光谱学与光谱分析 |
|
|
|
|
|
Remote Sensing Monitoring and Pre-Alarming of Algal Blooms in Taihu Lake |
SONG Yu1,2, SONG Xiao-dong1, GUO Qing-hai1, TANG Li-na1* |
1. Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
Abstract The explosive growth of algae in inland water bodies is one of the major water environmental problems in China, and it’s very important to monitor the dynamic of algae in both temporal and spatial scales. In the present paper, a model, which was used to extract the algae information from the water body of Taihu Lake using MODIS data, was established based on the remote sensing index and image false color composite methods. Using this model, we studied the algae explosive growth formation process between March and May in 2007. Through the analysis of the temporal and spatial distribution features of the algae outbreak between the spring and summer seasons, an early warning method of algal blooms was proposed, that is, when the MODIS green index mainly concentrated in the range between 0.6 and 0.8, the water body of Taihu Lake can be considered to have been in the early alarming stage of algal blooms.
|
Received: 2010-05-02
Accepted: 2010-08-06
|
|
Corresponding Authors:
TANG Li-na
E-mail: lntang@iue.ac.cn
|
|
[1] Codd G A. Ecological Engineering, 2000, 16(1): 51. [2] Carpenter D J, Carpenter S M. Remote Sensing of Environment, 1983, 13(4): 345. [3] SONG Yu, SONG Xiao-dong, JIANG Hong(宋 瑜, 宋晓东, 江 洪). Remote Sensing Information(遥感信息), 2008, (4): 102. [4] Gordon H R, Brown O B, Jacobs M M. Applied Optics, 1975, 14(2): 417. [5] Han L, Rundqu D C. Remote Sensing of Environment, 1997, 62(3): 253. [6] SONG Yu, SONG Xiao-dong, JIANG Hong, et al(宋 瑜, 宋晓东, 江 洪, 等). Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2010, 30(4): 1075. [7] Baban S M J. International Journal of Remote Sensing, 1993, 14(7): 1247. [8] Vincent R K, Qin X, McKay R M L, et al. Remote Sensing of Environment, 2004, 89(3): 381. [9] Vos R J, Hakvoort J H M, Jordans R W J, et al. The Science of The Total Environment, 2003, 312(1-3): 221. [10] Barale V, Jaquet J M, Ndiaye M. Remote Sensing of Environment, 2008, 112(8): 3300. [11] Gower J, Hu C, Borstad G, et al. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(12): 3619. [12] SONG Yu, SONG Xiao-dong, GUO Zhao-bing, et al(宋 瑜, 宋晓东, 郭照冰, 等). Remote Sensing Information(遥感信息), 2009, (4): 19. [13] Hu C. Remote Sensing of Environment, 2009, 113(10): 2118. [14] MA Rong-hua, DAI Jin-fang(马荣华, 戴锦芳). Journal of Remote Sensing(遥感学报), 2005, 9(1): 78. [15] JIANG Geng-ming, LIU Rong-gao, NIU Zheng, et al(蒋耿明, 刘荣高, 牛 铮, 等). Journal of Remote Sensing(遥感学报), 2004, 8(2): 158. [16] HUANG Jia-zhu, ZHAO Rui(黄家柱, 赵 锐). Remote Sensing Information(遥感信息), 1999,(4): 43. |
[1] |
WANG Cai-ling1,ZHANG Jing1,WANG Hong-wei2*, SONG Xiao-nan1, JI Tong3. A Hyperspectral Image Classification Model Based on Band Clustering and Multi-Scale Structure Feature Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 258-265. |
[2] |
GAO Hong-sheng1, GUO Zhi-qiang1*, ZENG Yun-liu2, DING Gang2, WANG Xiao-yao2, LI Li3. Early Classification and Detection of Kiwifruit Soft Rot Based on
Hyperspectral Image Band Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 241-249. |
[3] |
