XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: EXTRACTING TEMPORAL AND SPATIAL DISTRIBUTIONS INFORMATION ABOUT ALGAL GLOOMS BASED ON MULTITEMPORAL MODIS Lü Chunguang, Tian Qingjiu

Document type:: Multivolume work

Structure type:: Chapter

72€ CD AN - ** UM ow International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia EXTRACTING TEMPORAL AND SPATIAL DISTRIBUTIONS INFORMATION ABOUT ALGAL GLOOMS BASED ON MULTITEMPORAL MODIS Lü Chunguang *' , Tian Qingjiu * * International Institute for Earth System Science, Nanjing University, Nanjing 210093, hohai_rsandgis@163.com Keywords: Taihu Lake; algal blooms; spatio-temporal distribution; Commission VII, WG VII/3 ABSTRACT: Based on MODIS remote sensing data, method and technology to extraction the time and space distribution information of algae bloom is studied and established. The dynamic feature of time and space in Taihu Lake from 2009 to 2011 can be obtained by extracted method. Variation of cyanobacterial bloom in the Taihu Lake is analyzed and discussed. The algae bloom frequency index (AFI) and algae bloom sustainability index (ASI) is important criterion which can show the interannual and inter-monthly variation in the whole area or the subregion of Taihu Lake. Utilizing the AFI and ASI from 2009 to 2011, it found some phenomena that: the booming frequency decreased from the north and west to the East and South of Taihu Lake. The annual month algae bloom variation of AFI reflect the booming existing twin peaks in the high shock level and lag trend in general. In the subregion statistics, the IBD and ASI in 2011 show the abnormal condition in the border between the Gongshan Bay and Central Lake. The date is obvious earlier than that on the same subregion in previous years and that on others subregion in the same year. 1. INTRODUCTION Lake is one of the most important fresh water resources on the planet. In recent years, eutrophication of many of lake in the world is serious, because of human social economic activities (Guo H, 2000; Liao M, Lin H, 2003). The significant signs are frequent outbreaks and large scale to flourish of algae bloom. Algae bloom refer to the phenomenon of accumulation of algae due to the biomass of phytoplankton significantly higher than average in water (Oliver R L et al, 2000). Under the action of the external forces (such as wind and flow, etc), algae bloom formed on the spectrum characteristics similar to terrestrial vegetation (Dekker A G, 2001). Remote sensing had timeliness, macroscopically and quality economy in environmental monitoring. Consequently, remote sensing technology is used with great advantage in monitoring the time and space distribution of algae bloom (Huang J et al, 1999). At present, there have been several researches on algae bloom distribution of time and space and changing regularity. The reproductive biology of Calanus Finmarchjcus was investigated at a permanent station in the Norwegian Sea during a time series between March and June 1997 (Head, R et al, 1999). It implies that the reproduction of C. Finmarchicus in the Norwegian Sea is to some extent decoupled from the phytoplankton bloom (Head R et al, 1999). On the basis of the spectral analysis, an applicable model was developed to extract the cyanobacteria bloom information from multi-source remote sensing images (Ma R et al, 2008). And then, the model was used to acquire cyanobacteria bloom-covered area and its spatial distribution (Ma R et al, 2008). Using available satellite images, Duan reconstructed the spatial and temporal patterns of " Lü Chunguang: PhD candidate in Nanjing University, China. The main research direction is water environment remote sensing. algal blooms in Lake Taihu through the past two decades (Duan, H et al 2009) Using MODIS satellite images and Chlorophyll-a concentration data and adopting cyannobacteria bloom evaluation method, Liu studied different type of cyanobacteria bloom from 2004 to 2008 in Taihu Lake, and explored the characteristics of cyanobacteria bloom and its spatial and temporal variation, which provided pre-prevention and early waning for cyanobacteria bloom (Liu J et al, 2011). Based on the emergency remote monitoring in 2008, the frequent region, changes in migration, and the relevancy to the water quality objectives such as temperature were discussed to support the emergency management of cyanobacteria bloom in Taihu Lake (Jin Y et al, 2009). Lake Taihu, the second freshwater largest lake in China is located in Jiangsu and Zhejiang provinces at the junction, also is in the south of the Yangtze River delta (Figure 1). The length of the lake (from north to south) is 68.5 km and the width (from east to west) is 56 km. The mean depth of the lake is 1.9 m, and the maximum depth is 2.6 m. It is a typical shallow lake water or depressions (Qin B Q et al, 2007).The rich water resources in Taihu Lake Basin is the foundation of the development of regional social economic conditions, but with population growth, urban expansion and the acceleration of industrial growth, the related problems of water environment of lakes are more and more serious (Guo L, 2007). The recent bloom in summer 2007 affected the Wuxi City nearby significantly, causing drinking water sources to be severely polluted and millions of people to be exposed to health hazards, which in turn imperilled the social stability of the region (Yang M et al, 2007) Our study was conducted to: 1) based on MODIS remote sensing data study and establishes method and technology to

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