|
Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Environmental Science / Faculty of Environmental Earth Science >
Peer-reviewed Journal Articles, etc >
One- and Two-Band Sensors and Algorithms to Derive a(CDOM)(440) from Global Above- and In-Water Optical Observations
| Title: | One- and Two-Band Sensors and Algorithms to Derive a(CDOM)(440) from Global Above- and In-Water Optical Observations |
| Authors: | Hooker, Stanford B. Browse this author | | Houskeeper, Henry F. Browse this author | | Lind, Randall N. Browse this author | | Suzuki, Koji Browse this author →KAKEN DB |
| Keywords: | ocean color | | global (oceanic, coastal, and inland) waters | | end members | | radiometers | | PAR | | hybridnamic | | autonomous (AUV, USV, UAV, and float) platforms | | remote sensing |
| Issue Date: | Aug-2021 |
| Publisher: | MDPI |
| Journal Title: | Sensors |
| Volume: | 21 |
| Issue: | 16 |
| Start Page: | 5384 |
| Publisher DOI: | 10.3390/s21165384 |
| Abstract: | The colored (or chromophoric, depending on the literature) dissolved organic matter (CDOM) spectral absorption coefficient, aCDOM(lambda), is a variable of global interest that has broad application in the study of biogeochemical processes. Within the funding for scientific research, there is an overarching trend towards increasing the scale of observations both temporally and spatially, while simultaneously reducing the cost per sample, driving a systemic shift towards autonomous sensors and observations. Legacy aCDOM(lambda) measurement techniques can be cost-prohibitive and do not lend themselves toward autonomous systems. Spectrally rich datasets carefully collected with advanced optical systems in diverse locations that span a global range of water bodies, in conjunction with appropriate quality assurance and processing, allow for the analysis of methods and algorithms to estimate aCDOM(440) from spectrally constrained one- and two-band subsets of the data. The resulting algorithms were evaluated with respect to established fit-for-purpose criteria as well as quality assured archival data. Existing and proposed optical sensors capable of exploiting the algorithms and intended for autonomous platforms are identified and discussed. One-band in-water algorithms and two-band above-water algorithms showed the most promise for practical use (accuracy of 3.0% and 6.5%, respectively), with the latter demonstrated for an airborne dataset. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/82916 |
| Appears in Collections: | 環境科学院・地球環境科学研究院 (Graduate School of Environmental Science / Faculty of Environmental Earth Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
|
