Retrieval of biomass in Poyang Lake wetland from ENVISAT ASAR data

Gaojishu Tongxin/Chinese High Technology Letters

Volumn 19, Issue 6, 2009, Pages 644-649

  Shen, Guozhuang ^a   Liao, Jingjuan ^a   Guo, Huadong ^a   Dong, Lei ^b,c  

^a CENTER FOR EARTH OBSERVATION AND DIGITAL EARTH   (China)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Artificial neural network (ANN); Biomass inversion; ENVISAT ASAR; MIchigan MIcrowave Canopy Scattering (MIMICS); Poyang Lake wetland

Indexed keywords

ARTIFICIAL NEURAL NETWORK (ANN); ARTIFICIAL NEURAL NETWORK MODELS; BACKSCATTER COEFFICIENTS; BIOMASS DISTRIBUTION; ENVISAT ASAR; ENVISAT ASAR DATA; INVERSION ACCURACY; INVERSION PROCESS; INVERSION RESULTS; KEY INDICATOR; MICHIGAN MICROWAVE CANOPY SCATTERING (MIMICS); MICHIGAN MICROWAVE CANOPY SCATTERINGS; NON-LINEAR RELATIONSHIPS; POYANG LAKE; POYANG LAKE WETLAND; PRIMARY PRODUCTIVITY; SIMULATION ANALYSIS; TOTAL BIOMASS; WETLAND ECOSYSTEM; WETLAND VEGETATION;

BACKPROPAGATION; IMAGE REGISTRATION; LAKES; MICROWAVES; NEURAL NETWORKS; PHOTOSYNTHESIS; SCATTERING; VEGETATION; WETLANDS;

BIOMASS;

EID: 67650032676     PISSN: 10020470     EISSN: None     Source Type: Journal    
DOI: 10.3772/j.issn.1002-0470.2009.06.016     Document Type: Article

References (21)

1. Lu D S. The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing, 2006, 27(7): 1297-1328
2. Li R, Liu J. Wetland vegetation biomass estimation and mapping from Landsat ETM data: a case study of Poyang Lake. Journal of Geographical Sciences, 2002, 12(1): 35-41
3. Lu D. Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon. International Journal of Remote Sensing, 2005, 26(12): 2509-2525
4. Sophie M, Thuy L T. Biomass quantification of Andean wetland forages using ERS satellite SAR data for optimizing livestock management. Remote Sensing Of Environment, 2003, 84: 477-492
5. Harrell P A, Bourgeau-Chavez L L, Kasischke E S, et al. Sensitivity of ERS-1 and JERS-1 radar data to biomass and stand structure in Alaskan boreal forest. Remote Sensing Of Environment, 1995, 54(3): 247-260
6. Beaudoin A, Toan T L, Goze S, et al. Retrieval of forest biomass from SAR data. International Journal of Remote Sensing, 1994, 15(14): 2777-2796
7. Santoro M, Askne J, Dammert P B G, et al. Retrieval of biomass in boreal forest from multi-temporal ERS-1/2 interferometry. In: Proceedings of the Advancing ERS SAR Interferometry from Applications towards Operations, Fringe '99, Liege, Belgium, 1999
8. Kurvonen L, Pulliainen J, Hallikainen M. Retrieval of biomass in boreal forests from multitempotal ERS-1 and JERS-1 SAR images. IEEE Transactions On Geoscience And Remote Sensing, 1999, 37(1): 198-205
9. Kuplich T M, Curran P J, Atkinson P M. Relating SAR image texture to the biomass of regenerating tropical forests. International Journal of Remote Sensing, 2005, 26(21): 4829-4854
10. Frate F D, Wang L F. Sunflower biomass estimation using a scattering model and a neural network algorithm. International Journal of Remote Sensing, 2001, 22(7): 1235-1244
11. Kuplich T M, Salvatori V, Curran P J. JERS-1/SAR backscatter and its relationship with biomass of regenerating forests. International Journal of Remote Sensing, 2000, 21(12): 2513-2518
12. Ulaby F T, Sarabandi K, Mcdonald K, et al. Michigan microwave canopy scattering model. International Journal of Remote Sensing, 1990, 11(7): 1223-1253