Articles | Volume 12, issue 15
https://doi.org/10.5194/bg-12-4621-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-4621-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Aug 2015
Research article |
| 05 Aug 2015
Deriving seasonal dynamics in ecosystem properties of semi-arid savanna grasslands from in situ-based hyperspectral reflectance
T. Tagesson
CORRESPONDING AUTHOR
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
R. Fensholt
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
S. Huber
DHI GRAS A/S, Agern Allé 5, 2970 Hørsholm, Denmark
S. Horion
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
I. Guiro
Laboratoire d'Enseignement et de Recherche en Géomatique, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar, BP 25275 Dakar-Fann, Senegal
A. Ehammer
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
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Revised manuscript not accepted
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Phytoplankton community structure at a high spatial resolution (<3km) was studied in the North Sea during a cruise in May 2011. A first comparison with PHYSAT reflectance anomalies enables the extrapolation of the community structure rather than a dominant type at the North Sea scale and was interpreted with its hydrological characteristics. This will seriously improve our understanding of the influence of community structure on biogeochemical processes at the daily and basin scales.
L. Peperzak, H. J. van der Woerd, and K. R. Timmermans
Biogeosciences, 12, 1659–1670, https://doi.org/10.5194/bg-12-1659-2015, https://doi.org/10.5194/bg-12-1659-2015, 2015
T. Hakala, O. Nevalainen, S. Kaasalainen, and R. Mäkipää
Biogeosciences, 12, 1629–1634, https://doi.org/10.5194/bg-12-1629-2015, https://doi.org/10.5194/bg-12-1629-2015, 2015
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A hyperspectral lidar produces point clouds with multiple spectral channels (colours) for each point. We measured a pine and used the spectral content to estimate chlorophyll content. We validated these results using chemical laboratory analysis of needles taken from the pine. Our prototype has limitations, but still shows the great potential of coloured point clouds. Potential applications include forestry, security, archaeology and city modelling.
C. Lin, S. C. Popescu, S. C. Huang, P. T. Chang, and H. L. Wen
Biogeosciences, 12, 49–66, https://doi.org/10.5194/bg-12-49-2015, https://doi.org/10.5194/bg-12-49-2015, 2015
N. K. Ganju, J. L. Miselis, and A. L. Aretxabaleta
Biogeosciences, 11, 7193–7205, https://doi.org/10.5194/bg-11-7193-2014, https://doi.org/10.5194/bg-11-7193-2014, 2014
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Light availability to seagrass is an important factor in their success. We deployed instrumentation to measure light in Barnegat Bay, New Jersey, and found lower availability in the southern bay due to high turbidity (suspended sediment), while the northern bay has higher availability. In the northern bay, dissolved organic material and chlorophyll are most responsible for blocking light to the seagrass canopy. We also found that boat wakes do not have a large effect on sediment resuspension.
M. W. Matthews and S. Bernard
Biogeosciences, 10, 8139–8157, https://doi.org/10.5194/bg-10-8139-2013, https://doi.org/10.5194/bg-10-8139-2013, 2013
P. Chatzimpiros and S. Barles
Biogeosciences, 10, 471–481, https://doi.org/10.5194/bg-10-471-2013, https://doi.org/10.5194/bg-10-471-2013, 2013
M. Rossini, S. Cogliati, M. Meroni, M. Migliavacca, M. Galvagno, L. Busetto, E. Cremonese, T. Julitta, C. Siniscalco, U. Morra di Cella, and R. Colombo
Biogeosciences, 9, 2565–2584, https://doi.org/10.5194/bg-9-2565-2012, https://doi.org/10.5194/bg-9-2565-2012, 2012
A. Fujiwara, T. Hirawake, K. Suzuki, and S.-I. Saitoh
Biogeosciences, 8, 3567–3580, https://doi.org/10.5194/bg-8-3567-2011, https://doi.org/10.5194/bg-8-3567-2011, 2011
C. Höpfner and D. Scherer
Biogeosciences, 8, 3359–3373, https://doi.org/10.5194/bg-8-3359-2011, https://doi.org/10.5194/bg-8-3359-2011, 2011
F. Gao, S. Stanič, K. Bergant, T. Bolte, F. Coren, T.-Y. He, A. Hrabar, J. Jerman, A. Mladenovič, J. Turšič, D. Veberič, and M. Iršič Žibert
Biogeosciences, 8, 2351–2363, https://doi.org/10.5194/bg-8-2351-2011, https://doi.org/10.5194/bg-8-2351-2011, 2011
Cited articles
Asner, G. P.: Biophysical and Biochemical Sources of Variability in Canopy Reflectance, Remote Sens. Environ., 64, 234–253, 1998.
