DocumentCode
483938
Title
Poyang Lake Wetland Plants Microwave Scattering Characteristics Research and Biomass Inversion
Author
Shen, A. Guozhuang ; Dong, B. Lei ; Wang, C. Yongqian ; Liao, C. Jingjuan ; Guo, D. Huadong
Author_Institution
Inst. of Remote Sensing Applic., Grad. Univ. of Chinese, Beijing
Volume
1
fYear
2008
fDate
7-11 July 2008
Abstract
Poyang Lake, which has a high level of biomass, is the largest freshwater lake in China with an area of about 3,000km2. Its wetland ecosystem has a significant impact on China´s environment change. In order to investigate the biomass information of Poyang Lake wetland plants, the characteristics of wetland plants must be researched firstly. The MIMICS (Michigan Microwave Canopy Scattering) forest backscattering model was modified to accommodate the two scattering components of wetland plants. Using GoogleEarth as one of the references, a reasonable field sampling route was planned and carried out during from 2007-3-29 to 2007-4-3. Thus we can calculate the backscattering coefficient in MIMICS model using surveyed data. By analyzing of the output, it is found that height, gravimetric moisture content and leaf number density are the main three factors dominating the backscattering coefficients, in other words, the major scattering is from crown directly. At last, ANN (Artificial Neural Networks) method was used to retrieve the biomass information of Poyang Lake wetland. The biomass is 1.06 times 109kg in April, 2007.
Keywords
atmospheric boundary layer; electromagnetic wave scattering; lakes; neural nets; vegetation; AD 2007 03 29 to 2007 04 03; China; GoogleEarth; MIMICS model; Michigan Microwave Canopy Scattering model; Poyang Lake; artificial neural networks; biomass inversion; ecosystem; wetland plants microwave scattering; Artificial neural networks; Backscatter; Biomass; Data analysis; Ecosystems; Information retrieval; Lakes; Moisture; Sampling methods; Scattering; MIMICS; SAR; backscatter coefficient; biomass; wetland plants;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4778891
Filename
4778891
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