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
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;
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
DOI :
10.1109/IGARSS.2008.4778891