Evaluation of microwave remote sensing for monitoring live fuel moisture content in the Mediterranean region

被引:88
作者
Fan, Lei [1 ,2 ,5 ]
Wigneron, J. -P. [2 ]
Xiao, Qing [1 ]
Al-Yaari, A. [2 ]
Wen, Jianguang [1 ]
Martin-StPaul, Nicolas [3 ]
Dupuy, J. -L. [3 ]
Pimont, Francois [3 ]
Al Bitar, A. [4 ]
Fernandez-Moran, R. [2 ]
Kerr, Y. H. [4 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] INRA, ISPA, UMR 1391, F-33140 Villenave Dornon, France
[3] INRA, Ecol Forets Mediterraneennes URFM UR629, Avignon, France
[4] CNES CNRS IRD UPS, CESBIO, UMR 5126, Toulouse, France
[5] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
Microwave remote sensing; Optical remote sensing; Root zone soil moisture; Vegetation optical depth; Live fuel moisture content; Fire risk; LFMC; VOD; VARI; NDVI; SAVI; ZONE SOIL-MOISTURE; VEGETATION OPTICAL DEPTH; DIFFERENCE WATER INDEX; IN-SITU OBSERVATIONS; NEAR-SURFACE; AMSR-E; RADIOFREQUENCY INTERFERENCE; SPECTRAL REFLECTANCE; SEASONAL-CHANGES; SMOS;
D O I
10.1016/j.rse.2017.11.020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Live fuel moisture content (LFMC) is an important factor in fire risk management in the Mediterranean region. Drawing upon a large network of stations (the Reseau Hydrique) measuring LFMC for operational fire danger assessment in the south-eastern region of France, this study assesses the ability of several long-term passive microwave remote sensing indices to capture the LFMC temporal dynamic of various Mediterranean shrub species. Microwave remote sensing has a high potential for monitoring LFMC independently of several constraints (e.g., atmospheric and cloud contamination effects) associated with optical-infrared and thermal remote sensing observations. The following four microwave-derived indices are considered: (1) the Essential Climate Variable near-surface soil moisture (ECV_SM); (2) the root-zone soil moisture (ECV_RZSM) derived from ECV_SM; (3) the microwave polarization difference index (MPDI) computed from five microwave frequencies (C, X, Ku, K and Ka-band corresponding to 6.9, 10.7, 18.7, 23.8 and 36.5 GHz respectively); and (4) the vegetation optical depth (VOD) at C- and X-band (from the Advanced Microwave Scanning Radiometer for the Earth observing system, AMSR-E). Firstly, an evaluation of the root-zone soil moisture ECV_RZSM against a network of soil moisture measurements (SMOSMANIA in southern France) gave satisfactory results. For most of the Reseau Hydrique sites, the present study found good agreement between LFMC and individual microwave indices, including root-zone soil moisture, VOD at X-band, and MPDI at X and Ku-bands, all averaged over the 15 days preceding the in-situ LFMC measurements. VOD at X-band showed the best agreement with the in situ LFMC data (median of correlation coefficients over all in situ sites = 0.43). Further comparisons between LFMC data and several optical indices computed from the Moderate Resolution Imaging Spectrometer (MODIS) data including normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), visible atmospheric resistant index (VARI), normalized difference water index (NDWI), normalized difference infrared index 6 (NDII6), normalized difference infrared index 7 (NDII7) and global vegetation moisture index (GVMI) were made. The comparisons showed that VARI and SAVI, as optical greenness indices, outperform the microwave indices and other optical indices with median of correlation coefficients of 0.66 and 0.65, respectively. Overall, this study shows that passive microwave indices, particularly VOD, are efficient proxies for LFMC of Mediterranean shrub species and could be used along with optical indices to evaluate fire risks in the Mediterranean region.
引用
收藏
页码:210 / 223
页数:14
相关论文
共 104 条
  • [1] Testing regression equations to derive long-term global soil moisture datasets from passive microwave observations
    Al-Yaari, A.
    Wigneron, J. P.
    Kerr, Y.
    de Jeu, R.
    Rodriguez-Fernandez, N.
    van der Schalie, R.
    Al Bitar, A.
    Mialon, A.
    Richaume, P.
    Dolman, A.
    Ducharne, A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 180 : 453 - 464
  • [2] Global-scale comparison of passive (SMOS) and active (ASCAT) satellite based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land)
    Al-Yaari, A.
    Wigneron, J. -P.
    Ducharne, A.
    Kerr, Y. H.
    Wagner, W.
    De lannoy, G.
    Reichle, R.
    Al Bitar, A.
    Dorigo, W.
    Richaume, P.
    Mialon, A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2014, 152 : 614 - 626
  • [3] Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates
    Al-Yaari, A.
    Wigneron, J. -P.
    Ducharne, A.
    Kerr, Y.
    de Rosnay, P.
    de Jeu, R.
    Govind, A.
    Al Bitar, A.
    Albergel, C.
    Munoz-Sabater, J.
    Richaume, P.
    Mialon, A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2014, 149 : 181 - 195
  • [4] From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations
    Albergel, C.
    Ruediger, C.
    Pellarin, T.
    Calvet, J. -C.
    Fritz, N.
    Froissard, F.
    Suquia, D.
    Petitpa, A.
    Piguet, B.
    Martin, E.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2008, 12 (06) : 1323 - 1337
  • [5] An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France
    Albergel, C.
    Ruediger, C.
    Carrer, D.
    Calvet, J. -C.
    Fritz, N.
    Naeimi, V.
    Bartalis, Z.
    Hasenauer, S.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (02) : 115 - 124
  • [6] Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations
    Albergel, Clement
    de Rosnay, Patricia
    Gruhier, Claire
    Munoz-Sabater, Joaquin
    Hasenauer, Stefan
    Isaksen, Lars
    Kerr, Yann
    Wagner, Wolfgang
    [J]. REMOTE SENSING OF ENVIRONMENT, 2012, 118 : 215 - 226
  • [7] Spectral reflectance of dehydrating leaves: measurements and modelling
    Aldakheel, YY
    Danson, FM
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (17) : 3683 - 3690
  • [8] Validation of the ESA CCI soil moisture product in China
    An, Ru
    Zhang, Ling
    Wang, Zhe
    Quaye-Ballard, Jonathan Arthur
    You, Jiajun
    Shen, Xiaoji
    Gao, Wei
    Huang, Lijun
    Zhao, Yinghui
    Ke, Zunyou
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 48 : 28 - 36
  • [9] Assimilation of Soil Wetness Index and Leaf Area Index into the ISBA-A-gs land surface model: grassland case study
    Barbu, A. L.
    Calvet, J. -C.
    Mahfouf, J. -F.
    Albergel, C.
    Lafont, S.
    [J]. BIOGEOSCIENCES, 2011, 8 (07) : 1971 - 1986
  • [10] INHIBITION OF PHOTOSYNTHETIC REACTIONS UNDER WATER-STRESS - INTERACTION WITH LIGHT LEVEL
    BJORKMAN, O
    POWLES, SB
    [J]. PLANTA, 1984, 161 (06) : 490 - 504