statusPublished - 1 Apr 2015

    Bibliographical note

    00000

    Keywords

    • Desertification, drylands, land degradation, NDVI, Productivity, Remote sensing, Sahel, vegetation indices

    Cite this