WU Hu-lin1, DENG Xian-ming1*, ZHANG Tian-cai1, LI Zhong-sheng1, CEN Yi2, WANG Jia-hui1, XIONG Jie1, CHEN Zhi-hua1, LIN Mu-chun1. A Revised Target Detection Algorithm Based on Feature Separation Model of Target and Background for Hyperspectral Imagery[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 283-291. |
[4] |
CHU Bing-quan1, 2, LI Cheng-feng1, DING Li3, GUO Zheng-yan1, WANG Shi-yu1, SUN Wei-jie1, JIN Wei-yi1, HE Yong2*. Nondestructive and Rapid Determination of Carbohydrate and Protein in T. obliquus Based on Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3732-3741. |
[5] |
HUANG You-ju1, TIAN Yi-chao2, 3*, ZHANG Qiang2, TAO Jin2, ZHANG Ya-li2, YANG Yong-wei2, LIN Jun-liang2. Estimation of Aboveground Biomass of Mangroves in Maowei Sea of Beibu Gulf Based on ZY-1-02D Satellite Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3906-3915. |
[6] |
ZHOU Bei-bei1, LI Heng-kai1*, LONG Bei-ping2. Variation Analysis of Spectral Characteristics of Reclaimed Vegetation in an Ionic Rare Earth Mining Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3946-3954. |
[7] |
YUAN Wei-dong1, 2, JU Hao2, JIANG Hong-zhe1, 2, LI Xing-peng2, ZHOU Hong-ping1, 2*, SUN Meng-meng1, 2. Classification of Different Maturity Stages of Camellia Oleifera Fruit
Using Hyperspectral Imaging Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3419-3426. |
[8] |
FU Gen-shen1, LÜ Hai-yan1, YAN Li-peng1, HUANG Qing-feng1, CHENG Hai-feng2, WANG Xin-wen3, QIAN Wen-qi1, GAO Xiang4, TANG Xue-hai1*. A C/N Ratio Estimation Model of Camellia Oleifera Leaves Based on
Canopy Hyperspectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3404-3411. |
[9] |
SHEN Ying, WU Pan, HUANG Feng*, GUO Cui-xia. Identification of Species and Concentration Measurement of Microalgae Based on Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3629-3636. |
[10] |
XIE Peng, WANG Zheng-hai*, XIAO Bei, CAO Hai-ling, HUANG Yi, SU Wen-lin. Hyperspectral Quantitative Inversion of Soil Selenium Content Based on sCARS-PSO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3599-3606. |
[11] |
QIAN Rui1, XU Wei-heng2, 3 , 4*, HUANG Shao-dong2, WANG Lei-guang2, 3, 4, LU Ning2, OU Guang-long1. Tea Plantations Extraction Based on GF-5 Hyperspectral Remote Sensing
Imagery in the Mountainous Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3591-3598. |
[12] |
ZHU Zhi-cheng1, WU Yong-feng2*, MA Jun-cheng2, JI Lin2, LIU Bin-hui3*, JIN Hai-liang1*. Response of Winter Wheat Canopy Spectra to Chlorophyll Changes Under Water Stress Based on Unmanned Aerial Vehicle Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3524-3534. |
[13] |
YANG Lei1, 2, 3, ZHOU Jin-song1, 2, 3, JING Juan-juan1, 2, 3, NIE Bo-yang1, 3*. Non-Uniformity Correction Method for Splicing Hyperspectral Imager Based on Overlapping Field of View[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3582-3590. |
[14] |
SUN Lin1, BI Wei-hong1, LIU Tong1, WU Jia-qing1, ZHANG Bao-jun1, FU Guang-wei1, JIN Wa1, WANG Bing2, FU Xing-hu1*. Identification Algorithm of Green Algae Using Airborne Hyperspectral and Machine Learning Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3637-3643. |
[15] |
TAO Jing-zhe1, 3, SONG De-rui1, 3, SONG Chuan-ming2, WANG Xiang-hai1, 2*. Multi-Band Remote Sensing Image Sharpening: A Survey[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2999-3008. |
|
|
|
|