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Original Articles

Retrieval of leaf fuel moisture contents from hyperspectral indices developed from dehydration experiments

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Pages 18-28 | Received 10 May 2016, Accepted 09 Dec 2016, Published online: 20 Jan 2017

References

  • Aguado, I., Chuvieco, E., Borén, R., Nieto, H. (2007) -  Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment. International Journal of Wildland Fire, 16(4): 390–397. doi: 10.1071/WF06136.
  • Bowyer, P., Danson, F. (2004) - Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level. Remote Sensing of Environment, 92(3): 297–308. doi: 10.1016/j.rse.2004.05.020.
  • Camia, A., Leblon, B., Cruz, M., Carlson, J., Aguado, I. (2003) - Methods used to estimate moisture content of dead wildland fuels, In E. Chuvieco ( Ed.), Wildland fire danger estimation and mapping: The role of remote sensing data. World Scientific Publishing, Singapore, 4: 91–113.
  • Carlson, J., Burgan, R. (2003) - Review of users' needs in operational fire danger estimation: the Oklahoma example. International Journal of Remote Sensing, 24(8): 1601–1620. doi: 10.1080/01431160210144651.
  • Carlson, T.N., Ripley, D.A. (1997) - Onthe relation between NDVI, fractional vegetation cover, and leaf area index. Remote sensing of Environment, 62(3): 241–252. doi: 10.1016/S0034-4257(97)00104-1.
  • Carter, G.A. (1991) - Primary and secondary effects of water content on the spectral reflectance of leaves. American Journal of Botany, 78(7): 916–924.
  • Ceccato, P., Flasse, S., Gregoire, J.M. (2002a) - Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications. Remote Sensing of Environment, 82(2): 198–207. doi: 10.1016/S0034-4257(02)00036-6.
  • Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S., Grégoire, J.M. (2001) - Detecting vegetation leaf water content using reflectance in the optical domain. Remote sensing of environment, 77(1): 22–33. doi: 10.1016/S0034-4257(01)00191-2.
  • Ceccato, P., Gobron, N., Flasse, S., Pinty, B., Tarantola, S. (2002b) - Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1: Theoretical approach. Remote Sensing of Environment, 82(2): 188–197. doi: 10.1016/S0034-4257(02)00037-8.
  • Cheng, T., Rivard, B., Sánchez-Azofeifa, A.G., Féret, J.B., Jacquemoud, S., Ustin, S.L. (2012) - Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis. Journal of plant physiology, 169(12): 1134–1142. doi: 10.1016/j.jplph.2012.04.006.
  • Cheng, T., Rivard, B., Sanchez-Azofeifa, A. (2011) - Spectroscopic determination of leaf water content using continuous wavelet analysis. Remote Sensing of Environment, 115(2): 659–670. doi: 10.1016/j.rse.2010.11.001.
  • Chuvieco, E., Aguado, I., Dimitrakopoulos, A.P. (2004a) - Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment. Canadian Journal of Forest Research, 34(11): 2284–2293. doi: 10.1139/x04-101.
  • Chuvieco, E., Cocero, D., Aguado, I., Palacios, A., Prado, E. (2004b) –Improving burning efficiency estimates through satellite assessment of fuel moisture content. Journal of Geophysical Research: Atmospheres (1984–2012), 109 (D14): 1-8. doi: 10.1029/2003JD003467.
  • Chuvieco, E., Cocero, D., Riano, D., Martin, P., Martınez-Vega, J., de la Riva, J., Pérez, F. (2004c) - Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating. Remote Sensing of Environment, 92(3): 322–331. doi: 10.1016/j.rse.2004.01.019.
  • Danson, F., Bowyer, P. (2004) - Estimatinglive fuel moisture content from remotely sensed reflectance. Remote Sensing of Environment, 92(3): 309–321. doi: 10.1016/j.rse.2004.03.017.
  • Daughtry, C., Hunt, E., Doraiswamy, P., McMurtrey, J. (2005) - Remote sensing the spatial distribution of crop residues. Agronomy Journal, 97(3): 864–871. doi: 10.2134/agronj2003.0291.
  • Dennison, P., Roberts, D., Peterson, S., Rechel, J. (2005) - Use of normalized difference water index for monitoring live fuel moisture. International Journal of Remote Sensing, 26(5): 1035–1042. doi: 10.1080/0143116042000273998.
  • Dimitrakopoulos, A., Bemmerzouk, A. (2003) - Predicting live herbaceous moisture content from a seasonal drought index. International Journal of Biometeorology, 47(2): 73–79. doi: 10.1007/s00484-002-0151-1.
