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Authors: Sébastien Gadal 1 ; 2 ; Paul Gérard Gbetkom 1 ; 3 and Alfred Homère Ngandam Mfondoum 4

Affiliations: 1 Aix-Marseille Univ., CNRS, ESPACE UMR 7300, Univ. Nice Sophia Antipolis, Avignon Univ., 13545 Aix-en-Provence, France ; 2 North-Eastern Federal University, 670000 Yakutsk, Republic of Sakha, Russian Federation ; 3 Laboratory of Botanic, Mycology, and Environment, University Mohammed V Rabat, 1014, 4 avenue ibn Battuta, Rabat, Morocco ; 4 StatsN’Maps, Private Consulting Firm, 19002, Dallas, Parkway, Suite 1536, Dallas, Texas 72587, U.S.A.

Keyword(s): Vegetation Indices, Soil Indices, Statistics Analysis, Lake Chad, Sentinel 2.

Abstract: This paper aims to model the soil degradation risk along the Cameroonian shores of Lake Chad. The processing is based on a statistical analysis of spectral indices of sentinel 2A satellite images. A total of four vegetation indices such as the Greenness Index and Disease water stress index and nine soil indices such as moisture, brightness, or organic matter content are computed and combined to characterize vegetation cover and bare soil state, respectively. All these indices are aggregated to produce one image (independent variable) and then regressed by individual indices (dependent variable) to retrieve correlation and determination coefficients. Principal Component Analysis and factorial analysis are applied to all spectral indices to summarize information, obtain factorial coordinates, and detect positive/negative correlation. The first factor contains soil information, whereas the second factor focuses on vegetation information. The final equation of the model is obtained by we ighting each index with both its coefficient of determination and factorials coordinates. This result generated figures cartography of five classes of soils potentially exposed to the risk of soil degradation. Five levels of exposition risk are obtained from the "Lower" level to the "Higher": the "Lower" and "Moderate to low" levels occupy respectively 25,214.35 hectares and 130,717.19 hectares; the "Moderate" level spreads 137,404.34 hectares; the "High to moderate" and "Higher" levels correspond respectively to 152,371.91 hectares and 29,175.73 hectares. (More)

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Paper citation in several formats:
Gadal, S.; Gbetkom, P. and Mfondoum, A. (2021). A New Soil Degradation Method Analysis by Sentinel 2 Images Combining Spectral Indices and Statistics Analysis: Application to the Cameroonians Shores of Lake Chad and Its Hinterland. In Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-503-6; ISSN 2184-500X, SciTePress, pages 25-36. DOI: 10.5220/0010521200250036

@conference{gistam21,
author={Sébastien Gadal. and Paul Gérard Gbetkom. and Alfred Homère Ngandam Mfondoum.},
title={A New Soil Degradation Method Analysis by Sentinel 2 Images Combining Spectral Indices and Statistics Analysis: Application to the Cameroonians Shores of Lake Chad and Its Hinterland},
booktitle={Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2021},
pages={25-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010521200250036},
isbn={978-989-758-503-6},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - A New Soil Degradation Method Analysis by Sentinel 2 Images Combining Spectral Indices and Statistics Analysis: Application to the Cameroonians Shores of Lake Chad and Its Hinterland
SN - 978-989-758-503-6
IS - 2184-500X
AU - Gadal, S.
AU - Gbetkom, P.
AU - Mfondoum, A.
PY - 2021
SP - 25
EP - 36
DO - 10.5220/0010521200250036
PB - SciTePress