2022
DOI: 10.1029/2022gl098729
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Detecting Streamflow in Dryland Rivers Using CubeSats

Abstract: Intermittent rivers and ephemeral streams (IRES), which do not have continuous water throughout the year, are globally prevalent (Busch et al., 2020;Messager et al., 2021), especially in arid and semiarid regions, often referred to as drylands (Hammond et al., 2021). IRES within global drylands play critical roles as sources of

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Cited by 5 publications
(6 citation statements)
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“…The approach would enable the production of hydrographic maps that better reflect the dynamic connections between all segments in river networks. Remote-sensing platforms with synthetic aperture radar (SAR) are better able to capture surface water blocked by clouds, vegetation or shadows than multi-spectral platforms such as LandSat or CubeSat 166,167 . Future use of high spatial and temporal resolution SAR datasets (for example, from NASA-ISRO SAR) to map NPRs, in tandem with advances in data interpretation 168 , could support better integration of NPRs in distributed hydrological models 169 .…”
Section: [H2] Improving River Network Managementmentioning
confidence: 99%
“…The approach would enable the production of hydrographic maps that better reflect the dynamic connections between all segments in river networks. Remote-sensing platforms with synthetic aperture radar (SAR) are better able to capture surface water blocked by clouds, vegetation or shadows than multi-spectral platforms such as LandSat or CubeSat 166,167 . Future use of high spatial and temporal resolution SAR datasets (for example, from NASA-ISRO SAR) to map NPRs, in tandem with advances in data interpretation 168 , could support better integration of NPRs in distributed hydrological models 169 .…”
Section: [H2] Improving River Network Managementmentioning
confidence: 99%
“…For the 2018 event, areas inside channels showed a much lower ΔNIR than those outside the channel (Figure 4b). The contrasting behavior of ΔNIR when water was present in the channel was also observed in a nearby ephemeral river [30]. By using an ΔNIR threshold of −0.05, a flood extent map of the 2018 event was generated (Figure 4e).…”
Section: Flood Mapping From Cubesat Nir Imagerymentioning
confidence: 78%
“…The CubeSat fleet provides imagery in the visible (red, blue, and green) and near-infrared (NIR) bands with 3 m resolution on a near daily basis. With the combination of very high spatial and temporal resolution, PS imagery is emerging as a useful tool to monitor fast changes in surface conditions, such as vegetation phenology [41,42], river ice velocity [43], surface water areas [44,45], and streamflow presence [30] across different climatic zones. In arid regions, change detection of surface water is aided by sharp contrasts between wet and dry areas [30].…”
Section: Planetscope Imagerymentioning
confidence: 99%
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“…Given the stochastic nature of ephemeral stream run‐off, however, capturing floods in imagery—particularly, capturing cloud‐free imagery during or immediately following flooding—is difficult (e.g., Li et al, 2018; Rowberry et al, 2011). Despite these limitations, floodplain mapping from satellite‐based imagery, such as Landsat, has been possible in larger (>20 m width) ephemeral corridors, typically using reflectance in near infrared or short‐wave infrared bands to identify flooded pixels (Betancourt‐Suárez et al, 2021; Li et al, 2021; Wang & Vivoni, 2022). On smaller channels, drone‐based imagery has been used to delineate ephemeral stream corridors and floodplain extents (e.g., Andreadakis et al, 2020; Hamada et al, 2016), typically using topographic and vegetative indices during periods of low to no‐flow rather than the presence of water during flooding.…”
Section: Identifying and Classifying Ephemeral Stream Floodplainsmentioning
confidence: 99%