Technology and Methodology |
|
|
|
|
|
Crop LAI inversion based on the passive microwave remote sensing technology |
MA Hongzhang1, LIU Sumei1, ZHU Xiaobo2, SUN Genyun3, SUN Lin4, LIU Qinhuo5 |
1. College of Science, China University of Petroleum, Qingdao 266580, China;
2. China Centre for Resource Satellite Data and Application, Beijing 100094, China;
3. College of Earth Science and Technology, China University of Petroleum, Qingdao 266580, China;
4. Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China;
5. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China |
|
|
Abstract The multichannel dual-polarized radiation characteristic database of corn vegetation canopy was constructed by using the corn structure parameters field measured data and the Matrix-Doubling model, and the relations between the emissivity and the transmissivity of the corn canopy were obtained using regression analysis based on the database. These relationships were applied to the microwave radiation propagation equation to compute the microwave radiation bright temperature of the surface covered with corn canopy. The results show that the correlation of the measured LAI value and the model inversion LAI is higher than 0.9, which suggests that the multichannel passive microwave data have considerable application potential in the aspect of corn LAI inversion.
|
Keywords
Bohai Bay
coastline
land use
remote sensing
spatial-temporal variation
|
|
Issue Date: 03 July 2013
|
|
|
[1] Kuusk A.Monitoring of vegetation parameters on large areas by the inversion of a canopy reflectance model[J].International Journal of Remote Sensing,1998,19(15):2893-2905.[2] Chen J M,Cihlar J.Retrieving leaf area index of boreal conifer forests using landsat TM images[J].Remote Sensing of Environment,1996,55(43):153-162.[3] Bonan G.Importance of leaf area index and forest type when estimating photosynthesis in boreal forests[J].Remote Sensing of Environment,1993,43(3):303-314.[4] Pierce L L,Running S W.Rapid estimation of coniferous forest leaf area index using a portable integrating radiometer[J].Ecology,1988,69(18):1762-1767.[5] Holben B N,Tucer C J.Spectral assessment of soybean leaf area and leaf biomass[J].Photogramnetric Engineering and Remote Sensing,1980,46(5):651-656.[6] Rasmussen M S.Operational yield forecast using AVHRR NDVI data:Reduction of environmental and inter-annual variability[J].International Journal of Remote Sensing,1997,18(5):1059-1077.[7] Myneni R B,Nemani R R,Running S W.Estimation of global leaf area index and absorbed PAR using radiative transfer models[J].IEEE Transactions on Geoscience and Remote Sensing,1997,35(66):1380-1393.[8] Verhoef W.Light scattering by leaf layers with application to canopy reflectance modeling,the SAIL model[J].Remote Sensing of Environment,1984,16(2):125-141.[9] Li X W,Strahler A H.Geometric-optical model of a conifer forest canopy[J].IEEE Transactions on Geoscience and Remote Sensing,1985,23(5):705-720.[10] Njoku J.Soil moisture retrieval from AMSR-E[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(2):215-229.[11] Ulaby F T,Moore R K,Fung A K.Microwave remote sensing:Active and passive[M].Dedham,MA:Artech House,1986.[12] Wigneron J P,Calvet J C,Kerr Y.Microwave emission of vegetation:A sensitivity to leaf characteristics[J].IEEE Trans Geosci Remote Sensing,1993,23(31):716-726.[13] Press W H,Teukolsky S A.Numerical recipes in C:The art of scientific computing[M]2nd edition.London:Cambridge University Press,1992.[14] Karam M A.A physical model for microwave radiometry of vegetation[J].IEEE Transactions on Geoscience and Remote Sensing,1997,35(4):1045-1058.[15] Chen K S,Jackson T J,Oneill P E.A parameterized surface reflectivity model and estimation of bare surface soil moisture with L-band radiometer[J].IEEE Trans Geosci Remote Sens,2002,40(12):2674-2686.[16] Chen K S,Wu T D,Tsang L.Emission of rough surfaces calculated by the integral equation method with a comparison to a three-dimensional moment method simulations[J].IEEE Trans Geosci Remote Sens,2003,41(1):90-101. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|