Use of a green channel in remote sensing of global vegetation from EOS-MODIS

Andrieu, 1993, Indirect methods of estimating crop structure from optical measurements, 285

Baret, 1991, Potential and limits of vegetation indexes for LAI and APAR assessment, Remote Sens. Environ., 35, 161, 10.1016/0034-4257(91)90009-U

Baret, 1992, Modeled analysis of the biophysical nature of spectral shift and comparison with information content of broad bands, Remote Sens. Environ., 41, 133, 10.1016/0034-4257(92)90073-S

Buschmann, 1993, In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation, Int. J. Remote Sens., 14, 711, 10.1080/01431169308904370

Carter, 1993, Responses of leaf spectral reflectance to plant stress, Am. J. Bot., 80, 239, 10.2307/2445346

Carter, 1994, Ratios of leaf reflectances in narrow wavebands as indicators of plant stress, Int. J. Remote Sens., 15, 697, 10.1080/01431169408954109

Curran, 1991, The effect of a red leaf pigment on the relationship between red edge and chlorophyll concentration, Remote Sens. Environ., 35, 69, 10.1016/0034-4257(91)90066-F

Fraser, 1985, The relative importance of scattering and absorption in remote sensing, IEEE Trans. Geosci. Remote Sens., 23, 625, 10.1109/TGRS.1985.289380

Fukshansky, 1981, Optical properties of plants, 21

Gitelson, 1994, Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation, J. Plant Physiol., 143, 286, 10.1016/S0176-1617(11)81633-0

Gitelson, 1994, Quantitative estimation of chlorophyll-a using reflectance spectra: experiments with autumn chestnut and maple leaves, J. Photochem. Photobiol. (B), 22, 247, 10.1016/1011-1344(93)06963-4

Gitelson, 1996, Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll, J. Plant Physiol., 148, 494, 10.1016/S0176-1617(96)80284-7

Gitelson, 1996, Novel algorithms for remote sensing of chlorophyll content in higher plant leaves, Vol. IV, 1143

Horler, 1983, The red edge of plant leaf reflectance, Int. J. Remote Sens., 4, 273, 10.1080/01431168308948546

Holben, 1986, Characteristics of maximum value composite images for temporal AVHRR data, Int. J. Remote Sens., 7, 1417, 10.1080/01431168608948945

Huete, 1988, A soil-adjusted vegetation index (SAVI), Remote Sens. Environ., 25, 295, 10.1016/0034-4257(88)90106-X

Huete, 1994, An error and sensitivity analysis of the atmospheric and soil correcting variants of the NDVI for the MODIS-EOS, IEEE Trans. Geosci. Remote Sens., 32, 897, 10.1109/36.298018

Huete, 1994, Development of vegetation and soil indices for MODIS-EOS, Remote Sens. Environ., 49, 224, 10.1016/0034-4257(94)90018-3

Kaufman, 1992, Atmospherically resistance vegetation index (ARVI) for EOS-MODIS, IEEE Trans. Geosci. Remote Sens., 30, 261, 10.1109/36.134076

Lichtenthaler, 1987, Chlorophyll and carotenoids: pigments of photosynthetic biomembranes, Meth. Enzym., 148, 331

Lichtenthaler, 1996, Non-destructive determination of chlorophyll content of leaves of a green and an aurea mutant of tobacco by reflectance measurements, J. Plant Physiol., 148, 501, 10.1016/S0176-1617(96)80283-5

Merzlyak, 1995, Why and what for the leaves are yellow in autumn? On the interpretation of optical spectra of senescing leaves (Acer platanoides L.), J. Plant Physiol., 145, 315, 10.1016/S0176-1617(11)81896-1

Moss, 1991, Analysis of red edge spectral characteristics and total chlorophyll values for red spruce (Picea rubens) branch segments from Mt. Moosilauke, NH, U.S.A., Vol. III, 1529

Sellers, 1985, Canopy reflectance, photosynthesis and transpiration, Int. J. Remote Sens., 6, 1335, 10.1080/01431168508948283

Sellers, 1987, Canopy reflectance, photosynthesis and transpiration. II. The role of biophysics in the linearity of their interdependence, Remote Sens. Environ., 21, 143, 10.1016/0034-4257(87)90051-4

Tanner, 1986, Veranderungen der spectralen Eigenschaften der Blatter der Buche (Fagus silvatica L.) von Laubaustrieb bis Laubfall, Allg. Forst. Jagdztg., 157, 108

Tanré, 1990, Description of a computer code to simulate the satellite signal in the solar spectrum: 5S code, Int. J. Remote Sens., 11, 659, 10.1080/01431169008955048

Thomas, 1977, Leaf reflectance vs. leaf chlorophyll and cartoenoid concentration for eight crops, Agron. J., 69, 799, 10.2134/agronj1977.00021962006900050017x

Tucker, 1979, Red and photographic infrared linear combination for monitoring vegetation, Remote Sens. Environ., 8, 127, 10.1016/0034-4257(79)90013-0

Vermote, 1995, Second simulation of the satellite signal in the solar spectrum: an overview, IEEE Trans. Geosci. Remote Sens.

Vogelman, 1986, Plants as light traps, Physiol. Plant., 68, 704, 10.1111/j.1399-3054.1986.tb03421.x

Vogelman, 1993, Red edge spectral measurements from sugar maple leaves, Int. J. Remote Sens., 14, 1563, 10.1080/01431169308953986

Yoder, 1994, The normalized difference vegetation index of small Douglas-fir canopies with varying chlorophyll concentrations, Remote Sens. Environ., 49, 81, 10.1016/0034-4257(94)90061-2