Access the full text.
Sign up today, get DeepDyve free for 14 days.
13 Natural Resources Building
S. Running, R. Nemani, F. Heinsch, Maosheng Zhao, M. Reeves, H. Hashimoto (2004)
A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production, 54
A. Gitelson, Y. Kaufman, M. Merzlyak (1996)
Use of a green channel in remote sensing of global vegetation from EOS- MODISRemote Sensing of Environment, 58
F. Hall, K. Huemmrich, S. Goetz, P. Sellers, J. Nickeson (1992)
Satellite remote sensing of surface energy balance : success, failures, and unresolved issues in FIFEJournal of Geophysical Research, 97
Y. Govaerts, M. Verstraete, B. Pinty, N. Gobron (1999)
Designing optimal spectral indices: A feasibility and proof of concept studyInternational Journal of Remote Sensing, 20
A. Suyker, S. Verma, G. Burba, T. Arkebauer, D. Walters, K. Hubbard (2004)
Growing season carbon dioxide exchange in irrigated and rainfed maizeAgricultural and Forest Meteorology, 124
E. Kanemasu (1974)
Seasonal canopy reflectance patterns of wheat, sorghum, and soybeanRemote Sensing of Environment, 3
A. Gitelson, Yuri Gritz, M. Merzlyak (2003)
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.Journal of plant physiology, 160 3
N. Hanan, G. Burba, S. Verma, J. Berry, A. Suyker, E. Walter-Shea (2002)
Inversion of net ecosystem CO2 flux measurements for estimation of canopy PAR absorptionGlobal Change Biology, 8
A. Viña, A. Gitelson, D. Rundquist, G. Keydan, B. Leavitt, J. Schepers (2004)
Monitoring Maize (Zea mays L.) Phenology with Remote SensingAgronomy Journal, 96
A. Gitelson, Y. Kaufman (1998)
MODIS NDVI Optimization To Fit the AVHRR Data Series—Spectral ConsiderationsRemote Sensing of Environment, 66
A. Ruimy, B. Saugier, G. Dedieu (1994)
Methodology for the estimation of terrestrial net primary production from remotely sensed dataJournal of Geophysical Research, 99
G. Asrar, M. Fuchs, E. Kanemasu, J. Hatfield (1984)
Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1Agronomy Journal, 76
T. Dawson, P. North, S. Plummer, P. Curran (2003)
Forest ecosystem chlorophyll content: Implications for remotely sensed estimates of net primary productivityInternational Journal of Remote Sensing, 24
A. Gitelson, A. Viña, V. Ciganda, D. Rundquist, T. Arkebauer (2005)
Remote estimation of canopy chlorophyll content in cropsGeophysical Research Letters, 32
A. Viña, G. Henebry, A. Gitelson (2004)
Satellite monitoring of vegetation dynamics: Sensitivity enhancement by the wide dynamic range vegetation indexGeophysical Research Letters, 31
B. Yoder, R. Waring (1994)
The normalized difference vegetation index of small Douglas-fir canopies with varying chlorophyll concentrationsRemote Sensing of Environment, 49
K. Gallo, C. Daughtry, M. Bauer (1985)
Spectral estimators of absorbed photosynthetically active radiation in corn canopies., 062984
A. Gitelson, M. Merzlyak (1994)
Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimationJournal of Plant Physiology, 143
D. Rundquist, Richard Perk, B. Leavitt, G. Keydan, A. Gitelson (2004)
Collecting Spectral Data over Cropland Vegetation Using Machine-Positioning versus Hand-Positioning of the SensorComputers and Electronics in Agriculture, 43
S. Goward, K. Huemmrich (1992)
Vegetation canopy PAR absorptance and the normalized difference vegetation index - An assessment using the SAIL modelRemote Sensing of Environment, 39
P. Sellers (1985)
Canopy reflectance, photosynthesis and transpirationInternational Journal of Remote Sensing, 6
Georgiy Burba (2005)
Water and energy fluxes in native tallgrass prairie and cultivated wheat ecosystems
A. Gitelson (2004)
Wide Dynamic Range Vegetation Index for remote quantification of biophysical characteristics of vegetation.Journal of plant physiology, 161 2
A. Gitelson, A. Viña, T. Arkebauer, D. Rundquist, G. Keydan, B. Leavitt (2003)
Remote estimation of leaf area index and green leaf biomass in maize canopiesGeophysical Research Letters, 30
R. Myneni, R. Ramakrishna, R. Nemani, S. Running (1997)
Estimation of global leaf area index and absorbed par using radiative transfer modelsIEEE Trans. Geosci. Remote. Sens., 35
F. Baret, G. Guyot (1991)
Potentials and limits of vegetation indices for LAI and APAR assessmentRemote Sensing of Environment, 35
J. Hatfield, G. Asrar, E. Kanemasu (1984)
Intercepted photosynthetically active radiation estimated by spectral reflectanceRemote Sensing of Environment, 14
The fraction of absorbed photosynthetically active radiation, fAPAR, is an important biophysical characteristic in models of gas exchange between the terrestrial boundary layer and the atmosphere, as well as in the analysis of vegetation productivity. Synoptic estimation of fAPAR has been performed by using NDVI as a linear proxy of fAPAR, despite the saturation of NDVI at fAPAR beyond 0.7. This paper analyzes the NDVI/fAPAR relationship in row crops (i.e. maize and soybean), and evaluates alternative vegetation indices to overcome the loss of sensitivity of NDVI at moderate‐to‐high vegetation biomass. Red‐edge NDVI, which uses NIR and a band around 700 nm and the recently proposed Wide Dynamic Range Vegetation Index, which uses red and NIR bands only, were found to be sensitive to fAPAR variation along its entire range and exhibited significant increase in sensitivity to fAPAR.
Geophysical Research Letters – Wiley
Published: Sep 1, 2005
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.