Open-access remote sensing data for cooperation in transboundary water management

Yalew, S. G.; van der Zaag, P.; Tran, N.B.; Michailovsky, Claire I.; Salvadore, Elga; Borgomeo, E.; Karimi, P.; Pareeth, S.; Seyoum, S. D.; Mul, M.L.

doi:10.1080/02508060.2023.2263226

Open-access remote sensing data for cooperation in transboundary water management

Journal article (2023)

Authors

S. G. Yalew IHE Delft Institute for Water Education

P. van der Zaag IHE Delft Institute for Water Education, Water Resources -

N.B. Tran Water Resources - , IHE Delft Institute for Water Education

Claire I. Michailovsky IHE Delft Institute for Water Education

Elga Salvadore Vrije Universiteit Brussel, IHE Delft Institute for Water Education

E. Borgomeo University of Oxford

P. Karimi IHE Delft Institute for Water Education

S. Pareeth IHE Delft Institute for Water Education

S. D. Seyoum IHE Delft Institute for Water Education

M.L. Mul IHE Delft Institute for Water Education

Research Group

Water Resources () (TU Delft)

DOI: https://doi.org/10.1080/02508060.2023.2263226

Remote sensing Water conflict Cooperative water management Transboundary water management Water data sharing

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Published Date

2023

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Department

Water Management

Research Group

Water Resources

Abstract

Open-access remote sensing products provide data for transboundary water management. This study presents a comprehensive overview of the applications, uncertainties and implications of these remote sensing data products in the context of transboundary water management. Focusing on different stages within the transboundary cooperation continuum, we delineate the potential role and application of remote sensing data at the various stages of this cooperation. Despite the uncertainties and capacity requirements for data acquisition, processing and interpretation, we argue that remote sensing broadens opportunities to monitor, assess, forecast, track or validate compliance in transboundary basins, thereby challenging traditional notions of water data exclusivity.

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