Bicheron, P. and Leroy, M.: Bidirectional reflectance distribution function signatures of major biomes observed from space, J. Geophys. Res.-Atmos., 105, 26669–26681, 2000.
Bowyer, P. and Danson, F. M.: Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level, Remote Sens. Environ., 92, 297–308, 2004.
Ceccato, P., Gobron, N., Flasse, S., Pinty, B., and Tarantola, S.: Designing a spectral index to estimate vegetation water content from remote sensing data – Part 1: Theoretical approach, Remote Sens. Environ., 82, 188–197, 2002.
Cho, M. A., Skidmore, A., Corsi, F., van Wieren, S. E., and Sobhan, I.: Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression, Int. J. Appl. Earth Obs. Geoinf., 9, 414–424, 2007.
Cihlar, J., Manak, D., and Voisin, N.: AVHRR bidirectional reflectance effects and compositing, Remote Sens. Environ., 48, 77–88, 1994.
Coburn, C. A. and Peddle, D. R.: A low-cost field and laboratory goniometer system for estimating hyperspectral bidirectional reflectance, Can. J. Remote Sens., 32, 244–253, 2006.
Danson, F. M., Steven, M. D., Malthus, T. J., and Clark, J. A.: High-spectral resolution data for determining leaf water content, Int. J. Remote Sens., 13, 461–470, 1992.
Entcheva Campbell, P. K., Middleton, E. M., Corp, L. A., and Kim, M. S.: Contribution of chlorophyll fluorescence to the apparent vegetation reflectance, Sci. Total Environ., 404, 433–439, 2008.
Falge, E., Baldocchi, D., Olson, R., Anthoni, P., Aubinet, M., Bernhofer, C., Burba, G., Ceulemans, R., Clement, R., Dolman, H., Granier, A., Gross, P., Grunwald, T., Hollinger, D., Jensen, N. O., Katul, G., Keronen, P., Kowalski, A., Lai, C. T., Law, B. E., Meyers, T., Moncrieff, J., Moors, E., Munger, J. W., Pilegaard, K., Rannik, U., Rebmann, C., Suyker, A., Tenhunen, J., Tu, K., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: Gap filling strategies for defensible annual sums of net ecosystem exchange, Agric. For. Meteorol., 107, 43–69, 2001.
Fan, S. M., Wofsy, S. C., Bakwin, P. S., Jacob, D. J., and Fitzjarrald, D. R.: Atmosphere-Biosphere Exchange of CO2 and O3 in the Central Amazon Forest, J. Geophys. Res., 95, 16851–16864, 1990.
Fensholt, R., Sandholt, I., and Rasmussen, M. S.: Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements, Remote Sens. Environ., 91, 490–507, 2004.
Fensholt, R., Sandholt, I., and Stisen, S.: Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment, IEEE T. Geosci. Remote, 44, 1774–1786, 2006.
Fensholt, R., Huber, S., Proud, S. R., and Mbow, C.: Detecting Canopy Water Status Using Shortwave Infrared Reflectance Data From Polar Orbiting and Geostationary Platforms, IEEE J. Sel. Top. Appl., 3, 271–285, 2010a.
Fensholt, R., Sandholt, I., Proud, S. R., Stisen, S., and Rasmussen, M. O.: Assessment of MODIS sun-sensor geometry variations effect on observed NDVI using MSG SEVIRI geostationary data, Int. J. Remote Sens., 31, 6163–6187, 2010b.
