Visible to near-infrared, airborne hyperspectral data were successfully used to estimate water quality parameters such as chlorophyll a, turbidity and total phosphorus from the Great Miami River, Ohio. During the summer of 1999, spectral data were collected with a hand-held field spectroradiometer and airborne hyperspectral sensors. Approximately 80 km of the Great Miami River were acquired during a flyover with a Compact Airborne Spectrogrpahic Imager to cover the river and urban/industrial influences around the city of Dayton, Ohio. Instream measurements of water quality data such as turbidity levels, dissolved oxygen concentrations, and Secchi-disk depth were taken on the same day as the flyover. Similarly, water samples were collected for laboratory measurements of chlorophyll a and total phosphorus concentrations in the river. Correlations between water quality parameters and one or a combination of wavebands from the field spectrometry dataset were determined. Based on the selected wavebands, semi-empirical models have been developed for chlorophyll a, turbidity and total phosphorus. With the help of these models, maps of the spatial distribution of these water quality parameters were created from the hyperspectral images of the river. These maps could aid in the development and implementation of total maximum daily load regulations of certain water quality parameters, and identify possible causes of algal blooms in surface waters.

ログイン

初めての方

会員登録いただくと、以下のような会員様限定コンテンツを無料でご覧いただけます。

  • 録画版ウェブセミナー、プレゼン資料、動画
  • アプリケーションノート、技術資料、記事、ホワイトペーパー、ソフトウェアダウンロード

加えて、以下の情報が定期的に届くメールニュースにも任意でご登録いただけます。

  • 最新のマルバーン・パナリティカル製品情報、技術情報、分析について学べるセミナー・ウェブセミナー・イベント情報