  • Filella, I., Penuelas, J. (1994) - Thered edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. International Journal of Remote Sensing, 15(7): 1459–1470. doi: 10.1080/01431169408954177.
  • Foley, S., Rivard, B., Sanchez-Azofeifa, G.A., Calvo, J. (2006) - Foliar spectral properties following leaf clipping and implications for handling techniques. Remote Sensing of Environment, 103(3): 265–275. doi: 10.1016/j.rse.2005.06.014.
  • Gao, B.C. (1996) - NDWI—anormalized difference water index for remote sensing of vegetation liquid water from space. Remote sensing of environment, 58(3): 257–266. doi: 10.1016/S0034-4257(96)00067-3.
  • García, M., Chuvieco, E., Nieto, H., Aguado, I. (2008) - Combining AVHRR and meteorological data for estimating live fuel moisture content. Remote Sensing of Environment, 112(9): 3618–3627. doi: 10.1016/j.rse.2008.05.002.
  • Hardisky M., Klemas V., Smart M. (1983) - The influence of soil salinity, growth form, and leaf moisture on the spectral radiance of Spartina alterniflora canopies. Photogrammetric Engineering and Remote Sensing 48, 77–84.
  • Horler, D., DOCKRAY, M., Barber, J. (1983) - The red edge of plant leaf reflectance. International Journal of Remote Sensing, 4(2): 273–288. doi: 10.1080/01431168308948546.
  • Hunt Jr, R., Rock, B.N., Nobel, P.S. (1987) - Measurement of leaf relative water content by infrared reflectance. Remote sensing of environment, 22(3): 429–435. doi: 10.1016/0034-4257(87)90094-0.
  • le Maire, G., François, C., Soudani, K., Berveiller, D., Pontailler, J.Y., Bréda, N., Genet, H., Davi, H., Dufrêne, E. (2008) - Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass. Remote Sensing of Environment, 112(10): 3846–3864. doi: 10.1016/j.rse.2008.06.005.
  • Li, P., Wang, Q. (2011) - Retrieval of leaf biochemical parameters using PROSPECT inversion: A new approach for alleviating ill-posed problems. Geoscience and Remote Sensing, IEEE Transactions on, 49(7): 2499–2506. doi: 10.1109/TGRS.2011.2109390.
  • Jacquemoud, S., Baret, F. (1990) -  PROSPECT: A model of leaf optical properties spectra. Remote sensing of environment, 34(2): 75–91. doi: 10.1016/0034-4257(90)90100-Z.
  • Jacquemoud, S., Ustin, S., Verdebout, J., Schmuck, G., Andreoli, G., Hosgood, B. (1996) - Estimating leaf biochemistry using the PROSPECT leaf optical properties model. Remote sensing of environment, 56(3): 194–202. doi: 10.1016/0034-4257(95)00238-3.
  • Jacquemoud, S., Verhoef, W., Baret, F., Bacour, C., Zarco-Tejada, P.J., Asner, G.P., François, C., Ustin, S.L. (2009) - PROSPECT+SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment, 113: S56–S66. doi: 10.1016/j.rse.2008.01.026.
  • Nagler, P., Daughtry, C., Goward, S. (2000) - Plant litter and soil reflectance. Remote Sensing of Environment, 71(2): 207–215. doi: 10.1016/S0034-4257(99)00082-6.
  • Nieto, H., Aguado, I., Chuvieco, E., Sandholt, I. (2010) - Dead fuel moisture estimation with MSG–SEVIRI data. Retrieval of meteorological data for the calculation of the equilibrium moisture content. Agricultural and Forest Meteorology, 150(7): 861–870. doi: 10.1016/j.agrformet.2010.02.007.
  • Peñuelas, J., Filella, I., Biel, C., Serrano, L., Save, R. (1993) - The reflectance at the 950–970 nm region as an indicator of plant water status. International journal of remote sensing, 14(10): 1887–1905. doi: 10.1080/01431169308954010.
  • Riaño, D., Vaughan, P., Chuvieco, E., Zarco-Tejada, P.J., Ustin, S.L. (2005) - Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: analysis at leaf and canopy level. Geoscience and Remote Sensing, IEEE Transactions on, 43(4): 819–826. doi: 10.1109/TGRS.2005.843316.
  • Richardson, A.D., Berlyn, G.P. (2002) - Changes in foliar spectral reflectance and chlorophyll fluorescence of four temperate species following branch cutting. Tree Physiology, 22(7): 499–506. doi: 10.1093/treephys/22.7.499.