Feret, J.-B., François, C., Asner, G. P., Gitelson, A. A., Martin, R. E., Bidel, L. P. R., Ustin, S. L., le Maire, G., and Jacquemoud, S.: PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments, Remote Sens. Environ., 112, 3030–3043, 2008.
Foken, T., Gøckede, M., Mauder, M., Mahrt, L., Amiro, B., and Munger, W.: Post-field data quality control, in: Handbook of Micrometerology – A guidebook for Surface Flux Measurement and Analysis, edited by: Lee, X., Massman, W., and Law, B., Kluwer Academic Publishers, London, 181–203, 2004.
Gamon, J. A., Peñuelas, J., and Field, C. B.: A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency, Remote Sens. Environ., 41, 35–44, 1992.
Gao, F., Jin, Y., Schaaf, C. B., and Strahler, A. H.: Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy, IEEE T. Geosci. Remote, 40, 1269–1278, 2002.
Gates, D. M., Keegan, H. J., Schleter, J. C., and Weidner, V. R.: Spectral Properties of Plants, Appl. Optics, 4, 11–20, 1965.
Gitelson, A. A., Merzlyak, M. N., and Lichtenthaler, H. K.: Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm, J. Plant Physiol., 148, 501–508, 1996.
Gower, S. T., Kucharik, C. J., and Norman, J. M.: Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems - a real or imaginary problem?, Remote Sens. Environ., 70, 29–51, 1999.
Hansen, P. M. and Schjoerring, J. K.: Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression, Remote Sens. Environ., 86, 542–553, 2003.
Hapke, B., DiMucci, D., Nelson, R., and Smythe, W.: The cause of the hot spot in vegetation canopies and soils: Shadow-hiding versus coherent backscatter, Remote Sens. Environ., 58, 63–68, 1996.
Hilker, T., Coops, N. C., Nesic, Z., Wulder, M. A., and Black, A. T.: Instrumentation and approach for unattended year round tower based measurements of spectral reflectance, Comput. Electron. Agr., 56, 72–84, 2007.
Hilker, T., Coops, N. C., Wulder, M. A., Black, T. A., and Guy, R. D.: The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements, Sci. Total Environ., 404, 411–423, 2008.
Hilker, T., Nesic, Z., Coops, N. C., and Lessard, D.: A new automated, multiangular radiometer instrument for tower-based observations of canopy reflectance (AMSPEC II), Instrum. Sci. Technol., 38, 319–340, 2010.
Holben, B. and Fraser, R. S.: Red and near-infrared sensor response to off-nadir viewing, Int. J. Remote Sens., 5, 145–160, 1984.
Hsieh, C. I., Katul, G., and Chi, T. W.: An approximate analytical model for footprint estimation of scalar fluxes in thermally stratified atmospheric flows, Adv. Water Res., 23, 765–772, 2000.
Huber, S., Koetz, B., Psomas, A., Kneubuehler, M., Schopfer, J. T., Itten, K. I., and Zimmermann, N. E.: Impact of multiangular information on empirical models to estimate canopy nitrogen concentration in mixed forest, J. Appl. Remote Sens., 4, 043530, https://doi.org/10.1117/1.3435334, 2010.
Huber, S., Tagesson, T., and Fensholt, R.: An automated field spectrometer system for studying VIS, NIR and SWIR anisotropy for semi-arid savanna, Remote Sens. Environ., 152, 547–556, 2014.
Huete, A. R., Hua, G., Qi, J., Chehbouni, A., and van Leeuwen, W. J. D.: Normalization of multidirectional red and NIR reflectances with the SAVI, Remote Sens. Environ., 41, 143–154, 1992.
Ide, R., Nakaji, T., and Oguma, H.: Assessment of canopy photosynthetic capacity and estimation of GPP by using spectral vegetation indices and the light-response function in a larch forest, Agric. For. Meteorol., 150, 389–398, 2010.
