Estimation of Surface Chlorophyll-a Concentration in Lake Shinji Using SPOT/HRV Data under Water-bloom "Aoko" Condition.
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- SAKUNO Yuji
- Graduate School of Engineering, The University of Tokyo
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- MATSUNAGA Tsuneo
- Department of Environmental Science and Technology, Tokyo Institute of Technology
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- NAKAYAMA Daisuke
- Department of Geology, Shimane University
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- ROKUGAWA Shuichi
- Graduate School of Engineering, The University of Tokyo
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- TAKAYASU Katsumi
- Research Center for Coastal Lagoon Environments, Shimane University
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- KUNII Hidenobu
- Research Center for Coastal Lagoon Environments, Shimane University
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- NAKAMURA Mikio
- Shimane Prefectural Fisheries Experimental Station
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- YAMAMURO Masumi
- Geological Survey of Japan
Bibliographic Information
- Other Title
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- SPOT/HRVデータによるアオコ発生時の宍道湖表層クロロフィルa濃度分布の推定
- SPOT HRV データ ニ ヨル アオコ ハッセイジ ノ シンジコ ヒョウソウ クロロフィル a ノウド ブンプ ノ スイテイ
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Abstract
The objective of this study was to map the horizontal distribution of water-bloom, or "Aoko", in Lake Shinji, Shimane Prefecture, using SPOT HRV and concurrent field survey data. Surface chlorophyll-a concentration (C) was adopted as a measure of Aoko amount in lake surface water. Two kinds of empirical algorithms, single band regression and band ratio regression algorithms, were used to estimate C from SPOT HRV and in-situ C data acquired in the morning of October 9, 1997. The C distribution patterns derived from satellite data were compared with aerial photographs taken 1.5 hour prior to satellite overpass. Also, various options to determine path radiance values using "Dark pixel" method were examined. The following results were obtained : 1) Surface suspended solid concentration (SSC) affected the accuracy of the estimated C when single band algorithms were applied, 2) The ratio algorithm using HRV band 1 and 2, after path radiance removal, could reduce the influence of SSC and improved the accuracy of C estimation considerably, and 3) Aoko was found along the north shore of the lake with 4-8 km length, and it covered about 7% of the lake surface.
Journal
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- Journal of The Remote Sensing Society of Japan
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Journal of The Remote Sensing Society of Japan 19 (2), 132-148, 1999
The Remote Sensing Society of Japan
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Details 詳細情報について
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- CRID
- 1390282679641703296
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- NII Article ID
- 10003791177
- 10004835524
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- NII Book ID
- AN10035665
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- ISSN
- 18831184
- 02897911
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- NDL BIB ID
- 4807075
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed