The potential of the greenness and radiation (GR) model to interpret 8-day gross primary production of vegetation

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 88, Issue , 2014, Pages 69-79

  Wu, Chaoyang ^a,b   Gonsamo, Alemu ^b   Zhang, Fangmin ^c   Chen, Jing M ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF TORONTO   (Canada)

^c NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Carbon cycle; Climate change; Enhanced vegetation index; Flux; Gross primary production; Remote sensing

Indexed keywords

ATMOSPHERIC TEMPERATURE; CARBON; CLIMATE CHANGE; FLUXES; MEAN SQUARE ERROR; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; VEGETATION;

CARBON CYCLES; ENHANCED VEGETATION INDEX; GROSS PRIMARY PRODUCTION; LAND SURFACE TEMPERATURE; MODEL INTERCOMPARISONS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NATIONAL CENTER FOR ENVIRONMENTAL PREDICTIONS; ROOT MEAN SQUARE ERRORS;

FORESTRY;

ALGORITHM; CARBON CYCLE; CARBON FLUX; CLIMATE CHANGE; LAND SURFACE; MODIS; NET PRIMARY PRODUCTION; RADIATION BUDGET; REMOTE SENSING; SURFACE TEMPERATURE; VEGETATION COVER; VEGETATION INDEX;

CARBON; FORESTRY; IMAGE ANALYSIS; INDEXING; PLANTS; REMOTE SENSING; SATELLITES;

EID: 84890846704     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.10.015     Document Type: Article

References (50)