Inoue, Y., Moran, M. S., and Horie, T.: Analysis of spectral measurements in rice paddies for predicting rice growth and yield based on a simple crop simulation model, Plant Product. Sci., 1, 269–279, 1998.
Inoue, Y., Penuelas, J., Miyata, A., and Mano, M.: Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice, Remote Sens. Environ., 112, 156–172, 2008.
Jacquemoud, S., Verhoef, W., Baret, F., Bacour, C., Zarco-Tejada, P. J., Asner, G. P., François, C., and Ustin, S. L.: PROSPECT+SAIL models: A review of use for vegetation characterization, Remote Sens. Environ., 113, Supplement 1, S56–S66, 2009.
Javier García-Haro, F., Camacho-de Coca, F., and Meliá, J.: Retrieving leaf area index from multi-angular airborne data, Ann. Geophys., 49, 209–218, 2006.
Jin, H. and Eklundh, L.: A physically based vegetation index for improved monitoring of plant phenology, Remote Sens. Environ., 152, 512–525, 2014.
Jin, Y., Gao, F., Schaaf, C. B., Xiaowen, L., Strahler, A. H., Bruegge, C. J., and Martonchik, J. V.: Improving MODIS surface BRDF/Albedo retrieval with MISR multiangle observations, IEEE T. Geosci. Remote, 40, 1593–1604, 2002.
Joiner, J., Guanter, L., Lindstrot, R., Voigt, M., Vasilkov, A. P., Middleton, E. M., Huemmrich, K. F., Yoshida, Y., and Frankenberg, C.: Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2, Atmos. Meas. Tech., 6, 2803–2823, https://doi.org/10.5194/amt-6-2803-2013, 2013.
Kimes, D. S.: Dynamics of Directional Reflectance Factor Distributions for Vegetation Canopies, Appl. Optics, 22, 1364–1372, 1983.
Kumar, L.: High-spectral resolution data for determining leaf water content in Eucalyptus species: leaf level experiments, Geocarto International, 22, 3–16, 2007.
Lasslop, G., Reichstein, M., and Papale, D.: Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Global Change Biol., 16, 187–209, 2010.
Laurent, V. C. E., Verhoef, W., Clevers, J. G. P. W., and Schaepman, M. E.: Inversion of a coupled canopy–atmosphere model using multi-angular top-of-atmosphere radiance data: A forest case study, Remote Sens. Environ., 115, 2603–2612, 2011.
Lee, K., Cohen, W. B., Kennedy, R. E., Maiersperger, T. K., and Gower, S. T.: Hyperspectral versus multispectral data for estimating leaf area index in four different biomes, Remote Sens. Environ., 91, 508–520, 2004.
Leuning, R., Hughes, D., Daniel, P., Coops, N. C., and Newnham, G.: A multi-angle spectrometer for automatic measurement of plant canopy reflectance spectra, Remote Sens. Environ., 103, 236–245, 2006.
LI-COR Biosciences: EDDYPRO Eddy Covariance Software Version 4.0 User's Guide & Reference, LI-COR Inc., Lincoln, 200 pp., 2012.
Maignan, F., Bréon, F. M., and Lacaze, R.: Bidirectional reflectance of Earth targets: evaluation of analytical models using a large set of spaceborne measurements with emphasis on the Hot Spot, Remote Sens. Environ., 90, 210–220, 2004.
Martonchik, J. V., Bruegge, C. J., and Strahler, A. H.: A review of reflectance nomenclature used in remote sensing, Remote Sens. Rev., 19, 9–20, 2000.
Mbow, C., Fensholt, R., Rasmussen, K., and Diop, D.: Can vegetation productivity be derived from greenness in a semi-arid environment? Evidence from ground-based measurements, J. Arid Environ., 97, 56–65, 2013.
Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R., and Moreno, J.: Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications, Remote Sens. Environ., 113, 2037–2051, 2009.
Milton, E. J., Schaepman, M. E., Anderson, K., Kneubühler, M., and Fox, N.: Progress in field spectroscopy, Remote Sens. Environ., 113, Supplement 1, S92–S109, 2009.
