Potential and limitations of satellite laser altimetry for monitoring water surface dynamics: ICESat for US lakes
Elevation measurements from the Ice, Cloud and Land Elevation Satellite (ICESat) have been applied to monitor dynamics of lakes and other surface water bodies. Despite such potential, the true utility of ICESat--more generally, satellite laser altimetry--for tracking surface water dynamics over time has not been adequately assessed, especially in the continental or global contexts. Here, we analyzed ICESat elevation data for the conterminous United States and examined the potential and limitations of satellite laser altimetry in measuring water-level dynamics. Owing to a lack of spatially-explicit ground-based water-level data, we first resorted to high-fidelity land elevation data acquired by airborne lidar to quantify ICESat’s ranging accuracy. We then performed trend and frequency analyses to evaluate how reliably ICESat could capture water-level dynamics over a range of temporal scales, as compared to in-situ gauge measurements. Our analyses showed that ICESat had a vertical ranging error of 0.16 m at the footprint level—a limit on the detectable range of water-level dynamics. The sparsity of data over time was identified as a major factor limiting the use of ICESat for water dynamics studies. Of all the US lakes, only 361 had quality ICESat measurements for more than two flight passes. Even for those lakes with sufficient temporal coverage, ICESat failed to capture the true interannual water-level dynamics in 68% of the cases. Our frequency analysis suggested that even with a repeat cycle of two months, ICESat could capture only 60% of the variations in water-level dynamics for at most 34 % of the US lakes. To capture 60% of the water-level variation for most of the US lakes, a weekly repeat cycle (e.g., less than 5 days) is needed – a requirement difficult to meet in current designs of spaceborne laser altimetry. Overall, our results highlight that current or near-future satellite laser missions, though with high ranging accuracies, are unlikely to fulfill the general needs in remotely monitoring water surface dynamics for lakes or reservoirs.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- Contributing Organization:
- 1. Department of Geo-exploration Science and Technology, Jilin University, Changchun 130021, China; 2. School of Environment and Natural Resources, The Ohio State University, Columbus, OH 43210, USA; 3. Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA; 4. Ohio Agricultural and Research Development Center, School of Environment and Natural Resources, The Ohio State University, Wooster, OH 44691, USA
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1406751
- Report Number(s):
- PNNL-SA-129158; KP1601050
- Journal Information:
- International Journal of Agricultural and Biological Engineering, Vol. 10, Issue 5; ISSN 1934-6344
- Country of Publication:
- United States
- Language:
- English
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