The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
476
Chen, J.M., Rich, P.M., Gower, S.T., Norman, J.M., Plummer,
5., 1997. Leaf area index of boreal forests: theory, techniques,
and measurements. Journal of Geophysical Research 102 (D24),
29429-29443.
Cho, M.A., Skidmore, A.K., 2006. A new technique for
extracting the red edge position from hyperspectral data: The
linear extrapolation method. Remote Sensing of Environment
101 (2), 181-193.
Cho, M.A., Skidmore, A., Corsi, F., van Wieren, S.E., Sobhan,
1., 2007. Estimation of green grass/herb biomass from airborne
hyperspectral imagery using spectral indices and partial least
squares regression. International Journal of Applied Earth
Observation and Geoinformation 9 (2007-4), 375-391.
Cohen, W.B., Goward, S.N., 2004. Landsat’s role in ecological
application of remote sensing. BioScience 54 (6), 535-545.
Curran, P.J., Dungan, J.L., Peterson, D.L., 2001. Estimating the
foliar biochemical concentration of leaves with reflectance
spectrometry: testing the Kokaly and Clark methodologies.
Remote Sensing of Environment 76 (3), 349-359.
Danson, F.M., Plummer, S.E., 1995. Red edge response to
forest leaf area index. International Journal of Remote Sensing
16 (1), 183-188.
Daszykowski, M., Semeels, S., Kaczmarek, K., Van Espen, P.,
Croux, C., Walczak, B., 2007. TOMCAT: a MATLAB toolbox
for multivariate calibration techniques. Chemometrics and
Intelligent Laboratory Systems 85 (2), 269-277.
Fang, H., Liang, S., Kuusk, A., 2003. Retrieving leaf area index
using a genetic algorithm with a canopy radiative transfer
model. Remote Sensing of Environment 85 (3), 257-270.
Fisher, P., 1997. The pixel: a snare and a delusion.
International Journal of Remote Sensing 18 (3), 679-685.
Geladi, P., Kowalski, B.R., 1986. Partial least-squares
regression: a tutorial. Analytica Chimica Acta 185, 1-17.
Guyot, G., Baret, F., 1988. Utilisation de la haute resolution
spectrale pour suivre l’état des couverts végétaux. In: Guyenne,
T.D., Hunt, J.J. (Eds.), Proc. 4th international colloquium on
spectral signatures of objects in remote sensing. ESA SP-287,
Aussois, France, 18-22 January 1988, pp. 279-286.
Haboudane, D., Miller, J.R., Pattey, E., Zarco-Tejada, P.J.,
Strachan, I.B., 2004. Hyperspectral vegetation indices and
novel algorithms for predicting green LAI of crop canopies:
modeling and validation in the context of precision agriculture.
Remote Sensing of Environment 90 (3), 337-352.
Hansen, P.M., Schjoerring, J.K., 2003. Reflectance
measurement of canopy biomass and nitrogen status in wheat
crops using normalized difference vegetation indices and partial
least squares regression. Remote Sensing of Environment 86 (4),
542-553.
Jacquemoud, S., Bacour, C., Poilve, H., Frangí, J.P., 2000.
Comparison of four radiative transfer models to simulate plant
canopies reflectance: direct and inverse mode. Remote Sensing
of Environment 14 (3), 471 -481.
Kalacska, M., Sanchez-Azofeifa, G.A., Rivard, B., Calvo-
Alvarado, J.C., Joumet, A.R.P., Arroyo-Mora, J.P., Ortiz-Ortiz,
D., 2004. Leaf area index measurements in a tropical moist
forest: a case study from Costa Rica. Remote Sensing of
Environment 91 (2), 134-152.
Kooistra, L., Salas, E.A.L., devers, J.G.P.W., Wehrens, R.,
Leuven, R.S.E.W., Nienhuis, P.H., Buydens, L.M.C., 2004.
Exploring field vegetation reflectance as an indicator of soil
contamination in river floodplains. Environmental Pollution
127 (2), 281-290.
Lee, K.S., Cohen, W.B., Kennedy, R.E., Maiersperger, T.K.,
Gower, S.T., 2004. Hyperspectral versus multispectral data for
estimating leaf area index in four different biomes. Remote
Sensing of Environment 91 (3-4), 508-520.
LI-COR, 1992. LAI-2000 Plant Canopy Analyzer Instruction
Manual. LICOR Inc., Lincoln, NE, USA.
Major, D.J., Baret, F., Guyot, G., 1990. A ratio vegetation index
adjusted for soil brightness. International Journal of Remote
Sensing 11 (5), 727-740.
Markwell, J., Osterman, J.C., Mitchell, J.L., 1995. Calibration
of Minolta SPAD-502 leaf chlorophyll meter. Photosynthetic
Research 46 (3), 467-472.
Mathworks, 2007. Matlab, The Language of Technical
Computing. Mathworks Inc., USA.
Minolta, 2003. Chlorophyll Meter SPAD-502: Instruction
Manual. Minolta Camera BeNeLux BV, Maarssen, The
Netherlands.
Nemani, R.R., Pierce, L.L., Running, S.W., Band, L.E., 1993.
Forest ecosystem processes at the watershed scale: sensitivity to
remotely sensed leaf area index estimates. International Journal
of Remote Sensing 14 (13), 2519-2534.
Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W., Harlan,
J.C., 1974. Monitoring the Vernal Advancement of
Rétrogradation of Natural Vegetation. NASA/GSFC, Type III,
Final Report, Greenbelt, MD.
Running, S.W., Peterson, D.L., Spanner, M.A., Teuber, K.B.,
1986. Remote sensing of coniferous forest leaf area. Ecology 67
(1), 273-276.
Schlerf, M., Atzberger, C., 2006. Inversion of a forest
reflectance model to estimate structural canopy variables from
hyperspectral remote sensing data. Remote Sensing of
Environment 100 (3), 281-294.
Schlerf, M., Atzberger, C., Hill, J., 2005. Remote sensing of
forest biophysical variables using HyMap imaging spectrometer
data. Remote Sensing of Environment 95 (2), 177-194.
Waiter-Shea, E.A., Privette, J., Cornell, D., Mesarch, M.A.,
Hays, C.J., 1997. Relations between directional spectral
vegetation indices and leaf area and absorbed radiation in
Alfalfa. Remote Sensing of Environment 61 (1), 162-177.
Weiss, M., Baret, F., 1999. Evaluation of canopy biophysical
variable retrieval performances from the accumulation of large
swath satellite data. Remote Sensing of Environment 70 (3),
293-306.