TY  - JOUR
A1  - Pereira, Bruno
A1  - Medeiros, Pedro Henrique Augusto
A1  - Francke, Till
A1  - Ramalho, Geraldo
A1  - Förster, Saskia
A1  - De Araujo, Jose Carlos
T1  - Assessment of the geometry and volumes of small surface water reservoirs by remote sensing in a semi-arid region with high reservoir density
JF  - Hydrological sciences journal = Journal des sciences hydrologiques
N2  - Water fluxes in highly impounded regions are heavily dependent on reservoir properties. However, for large and remote areas, this information is often unavailable. In this study, the geometry and volume of small surface reservoirs in the semi-arid region of Brazil were estimated using terrain and shape attributes extracted by remote sensing. Regression models and data classification were used to predict the volumes, at different water stages, of 312 reservoirs for which topographic information is available. The power function used to describe the reservoir shapes tends to overestimate the volumes; therefore, a modified shape equation was proposed. Among the methods tested, four were recommended based on performance and simplicity, for which the mean absolute percentage errors varied from 24 to 39%, in contrast to the 94% error achieved with the traditional method. Despite the challenge of precisely deriving the flooded areas of reservoirs, water management in highly reservoir-dense environments should benefit from volume prediction based on remote sensing.
KW  - reservoir volume
KW  - high-density reservoir network
KW  - water height-area-volume curve
KW  - semi-arid
KW  - remote sensing
Y1  - 2019
U6  - https://doi.org/10.1080/02626667.2019.1566727
SN  - 0262-6667
SN  - 2150-3435
VL  - 64
IS  - 1
SP  - 66
EP  - 79
PB  - Routledge, Taylor & Francis Group
CY  - Abingdon
ER  -