Evaluation of Hyperspectral Indices for Chlorophyll-a Concentration Estimation in Tangxun Lake (Wuhan, China)
Bibliographic Data
| ID | 15468636 |
|---|---|
| Authors | Yaohuan Huang (0000-0002-6564-8161, Chinese Academy of Sciences), Dong Jiang (0000-0002-4154-5969, Chinese Academy of Sciences, corresponding author), Yunfeng Hu (0000-0002-6219-6251, Chinese Academy of Sciences), Jingying Fu (0000-0003-2748-1361, Chinese Academy of Sciences) |
| Year | 2010 |
| Volume | 7 |
| Issue | 6 |
| Pages | 2437-2451 |
| Publication date | 2010-05-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph7062437 |
| PMID | 20644681 |
| PMCID | PMC2905558 |
| OpenAlex | W2115992157 |
| Language | EN |
| Citations received | 2 |
Chlorophyll-a (Chl-a) concentration is a major indicator of water quality which is harmful to human health. A growing number of studies have focused on the derivation of Chl-a concentration information from hyperspectral sensor data and the identification of best indices for Chl-a monitoring. The objective of this study is to assess the potential of hyperspectral indices to detect Chl-a concentrations in Tangxun Lake, which is the second largest lake in Wuhan, Central China. Hyperspectral reflectance and Chl-a concentration were measured at ten sample sites in Tangxun Lake. Three types of hyperspectral methods, including single-band reflectance, first derivative of reflectance, and reflectance ratio, were extracted from the spectral profiles of all bands of the hyperspectral sensor. The most appropriate bands for algorithms mentioned above were selected based on the correlation analysis. Evaluation results indicated that two methods, the first derivative of reflectance and reflectance ratio, were highly correlated (R(2) > 0.8) with the measured Chl-a concentrations. Thus, the spatial and temporal variations of Chl-a concentration could be conveniently monitored with these hyperspectral methods
Chlorophyll · Chlorophyll a · Geography · Hyperspectral imaging · Optics · Physics · Reflectivity · Remote sensing · Chemistry · Environmental Science · Marine and coastal ecosystems · Water Quality and Pollution Assessment · Water Quality Monitoring and Analysis
| Citations per year | 0.14 |
|---|---|
| Citation span | 2012 - 2013 (2) |
| Highly cited | No |