Gitelson, Anatoly: UNL (Project Lead)
Masek, Jeffrey (Jeff): NASA GSFC (Institution Lead)
Project Funding:
2008 - 2011
NRA: 2007 NASA: Carbon Cycle Science
Funded by NASA
Abstract:
An accurate and synoptic quantification of gross primary production (GPP) in crops is essential for studies of carbon budgets at regional and global scales. In this study, we presented and tested a model, relating crop GPP to a product of total canopy chlorophyll (Chl) content and potential incident photosynthetically active radiation (PARpotential). The approach is based on remotely sensed data; specifically, vegetation indices (VI) that are proxies for total Chl content and PARpotential, which is incident PAR under a condition of minimal atmospheric aerosol loading. Using VIs retrieved from surface reflectance Landsat and MODIS 250 m resolution data, we found that the model is capable of accurately estimating GPP in maize, with coefficient of variation (CV) below 20%, and in soybean with CV below 30%. The algorithms established and calibrated over three Mead, Nebraska AmeriFlux sites were able to estimate maize and soybean GPP at tower flux sites in Minnesota, Iowa and Illinois with acceptable accuracy.
Publications:
Nguy-Robertson, A., Gitelson, A., Peng, Y., Vina, A., Arkebauer, T., Rundquist, D. 2012. Green Leaf Area Index Estimation in Maize and Soybean: Combining Vegetation Indices to Achieve Maximal Sensitivity. Agronomy Journal. 104(5), 1336-1347. DOI: 10.2134/agronj2012.0065
Sakamoto, T., Gitelson, A. A., Wardlow, B. D., Arkebauer, T. J., Verma, S. B., Suyker, A. E., Shibayama, M. 2011. Application of day and night digital photographs for estimating maize biophysical characteristics. Precision Agriculture. 13(3), 285-301. DOI: 10.1007/s11119-011-9246-1
Guindin-Garcia, N., Gitelson, A. A., Arkebauer, T. J., Shanahan, J., Weiss, A. 2012. An evaluation of MODIS 8- and 16-day composite products for monitoring maize green leaf area index. Agricultural and Forest Meteorology. 161, 15-25. DOI: 10.1016/j.agrformet.2012.03.012
Gitelson, A. A., Peng, Y., Masek, J. G., Rundquist, D. C., Verma, S., Suyker, A., Baker, J. M., Hatfield, J. L., Meyers, T. 2012. Remote estimation of crop gross primary production with Landsat data. Remote Sensing of Environment. 121, 404-414. DOI: 10.1016/j.rse.2012.02.017
Sakamoto, T., Gitelson, A. A., Nguy-Robertson, A. L., Arkebauer, T. J., Wardlow, B. D., Suyker, A. E., Verma, S. B., Shibayama, M. 2012. An alternative method using digital cameras for continuous monitoring of crop status. Agricultural and Forest Meteorology. 154-155, 113-126. DOI: 10.1016/j.agrformet.2011.10.014
Kurum, M. 2013. Quantifying scattering albedo in microwave emission of vegetated terrain. Remote Sensing of Environment. 129, 66-74. DOI: 10.1016/j.rse.2012.10.021
Vina, A., Gitelson, A. A., Nguy-Robertson, A. L., Peng, Y. 2011. Comparison of different vegetation indices for the remote assessment of green leaf area index of crops. Remote Sensing of Environment. 115(12), 3468-3478. DOI: 10.1016/j.rse.2011.08.010
Sakamoto, T., Gitelson, A. A., Wardlow, B. D., Verma, S. B., Suyker, A. E. 2011. Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data. Remote Sensing of Environment. 115(12), 3091-3101. DOI: 10.1016/j.rse.2011.06.015
Feret, J., Francois, C., Gitelson, A., Asner, G. P., Barry, K. M., Panigada, C., Richardson, A. D., Jacquemoud, S. 2011. Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling. Remote Sensing of Environment. 115(10), 2742-2750. DOI: 10.1016/j.rse.2011.06.016
Peng, Y., Gitelson, A. A. 2011. Application of chlorophyll-related vegetation indices for remote estimation of maize productivity. Agricultural and Forest Meteorology. 151(9), 1267-1276. DOI: 10.1016/j.agrformet.2011.05.005
Hilker, T., Gitelson, A., Coops, N. C., Hall, F. G., Black, T. A. 2011. Tracking plant physiological properties from multi-angular tower-based remote sensing. Oecologia. 165(4), 865-876. DOI: 10.1007/s00442-010-1901-0
Peng, Y., Gitelson, A. A., Keydan, G., Rundquist, D. C., Moses, W. 2011. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sensing of Environment. 115(4), 978-989. DOI: 10.1016/j.rse.2010.12.001
Gitelson, A.A., (2011). Non-destructive estimation of foliar pigment (chlorophylls, carotenoids and anthocyanins) contents: espousing a semi-analytical three-band model. Chapter 6 in Hyperspectral Remote Sensing of Vegetation (Thenkabail, P.S., Lyon, J.G., Huete, A., Eds), pp. 141-165, Taylor and Francis.
