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Dynamics of Irrigated Land Expansion in the Ouémé River Basin Using Field and Remote Sensing Data in the Google Earth Engine

Author

Listed:
  • David Houéwanou Ahoton

    (Doctoral School of Agricultural and Water Sciences (DSAWS), University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    National Water Institute, University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    Centre d’Excellence d’Afrique pour l’Eau et l’Assainissement (C2EA), University of Abomey-Calavi, Cotonou 01 BP 526, Benin)

  • Taofic Bacharou

    (Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Cotonou 01 BP 2009, Benin)

  • Aymar Yaovi Bossa

    (National Water Institute, University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    Centre d’Excellence d’Afrique pour l’Eau et l’Assainissement (C2EA), University of Abomey-Calavi, Cotonou 01 BP 526, Benin)

  • Luc Ollivier Sintondji

    (National Water Institute, University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    Centre d’Excellence d’Afrique pour l’Eau et l’Assainissement (C2EA), University of Abomey-Calavi, Cotonou 01 BP 526, Benin)

  • Benjamin Bonkoungou

    (Doctoral School of Agricultural and Water Sciences (DSAWS), University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    National Water Institute, University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    Centre d’Excellence d’Afrique pour l’Eau et l’Assainissement (C2EA), University of Abomey-Calavi, Cotonou 01 BP 526, Benin)

  • Voltaire Midakpo Alofa

    (Doctoral School of Agricultural and Water Sciences (DSAWS), University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    National Water Institute, University of Abomey-Calavi, Cotonou 01 BP 526, Benin
    Centre d’Excellence d’Afrique pour l’Eau et l’Assainissement (C2EA), University of Abomey-Calavi, Cotonou 01 BP 526, Benin)

Abstract

The availability of reliable and quantified information on the spatiotemporal distribution of irrigated land at the river basin scale is an essential step towards sustainable management of water resources. This research aims to assess the spatiotemporal extent of irrigated land in the Ouémé River basin using Landsat multi-temporal images and ground truth data. A methodology was built around the use of supervised classification and the application of an algorithm based on the logical expression and thresholding of a combination of surface temperature (Ts) and normalized difference vegetation index (NDVI). The findings of the supervised classification showed that agricultural areas were 16,003 km 2 , 19,732 km 2 , and 22,850 km 2 for the years 2014, 2018, and 2022, respectively. The irrigated land areas were 755 km 2 , 1143 km 2 , and 1883 km 2 for the same years, respectively. A significant increase in irrigated areas was recorded throughout the study period. The overall accuracy values of 79%, 82%, and 83% obtained during validation of the irrigated land maps indicate a good performance of the algorithm. The results suggest a promising application of the algorithm to obtain up-to-date information on the distribution of irrigated land in several regions of Africa.

Suggested Citation

  • David Houéwanou Ahoton & Taofic Bacharou & Aymar Yaovi Bossa & Luc Ollivier Sintondji & Benjamin Bonkoungou & Voltaire Midakpo Alofa, 2024. "Dynamics of Irrigated Land Expansion in the Ouémé River Basin Using Field and Remote Sensing Data in the Google Earth Engine," Land, MDPI, vol. 13(11), pages 1-17, November.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1926-:d:1522128
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    References listed on IDEAS

    as
    1. Gbetondji Melaine Armel Nonvide & Daniel B. Sarpong & George T-M. Kwadzo & Henry Anim-Somuah & Fulbert Amoussouga Gero, 2018. "Farmers’ perceptions of irrigation and constraints on rice production in Benin: a stakeholder-consultation approach," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 34(6), pages 1001-1021, November.
    2. Mohammad Abuzar & Andy McAllister & Des Whitfield & Kathryn Sheffield, 2020. "Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia," Land, MDPI, vol. 9(9), pages 1-19, September.
    3. René Bodjrènou & Françoise Comandan & Derrick Kwadwo Danso, 2023. "Assessment of Current and Future Land Use and Land Cover in the Oueme Basin for Hydrological Studies," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

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    1. Gbêtondji Melaine Armel Nonvide, 2024. "Impact of Irrigation on Food and Nutrition Security Among Rice Farmers in Benin," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 36(6), pages 1343-1371, December.
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