Multi-scale analysis and validation of the Envisat MERIS Terrestrial Chlorophyll Index (MTCI) in woodland
作者： P. J. Curran , D. S. Boyd , S. F. Almond , J. Dash
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摘要: Satellite remote sensing can be used to estimate and monitor the chlorophyll content of vegetation canopies which are a key dynamic component global terrestrial ecosystems. The red-edge algorithm from remotely sensed data but is unsuitable for use with most satellite sensor imagery. To overcome this problem, new Envisat MERIS Terrestrial Chlorophyll index (MTCI) has been developed. It only operational MTCI available as Level 2 product European Space Agency. However, there need ‘validate’ over wide range environmental conditions. This paper reports on research that attempts validate using Compact Airborne Spectrographic Imager (CASI) imagery ground content. study site was predominantly woodland in south England (New Forest National Park) had contents. A transfer function derived CASI produce reference map content, when aggregated it compared derive – relationship (R squared = 0.56).
city.ac.uk参考文章(13)
P.J. Curran, D. Boyd, S. Almond, J. Dash, Investigating the factors affecting the relationship between the Envisat MERIS Terrestrial Chlorophyll Index and chlorophyll content: preliminary findings Remote Sensing and Photogrammetry Society. ,(2007)
P. Sun, A. Grignetti, S. Liu, R. Casacchia, R. Salvatori, F. Pietrini, F. Loreto, M. Centritto, Associated changes in physiological parameters and spectral reflectance indices in olive (Olea europaea L.) leaves in response to different levels of water stress Journal of remote sensing. ,vol. 29, pp. 1725- 1743 ,(2008) , 10.1080/01431160701373754
M. Luisa España‐Boquera, Raúl Cárdenas‐Navarro, Luis López‐Pérez, Vilma Castellanos‐Morales, Philippe Lobit, Estimating the Nitrogen Concentration of Strawberry Plants from Its Spectral Response Communications in Soil Science and Plant Analysis. ,vol. 37, pp. 2447- 2459 ,(2006) , 10.1080/00103620600820097
Giles M. Foody, Jadunandan Dash, Discriminating and mapping the c3 and c4 composition of grasslands in the northern Great Plains, USA Ecological Informatics. ,vol. 2, pp. 89- 93 ,(2007) , 10.1016/J.ECOINF.2007.03.009
R. Zurita‐Milla, J. G. P. W. Clevers, M. E. Schaepman, M. Kneubuehler, Effects of MERIS L1b radiometric calibration on regional land cover mapping and land products International Journal of Remote Sensing. ,vol. 28, pp. 653- 673 ,(2007) , 10.1080/01431160600821069
Yongqin Zhang, Jing M Chen, John R Miller, Thomas L Noland, None, Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery Remote Sensing of Environment. ,vol. 112, pp. 3234- 3247 ,(2008) , 10.1016/J.RSE.2008.04.005
Alan R. Wellburn, The Spectral Determination of Chlorophylls a and b, as well as Total Carotenoids, Using Various Solvents with Spectrophotometers of Different Resolution Journal of Plant Physiology. ,vol. 144, pp. 307- 313 ,(1994) , 10.1016/S0176-1617(11)81192-2
J. Dash, P. J. Curran, The MERIS terrestrial chlorophyll index International Journal of Remote Sensing. ,vol. 25, pp. 5403- 5413 ,(2004) , 10.1080/0143116042000274015
J. Dash, A. Mathur, G. M. Foody, P. J. Curran, J. W. Chipman, T. M. Lillesand, Land cover classification using multi-temporal MERIS vegetation indices Journal of remote sensing. ,vol. 28, pp. 1137- 1159 ,(2007) , 10.1080/01431160600784259
D SIMS, H LUO, S HASTINGS, W OECHEL, A RAHMAN, J GAMON, Parallel adjustments in vegetation greenness and ecosystem CO2 exchange in response to drought in a Southern California chaparral ecosystem Remote Sensing of Environment. ,vol. 103, pp. 289- 303 ,(2006) , 10.1016/J.RSE.2005.01.020