Multitemporal Fluctuations in L-Band Backscatter From a Japanese Forest

被引:18
|
作者
Watanabe, Manabu [1 ]
Motohka, Takeshi [1 ]
Shiraishi, Tomohiro [1 ]
Thapa, Rajesh Bahadur [1 ]
Yonezawa, Chinatsu [2 ]
Nakamura, Kazuki [3 ]
Shimada, Masanobu [1 ]
机构
[1] Japan Aerosp Explorat Agcy, Earth Observat Res Ctr, Ibaraki 3058505, Japan
[2] Tohoku Univ, Grad Sch Agr Sci, Sendai, Miyagi 9818555, Japan
[3] Natl Inst Adv Ind Sci & Technol, Tsukuba 3058568, Japan
来源
基金
日本学术振兴会;
关键词
Biomass; dielectric constant; forest; Phased Array type L-band Synthetic Aperture Radar (PALSAR); temporal variation; VEGETATION; RADAR;
D O I
10.1109/TGRS.2015.2415832
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The temporal variations (diurnal and annual) in arboreal (epsilon(Tree)) and bare soil (epsilon(Soil)) dielectric constants and their correlation with precipitation were examined for several trees in Japan. A significant (1 sigma (standard deviation) and 2 sigma) epsilon(Tree) increase is observed after rainfall at 89.8% and 90.5% probability. However, rainfall does not always induce significant epsilon(Tree) increases. Rainfall of more than 5 mm/day can induce 1 sigma epsilon(Tree) Tree increase at a 59.6% probability. In order to examine whether the increase in epsilon(Tree) affects the L-band sigma(0) variation in a forest, the four-year temporal variation of the L-band backscattering coefficient (sigma(0)) was estimated from observations by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar. Observed maximum absolute deviations from the mean over the forest area were 1.0 and 1.2 dB for sigma(0)(HH) and sigma(0)(HV), respectively, and 4.0 and 3.0 dB over open land. sigma(0) and rainfall correlations show that epsilon(Tree) and sigma(0)(Forest) are proportional to precipitation integrated over seven or eight days; epsilon(Soil) and sigma(Open) (0)(land) are proportional to precipitation integrated over three days. This finding indicates that epsilon(Tree) variations influence sigma(Forest) (0)(areas). A stronger correlation between sigma(0)(HV) and precipitation is observed in several sites with low sigma(0)(HV), where less biomass is expected, and several sites with high sigma(0)(HV), where more biomass is expected. A weaker correlation between sigma(0)(HV) and precipitation is observed for several sites with high sigma(0)(HV). These differences may be explained by the different contributions of double bounce scattering and potential transpiration, which is a measure of the ability of the atmosphere to remove water from the surface through the processes of transpiration. The two other results were as follows: 1) The functional relation between aboveground biomass and sigma(0) showed dependence on precipitation data, this being an effect connected with seasonal changes of the epsilon(Tree). This experiment reinforces the fact that the dry season is preferable for retrieval of woody biomass from inversion of the functional dependence of SAR backscatter and for avoiding the influence of rainfall. 2) The complex dielectric constant for a tree trunk, which is measured between 0.2 and 6 GHz, indicates that free water is dominant in the measured tree.
引用
收藏
页码:5799 / 5813
页数:15
相关论文
共 50 条
  • [31] Forest monitoring by using L-band coherence
    Watanabe, Manabu
    Sato, Motoyuki
    Shimada, Masanobu
    Ouchi, Kazuo
    Wang, Haipeng
    2007 ASIA PACIFIC MICROWAVE CONFERENCE, VOLS 1-5, 2007, : 2528 - +
  • [32] Sensitivity of L-Band Radar Backscatter to Forest Biomass in Semiarid Environments: A Comparative Analysis of Parametric and Nonparametric Models
    Tanase, Mihai A.
    Panciera, Rocco
    Lowell, Kim
    Tian, Siyuan
    Garcia-Martin, Alberto
    Walker, Jeffrey P.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (08): : 4671 - 4685
  • [33] ESTIMATION OF FOREST BIOMASS FROM L-BAND POLARIMETRIC DECOMPOSITION COMPONENTS
    Tanase, Mihai A.
    Panciera, Rocco
    Lowell, Kim
    Hacker, Jorg
    Walker, Jeffrey P.
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 949 - 952
  • [34] THE EFFECT OF PRECIPITATION AND SOIL MOISTURE VARIATIONS ON (PARTIAL) POLARIMETRIC L-BAND SAR BACKSCATTER IN TROPICAL FOREST REGIONS
    Koyama, Christian N.
    Watanabe, Manabu
    Hayashi, Masato
    Shimada, Masanobu
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 2450 - 2453
  • [35] SIMULATED AND OBSERVED BACKSCATTER AT P-BAND, L-BAND, AND C-BAND FROM PONDEROSA PINE STANDS
    WANG, Y
    DAVIS, FW
    MELACK, JM
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1993, 31 (04): : 871 - 879
  • [36] Sensitivity of modeled C- and L-band radar backscatter to ground surface parameters in loblolly pine forest
    Wang, Y
    Day, JL
    Davis, FW
    REMOTE SENSING OF ENVIRONMENT, 1998, 66 (03) : 331 - 342
  • [37] Assessment of stand-wise stem volume retrieval in boreal forest from JERS-1 L-band SAR backscatter
    Santoro, M.
    Eriksson, L.
    Askne, J.
    Schmullius, C.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (16) : 3425 - 3454
  • [38] Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests
    Yu, Yifan
    Saatchi, Sassan
    REMOTE SENSING, 2016, 8 (06)
  • [39] Characteristics of L-Band Backscatter Coefficients of Rubber Plantation and Their Seasonal Dynamics
    Trisasongko, Bambang H.
    Panuju, Dyah R.
    5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES (ICMNS 2014), 2015, 1677
  • [40] L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark
    Joshi, Neha P.
    Mitchard, Edward T. A.
    Schumacher, Johannes
    Johannsen, Vivian K.
    Saatchi, Sassan
    Fensholt, Rasmus
    REMOTE SENSING, 2015, 7 (04) : 4442 - 4472