  • Roberts, D., Dennison, P., Peterson, S., Sweeney, S., Rechel, J. (2006) - Evaluation of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Moderate Resolution Imaging Spectrometer (MODIS) measures of live fuel moisture and fuel condition in a shrubland ecosystem in southern California. Journal of Geophysical Research: Biogeosciences (2005–2012), 111(G4). doi: 10.1029/2005JG000113.
  • Romero, A., Aguado, I., Yebra, M. (2012) - Estimation of dry matter content in leaves using normalized indexes and PROSPECT model inversion. International Journal of Remote Sensing, 33(2): 396–414. doi: 10.1080/01431161.2010.532819.
  • Rothermel, R.C. (1972) - A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Forest and Range Experiment Station Research Paper, INT-115, Ogden, UT, 1–40.
  • Seelig, H.D., Hoehn, A., Stodieck, L., Klaus, D., Adams I. ii, Emery, W. (2008) - The assessment of leaf water content using leaf reflectance ratios in the visible, near-, and short-wave-infrared. International Journal of Remote Sensing, 29(13): 3701–3713. doi: 10.1080/01431160701772500.
  • Tucker, C.J. (1980) - Remote sensing of leaf water content in the near infrared. Remote sensing of Environment, 10(1): 23–32. doi: 10.1016/0034-4257(80)90096-6.
  • van der Werf, G.R., Randerson, J.T., Collatz, G.J., Giglio, L., Kasibhatla, P.S., Arellano, A.F., Olsen, S.C., Kasischke, E.S. (2004) - Continental-scale partitioning of fire emissions during the 1997 to 2001 El Nino/La Nina period. Science, 303(5654): 73–76. doi: 10.1126/science.1090753.
  • Viegas, D., Piñol, J., Viegas, M., Ogaya, R. (2001) - Estimating live fine fuels moisture content using meteorologically-based indices. International Journal of Wildland Fire, 10(2): 223–240. doi: 10.1071/WF01022.
  • Viegas, D., Viegas, M., Ferreira, A. (1992) - Moisture content of fine forest fuels and fire occurrence in central Portugal. International Journal of Wildland Fire, 2(2): 69–86. doi: 10.1071/WF9920069.
  • Viney, N.R. (1991) - A review of fine fuel moisture modelling. International Journal of Wildland Fire, 1(4): 215–234. doi: 10.1071/WF9910215.
  • Wang, L., Hunt Jr, E.R., Qu, J.J., Hao, X., Daughtry, C.S. (2011a) - Towards estimation of canopy foliar biomass with spectral reflectance measurements. Remote Sensing of Environment, 115(3): 836–840. doi: 10.1016/j.rse.2010.11.011.
  • Wang, L., Hunt Jr, E.R., Qu, J.J., Hao, X., Daughtry, C.S. (2013) - Remote sensing of fuel moisture content from ratios of narrow-band vegetation water and dry-matter indices. Remote Sensing of Environment, 129: 103-110. doi: 10.1016/j.rse.2012.10.027.
  • Wang, L., Qu, J.J., Hao, X., Hunt Jr, E.R. (2011b) - Estimating dry matter content from spectral reflectance for green leaves of different species. International Journal of Remote Sensing, 32(22): 7097–7109. doi: 10.1080/01431161.2010.494641.
  • Wang, Q., Li, P. (2012) - Identification of robust hyperspectral indices on forest leaf water content using PROSPECT simulated dataset and field reflectance measurements. Hydrological Processes, 26(8): 1230–1241. doi: 10.1002/hyp.8221.
  • Yebra, M., Chuvieco, E. (2009) - Linking ecological information and radiative transfer models to estimate fuel moisture content in the Mediterranean region of Spain: Solving the ill-posed inverse problem. Remote Sensing of Environment, 113(11): 2403–2411. doi: 10.1016/j.rse.2009.07.001.
  • Yebra, M., Chuvieco, E., Riaño, D. (2008) - Estimation of live fuel moisture content from MODIS images for fire risk assessment. Agricultural and Forest Meteorology, 148(4): 523–536. doi: 10.1016/j.agrformet.2007.12.005.
  • Yebra, M., Dennison, P.E., Chuvieco, E., Riano, D., Zylstra, P., Hunt Jr, E.R., Danson, F.M., Qi, Y., Jurdao, S. (2013) - A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products. Remote Sensing of Environment, 136: 455–468. doi: 10.1016/j.rse.2013.05.029.
  • Zarco-Tejada, P.J., Rueda, C., Ustin, S. (2003) - Water content estimation in vegetation with MODIS reflectance data and model inversion methods. Remote Sensing of Environment, 85(1): 109–124. doi: 10.1016/S0034-4257(02)00197-9.