Moncrieff, J. B., Massheder, J. M., de Bruin, H., Elbers, J., Friborg, T., Heusinkveld, B., Kabat, P., Scott, S., Soegaard, H., and Verhoef, A.: A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide, J. Hydrol., 188/189, 589–611, 1997.
Moncrieff, J. B., Clement, R., Finnigan, J., and Meyers, T.: Averaging, detrending and filtering of eddy covariance time series, in: Handbook of Micrometeorology: A Guide for Surface Flux Measurements, edited by: Lee, X., Massman, W. J., and Law, B., Kluwer Academic, Dordrecht, 7–31, 2004.
Mutanga, O. and Skidmore, A. K.: Narrow band vegetation indices overcome the saturation problem in biomass estimation, Int. J. Remote Sens., 25, 3999–4014, 2004.
Myneni, R. B. and Williams, D. L.: On the relationship between FAPAR and NDVI, Remote Sens. Environ., 49, 200–211, 1994.
Pisek, J., Ryu, Y., Sprintsin, M., He, L., Oliphant, A. J., Korhonen, L., Kuusk, J., Kuusk, A., Bergstrom, R., Verrelst, J., and Alikas, K.: Retrieving vegetation clumping index from Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution, Remote Sens. Environ., 138, 126–133, 2013.
Psomas, A., Kneubühler, M., Huber, S., Itten, K., and Zimmermann, N. E.: Hyperspectral remote sensing for estimating aboveground biomass and for exploring species richness patterns of grassland habitats, Int. J. Remote Sens., 32, 9007–9031, 2011.
Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., and Sorooshian, S.: A modified soil adjusted vegetation index, Remote Sens. Environ., 48, 119–126, 1994.
Rasmussen, M. O., Göttsche, F. M., Diop, D., Mbow, C., Olesen, F. S., Fensholt, R., and Sandholt, I.: Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data, Int. J. Appl. Earth Obs. Geoinf., 13, 517–527, 2011.
Richter, K., Atzberger, C., Hank, T. B., and Mauser, W.: Derivation of biophysical variables from Earth observation data: validation and statistical measures, J. Appl. Remote Sens., 6, 063557, https://doi.org/10.1117/1.JRS.6.063557, 2012.
Roberto, C., Lorenzo, B., Michele, M., Micol, R., and Cinzini, P.: Optical Remote Sensing of Vegetation Water Content, in: Hyperspectral Remote Sensing of Vegetation, edited by: Thenkabail, P. S., Lyon, J. G., and Huete, A., CRC Press, Taylor and Francis Group, Boca Raton, FL, 227–244, 2012.
Rouse, J. W., Haas, R. H., Schell, J. A., Deering, D. W., and Harlan, J. C.: Monitoring the Vernal Advancement of Retrogradation of Natural Vegetation, Type III, Final Report, Greenbelt, MD, 1974.
Sandmeier, S., Müller, C., Hosgood, B., and Andreoli, G.: Physical Mechanisms in Hyperspectral BRDF Data of Grass and Watercress, Remote Sens. Environ., 66, 222–233, 1998.
Schaepman-Strub, G., Schaepman, M. E., Painter, T. H., Dangel, S., and Martonchik, J. V.: Reflectance quantities in optical remote sensing – definitions and case studies, Remote Sens. Environ., 103, 27–42, 2006.
Schopfer, J., Dangel, S., Kneubühler, M., and Itten, K.: The Improved Dual-view Field Goniometer System FIGOS, Sensors, 8, 5120–5140, 2008.
Sims, D. A. and Gamon, J. A.: Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features, Remote Sens. Environ., 84, 526–537, 2003.
Sjöström, M., Ardö, J., Eklundh, L., El-Tahir, B. A., El-Khidir, H. A. M., Hellström, M., Pilesjö, P., and Seaquist, J.: Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan, Biogeosciences, 6, 129–138, https://doi.org/10.5194/bg-6-129-2009, 2009.
