A SEMI-EMPIRICAL MODEL TO ESTIMATE BIOPHYSICAL PARAMETERS IN SOUTHERN MEXICO

被引:0
作者
Enrique Constantino-Recillas, Daniel [1 ]
Monsivais-Huertero, Alejandro [1 ]
Carlos Jimenez-Escalona, Jose [1 ]
Zempoaltecatl-Ramirez, Enrique [1 ]
Magagi, Ramata [2 ]
Goita, Kalifa [2 ]
机构
[1] Inst Politecn Nacl, ESIME Ticoman, Mexico City, DF, Mexico
[2] Univ Sherbrooke, Dept Geomat Appl, Sherbrooke, PQ, Canada
来源
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词
Tropical ecosystems; Semi-empirical model; RADARSAT-2; surface parameters; VEGETATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The monitoring of tropical ecosystems is complex due to the type of terrain and adverse weather conditions present during most of the year. This paper proposes the development and implementation of a methodology based on RADARSAT-2 images and a semi-empirical model to obtain surface parameters in a tropical forest. The model takes into consideration the sensor configuration, and vegetation and soil parameters to represent the behavior of the wave in the scene. To retrieve the surface parameters, the model is implemented in an optimization framework using all polarizations (HH, HV, VH and VV). Finally, as outputs of the optimization process, we obtain the trunk diameter (Dt), the crow height (hc), and the optical penetration depth (tau). By using., the vegetation water content (VWC) is estimated. The accuracy of this methodology is about 83% when compared to ground data.
引用
收藏
页码:5344 / 5347
页数:4
相关论文
共 10 条
  • [1] Angular Backscatter Variation in L-Band ALOS ScanSAR Images of Tropical Forest Areas
    Ardila, Juan Pablo
    Tolpekin, Valentyn
    Bijker, Wietske
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2010, 7 (04) : 821 - 825
  • [2] Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands
    Chen, DY
    Huang, JF
    Jackson, TJ
    [J]. REMOTE SENSING OF ENVIRONMENT, 2005, 98 (2-3) : 225 - 236
  • [3] ESTIMATION OF FOREST BIOPHYSICAL CHARACTERISTICS IN NORTHERN MICHIGAN WITH SIR-C/X-SAR
    DOBSON, MC
    ULABY, FT
    PIERCE, LE
    SHARIK, TL
    BERGEN, KM
    KELLNDORFER, J
    KENDRA, JR
    LI, E
    LIN, YC
    NASHASHIBI, A
    SARABANDI, K
    SIQUEIRA, P
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (04): : 877 - 895
  • [4] Graham A.J., 2003, PROGR PHYS GEOGRAPGY, P217
  • [5] Jackson T., 2012, ALGORITHM THEORICAL
  • [6] Estimation of water cloud model vegetation parameters using a genetic algorithm
    Kumar, Kamal
    Prasad, K. S. Hari
    Arora, M. K.
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2012, 57 (04): : 776 - 789
  • [7] Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils
    Mironov, Valery L.
    Kosolapova, Lyudmila G.
    Fomin, Sergej V.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (07): : 2059 - 2070
  • [8] AN EMPIRICAL-MODEL AND AN INVERSION TECHNIQUE FOR RADAR SCATTERING FROM BARE SOIL SURFACES
    OH, Y
    SARABANDI, K
    ULABY, FT
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1992, 30 (02): : 370 - 381
  • [9] L-BAND RADAR BACKSCATTER MODELING OF FOREST STANDS
    RICHARDS, JA
    SUN, GQ
    SIMONETT, DS
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1987, 25 (04): : 487 - 498
  • [10] MICROWAVE DIELECTRIC SPECTRUM OF VEGETATION .2. DUAL-DISPERSION MODEL
    ULABY, FT
    ELRAYES, MA
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1987, 25 (05): : 550 - 557