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On-farm reservoir monitoring using Landsat inundation datasets

Author

Listed:
  • Perin, Vinicius
  • Tulbure, Mirela G.
  • Gaines, Mollie D.
  • Reba, Michele L.
  • Yaeger, Mary A.

Abstract

On-farm reservoirs (OFRs)—artificial water impoundments that retain water from rainfall and run-off—enable farmers to store water during the wet season to be used for crop irrigation during the dry season. However, monitoring the inter- and intra-annual change of these water bodies remains a challenging task because they are typically small (< 10 ha) and occur in high numbers. Therefore, we used two existing Landsat inundation datasets—the U.S. Geological Survey Dynamic Surface Water Extent (DSWE) and the European Commission’s Joint Research Centre (JRC) Global Monthly Water History—to assess surface water area change of OFRs located in eastern Arkansas, the third most irrigated state in the U.S. that has seen a rapid increase of OFRs occurrence. We used an existent OFRs dataset as ground-truth. We aimed (i) to compare the performance of the DSWE and the JRC when characterizing OFRs of varied sizes and (ii) to assess the impact of climate variables (i.e., precipitation and temperature) on surface water area of OFRs. We found the highest mean percent errors (MPE) in size (~20%) for OFRs between 0 and 5 ha, the smallest size class in our study. The DSWE had a smaller MPE and higher agreement with our ground-truth dataset when compared to the JRC for OFRs smaller than 5 ha (p-value < 0.05). Both inundation datasets enabled us to estimate the seasonality in surface area change of OFRs, with the highest surface water extent between March–May, the months when the region receives most of the annual precipitation. Our results showed that both DSWE and JRC can be used to enhance hydrological assessments in poorly monitored basins that have a concentration of OFRs, and the methods can be applied to other study regions if the inundation datasets are available.

Suggested Citation

  • Perin, Vinicius & Tulbure, Mirela G. & Gaines, Mollie D. & Reba, Michele L. & Yaeger, Mary A., 2021. "On-farm reservoir monitoring using Landsat inundation datasets," Agricultural Water Management, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:agiwat:v:246:y:2021:i:c:s0378377420322381
    DOI: 10.1016/j.agwat.2020.106694
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    References listed on IDEAS

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    1. Guerra, L. C. & Watson, P. G. & Bhuiyan, S. I., 1990. "Hydrological analysis of farm reservoirs in rainfed rice areas," Agricultural Water Management, Elsevier, vol. 17(4), pages 351-366, March.
    2. Daniel Althoff & Lineu Neiva Rodrigues & Demetrius David Silva, 2020. "Impacts of climate change on the evaporation and availability of water in small reservoirs in the Brazilian savannah," Climatic Change, Springer, vol. 159(2), pages 215-232, March.
    3. Jeremy Meigh, 1995. "The impact of small farm reservoirs on urban water supplies in Botswana," Natural Resources Forum, Blackwell Publishing, vol. 19(1), pages 71-83, February.
    4. Jean-François Pekel & Andrew Cottam & Noel Gorelick & Alan S. Belward, 2016. "High-resolution mapping of global surface water and its long-term changes," Nature, Nature, vol. 540(7633), pages 418-422, December.
    5. Fowe, T. & Karambiri, H. & Paturel, J.-E. & Poussin, J.-C. & Cecchi, P., 2015. "Water balance of small reservoirs in the Volta basin: A case study of Boura reservoir in Burkina Faso," Agricultural Water Management, Elsevier, vol. 152(C), pages 99-109.
    6. Yaeger, Mary A. & Massey, Joseph H. & Reba, Michele L. & Adviento-Borbe, M. Arlene A., 2018. "Trends in the construction of on-farm irrigation reservoirs in response to aquifer decline in eastern Arkansas: Implications for conjunctive water resource management," Agricultural Water Management, Elsevier, vol. 208(C), pages 373-383.
    7. Perin, Vinicius & Sentelhas, Paulo Cesar & Dias, Henrique Boriolo & Santos, Eduardo Alvarez, 2019. "Sugarcane irrigation potential in Northwestern São Paulo, Brazil, by integrating Agrometeorological and GIS tools," Agricultural Water Management, Elsevier, vol. 220(C), pages 50-58.
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