Gitelson, A.A., (2011). Remote Sensing estimation of crop biophysical characteristics at various scales. Chapter 15 in Hyperspectral Remote Sensing of Vegetation (Thenkabail, P.S., Lyon, J.G., Huete, A., Eds), pp. 329-358, Taylor and Francis.
Vina, A., Gitelson, A. A. 2011. Sensitivity to Foliar Anthocyanin Content of Vegetation Indices Using Green Reflectance. IEEE Geoscience and Remote Sensing Letters. 8(3), 464-468. DOI: 10.1109/LGRS.2010.2086430
Peng, Y., Gitelson, A.A., Keydan, G.P., Rundquist, D.C., Leavitt, B., Verma, S.B., and A.E. Suyker. (2010). Remote estimation of Gross Primary Production in Maize. Proceedings of 10th International Conference on Precision Agriculture, July 18-21, 2010, Denver Colorado USA, 10th ICPA Proceedings CD, pp. 1-15.
Sakamoto, T., Wardlow, B. D., Gitelson, A. A., Verma, S. B., Suyker, A. E., Arkebauer, T. J. 2010. A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data. Remote Sensing of Environment. 114(10), 2146-2159. DOI: 10.1016/j.rse.2010.04.019
Zygielbaum, A. I., Gitelson, A. A., Arkebauer, T. J., Rundquist, D. C. 2009. Non-destructive detection of water stress and estimation of relative water content in maize. Geophysical Research Letters. 36(12). DOI: 10.1029/2009GL038906
Ustin, S. L., Gitelson, A. A., Jacquemoud, S., Schaepman, M., Asner, G. P., Gamon, J. A., Zarco-Tejada, P. 2009. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sensing of Environment. 113, S67-S77. DOI: 10.1016/j.rse.2008.10.019
Gitelson, A. A., Chivkunova, O. B., Merzlyak, M. N. 2009. Nondestructive estimation of anthocyanins and chlorophylls in anthocyanic leaves. American Journal of Botany. 96(10), 1861-1868. DOI: 10.3732/ajb.0800395
2011 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
- Remote estimation of crop gross primary productivity using Landsat and MODIS data
-- (Anatoly A. Gitelson, Yi Peng, Toshihiro Sakamoto, Jeffrey Masek, Shashi Verma, Andrew E Suyker, John M Baker, Jerry L Hatfield, Tilden Meyers)
[abstract]
2010 NASA Terrestrial Ecology Science Team Meeting Poster(s)
- Monitoring crop gross primary productivity using Landsat data
-- (Anatoly A Gitelson, Yi Peng, Jeffrey G Masek, Galina P Keydan, Donald C Rundquist, Shashi B Verma, Andrew E Suyker)
[abstract]
[poster]
More details may be found in the following project profile(s):