Soudani, K., Hmimina, G., Dufrêne, E., Berveiller, D., Delpierre, N., Ourcival, J.-M., Rambal, S., and Joffre, R.: Relationships between photochemical reflectance index and light-use efficiency in deciduous and evergreen broadleaf forests, Remote Sens. Environ., 144, 73–84, 2014.
Tagesson, T., Eklundh, L., and Lindroth, A.: Applicability of leaf area index products for boreal regions of Sweden, Int. J. Remote Sens., 30, 5619–5632, 2009.
Tagesson, T., Mastepanov, M., Tamstorf, M. P., Eklundh, L., Schubert, P., Ekberg, A., Sigsgaard, C., Christensen, T. R., and Ström, L.: High-resolution satellite data reveal an increase in peak growing season gross primary production in a high-Arctic wet tundra ecosystem 1992–2008, Int. J. Appl. Earth Obs. Geoinf., 18, 407–416, 2012.
Tagesson, T., Fensholt, R., Cropley, F., Guiro, I., Horion, S., Ehammer, A., and Ardö, J.: Dynamics in carbon exchange fluxes for a grazed semi-arid savanna ecosystem in West Africa, Agr. Ecosyst. Environ., 205, 15–24, 2015a.
Tagesson, T., Fensholt, R., Guiro, I., Rasmussen, M. O., Huber, S., Mbow, C., Garcia, M., Horion, S., Sandholt, I., Rasmussen, B. H., Göttsche, F. M., Ridler, M.-E., Olén, N., Olsen, J. L., Ehammer, A., Madsen, M., Olesen, F. S., and Ardö, J.: Ecosystem properties of semi-arid savanna grassland in West Africa and its relationship to environmental variability, Global Change Biol., 21, 250–264, 2015b.
Thenkabail, P. S., Smith, R. B., and De Pauw, E.: Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics, Remote Sens. Environ., 71, 158–182, 2000.
Thenkabail, P. S., Enclona, E. A., Ashton, M. S., and Van Der Meer, B.: Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications, Remote Sens. Environ., 91, 354–376, 2004.
Thenkabail, P. S., Lyon, J. G., and Huete, A.: Advances in hyperspectral remote sensing of vegetation and agricultural croplands, in: Hyperspectral Remote Sensing of Vegetation, edited by: Thenkabail, P. S., Lyon, J. G., and Huete, A., CRC Press, Taylor and Francis Group, Boca Raton, FL, 3–35, 2012.
Tucker, C. J.: Red and photographic infrared linear combinations for monitoring vegetation, Remote Sens. Environ., 8, 127–150, 1979.
van Leeuwen, W. J. D., Huete, A. R., and Laing, T. W.: MODIS Vegetation Index Compositing Approach: A Prototype with AVHRR Data, Remote Sens. Environ., 69, 264–280, 1999.
Verhoef, W. and Bach, H.: Coupled soil–leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data, Remote Sens. Environ., 109, 166–182, 2007.
Vickers, D. and Mahrt, L.: Quality control and flux sampling problems for tower and aircraft data, J. Atmos. Ocean. Tech., 14, 152–526, 1997.
Webb, E. K., Pearman, G. I., and Leuning, R.: Correction of the flux measurements for density effects due to heat and water vapour transfer, Q. J. Roy. Meteor. Soc., 106, 85–100, 1980.
Wilczak, J. M., Oncley, S. P., and Stage, S. A.: Sonic anemometer tilt correction algorithms, Bound.-Lay. Meteorol., 99, 127–150, 2001.
Short summary
Relationships between ecosystem properties of semi-arid savanna and reflected solar radiance between 35 and 1800nm were investigated. Normalised combinations of reflectance for the near infrared, shortwave infrared, and 600 to 700nm were strongly affected by solar and viewing angle effects. Ecosystem properties of savannas were strongly correlated with reflectance at 350-1800nm, and normalised combinations of reflectance were strong predictors of the savanna ecosystem properties.
Relationships between ecosystem properties of semi-arid savanna and reflected solar radiance...
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