1. Barr A.G., Black T.A., Hogg E.H., Kljun N., Morgenstern K., Nesic Z. Interannual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production. Agric. For. Meteorol. 2004, 126(3-4):237-255.
2. Beer C., Reichstein M., Tomelleri E., Ciais P., Jung M., Carvalhais N., Rödenbeck C., Arain M.A., Baldocchi D., Bonan G.B., Bondeau A., Cescatti A., Lasslop G., Lindroth A., Lomas M., Luyssaert S., Margolis H., Oleson K.W., Roupsard O., Veenendaal E., Viovy N., Williams C., Ian Woodward F., Papale D. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science 2010, 329(5993):834-838.
3. Betts A.K., Zhao M., Dirmeyer P.A., Beljaars A.C.M. Comparison of ERA40 and NCEP/DOE near-surface data sets with other ISLSCP-II data sets. J. Geophys. Res. 2006, 111:D22S04. 10.1029/2006JD007174.
4. Chen J.M., Mo G., Pisek J., Liu J., Deng F., Ishizawa M., Chan D. Effects of foliage clumping on the estimation of global terrestrial gross primary productivity. Global Biogeochem. Cycles 2012, 26:GB1019. 10.1029/2010GB003996.
5. Cheng Y.B., Middleton E.M., Huemmrich K.F., Zhang Q., Campbell P.K.E., Corp L.A., Russ A.L., Kustas W.P. Utilizing in situ directional hyperspectral measurements to validate bio-indicator simulations for a corn crop canopy. Ecol. Inform. 2010, 5(5):330-338.
6. Coops N.C., Black T.A., Jassal R.S., Trofymow J.A., Morgenstern K. Comparison of MODIS, eddy covariance determined and physiologically modeled gross primary production (GPP) in a Douglas-fir forest stand. Remote Sens. Environ. 2007, 107(3):385-401.
7. Dash J., Curran P.J. The MERIS terrestrial chlorophyll index. Int. J. Remote Sens. 2004, 25(23):5403-5413.
8. Desai A.R., Richardson A.D., Moffat A.M., Kattge J., Hollinger D.Y., Barr A., Falge E., Noormets A., Papale D., Reichstein M., Stauch V.J. Cross site evaluation of eddy covariance GPP and RE decomposition techniques. Agric. For. Meteorol. 2008, 148(6-7):821-838.
9. Field C.B., Behrenfeld M.J., Randerson J.T., Falkowski P. Primary production of the biosphere: integrating terrestrial and oceanic components. Science 1998, 281(5374):237-240.
10. Gamon J.A., Serrano L., Surfus J.S. The photochemical reflectance index: an optical indicator of photosynthesis radiation use efficiency across species, functional types, and nutrient levels. Oecologia 1997, 112(4):492-501.
11. Gitelson A.A. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. J. Plant Physiol. 2004, 161(2):165-173.
12. Gitelson A.A., Viña A., Masek J.G., Verma S.B., Suyker A.E. Synoptic monitoring of gross primary productivity of maize using Landsat data. IEEE Geosci. Remote Sens. Lett 2008, 10.1109/LGRS.2008.915598.
13. Gitelson A.A., Viña A., Verma S.B., Rundquist D.C., Arkebauer T.J., Keydan G., Leavitt B., Ciganda V., Burba G.G., Suyker A.E. Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J. Geophys. Res. 2006, 111:D08S11. 10.1029/2005JD006017.
14. Hall F.G., Hilker T., Coops N.C. PHOTOSYNSAT, photosynthesis from space: theoretical foundations of a satellite concept and validation from tower and spaceborne data. Remote Sens. Environ. 2011, 115(8):1918-1925.
15. Harris A., Dash J. The potential of the MERIS terrestrial chlorophyll index for carbon flux estimation. Remote Sens. Environ. 2010, 114(8):1856-1862.
16. Hilker T., Coops N.C., Hall F.G., Black T.A., Wulder M.A., Nesic Z., Krishnan P. Separating physiologically and directionally induced changes in PRI using BRDF models. Remote Sens. Environ. 2008, 112(6):2777-2788.
17. Hilker T., Coops N.C., Wulder M.A., Black T.A., 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. 2008, 404(2-3):411-423.
18. Huete A., Didan K., Miura T., Rodriguez E.P., Gao X., Ferreira L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 2002, 83(1-2):195-213.
19. 2 flux tower data. Agric. For. Meteorol. 2011, 151(12):1514-1528.
20. Kanniah K.D., Beringer J., Hutley L.B., Tapper N.J., Zhu X. Evaluation of collections 4 and 5 of the MODIS gross primary productivity product and algorithm improvement at a tropical savanna site in northern Australia. Remote Sens. Environ. 2009, 113(9):1808-1822.
21. Monteith J.L. Solar radiation and production in tropical ecosystems. J. Appl. Ecol. 1972, 9(3):747-766.
22. Mu Q., Zhao M., Running S.W. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens. Environ. 2011, 115(8):1781-1800.
23. Papale D., Valentini A. A new assessment of European forests carbon exchange by eddy fluxes and artificial neural network spatialization. Glob. Change Biol. 2003, 9(4):525-535.
24. Papale D., Reichstein M., Aubinet M., Canfora E., Bernhofer C., Kutsch W., Longdoz B., Rambal S., Valentini R., Vesala T., Yakir D. Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 2006, 3(4):571-583.
25. Peng Y., Gitelson A.A. Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content. Remote Sens. Environ. 2012, 117:440-448.
26. Peng Y., Gitelson A.A. Application of chlorophyll-related vegetation indices for remote estimation of maize productivity. Agric. For. Meteorol. 2011, 151(9):1267-1276.
27. Peng Y., Gitelson A.A., Keydan G., Rundquist D.C., Moses W. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sens. Environ. 2011, 115(4):978-989.
28. Reichstein M., Falge E., Baldocchi D., Papale D., Aubinet M., Berbigier P., Bernhofer C., Buchmann N., Gilmanov T., Granier A., Grunwald T., Havrankova K., Ilvesniemi H., Janous D., Knohl A., Laurila T., Lohila A., Loustau D., Matteucci G., Meyers T., Miglietta F., Ourcival J.M., Pumpanen J., Rambal S., Rotenberg E., Sanz M., Tenhunen J., Seufert G., Vaccari F., Vesala T., Yakir D., Valentini R. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob. Change Biol. 2005, 11(9):1424-1439.
29. Rouse J.W., Haas R.H., Schell J.A., Deering D.W., Harlan J.C. Monitoring the vernal advancements and retrogradation of natural vegetation. NASA/GSFC. Final Report 1974, 1-137. Greenbelt, MD, USA.
30. Running S.W., Nemani R.R., Heinsch F.A., Zhao M., Reeves M., Hashimoto H. A continuous satellite-derived measure of global terrestrial primary production. Bioscience 2004, 54(6):547-560.
31. Ryu, Y., Baldocchi, D.D., Kobayashi, H., van Ingen, C., Li, J., Black, T.A., Beringer, J., van Gorsel, E., Knohl, A., Law, B.E., Roupsard, O., 2011. Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales. Global Biogeochemical Cycles, 25(GB4017).. http://dx.doi.org/10.1029/2011GB004053.
32. Sakamoto T., Gitelson A.A., Wardlow B.D., Verma S.B., Suyker A.E. Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data. Remote Sens. Environ. 2011, 115(12):3091-3101.
33. Sims D.A., Rahman A.F., Cordova V.D., El-Masri B.Z., Baldocchi D.D., Bolstad P.V., Flanagan L.B., Goldstein A.H., Hollinger D.Y., Misson L., Monson R.K., Oechel W.C., Schmid H.P., Wofsy S.C., Xu L. A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS. Remote Sens. Environ. 2008, 112(4):1633-1646.
34. Sjöström M., Ardö J., Arneth A., Boulain N., Cappelaere B., Eklundh L., de Grandcourt A., Kutsch W.L., Merbold L., Nouvellon Y., Scholes R.J., Schubert P., Seaquist J., Veenendaal E.M. Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems. Remote Sens. Environ. 2011, 115(4):1081-1089.
35. Turner D.P., Urbanski S., Bremer D., Wofsy S.C., Meyers T., Gower S.T., Gregory M. A cross-biome comparison of daily light use efficiency for gross primary production. Glob. Change Biol. 2003, 9(3):383-395.
36. Vermote E.F., El Saleous N., Justice C.O., Kaufman Y.J., Privette J.L., Remer L., Roger J.C., Tanré D. Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: background, operational algorithm and validation. J. Geophys. Res. 1997, 102(D14):17131-17141.
37. Wan Z. New refinements and validation of the MODIS land-surface temperature/emissivity products. Remote Sens. Environ. 2008, 112(1):59-74.
38. Wang H., Jia G., Fu C., Feng J., Zhao T., Ma Z. Deriving maximal light use efficiency from coordinated flux measurements and satellite data for regional gross primary production modeling. Remote Sens. Environ. 2010, 114(10):2248-2258.
39. Wu C., Chen J.M., Huang N. Predicting gross primary production from the enhanced vegetation index and photosynthetically active radiation: evaluation and calibration. Remote Sens. Environ. 2011, 115(12):3424-3435.
40. Wu C., Chen J.M., Desai A.R., Hollinger D.Y., Arain M.A., Margolis H.A., Gough C.M., Staebler R.M. Remote sensing of canopy light use efficiency in temperate and boreal forests of North America using MODIS imagery. Remote Sens. Environ. 2012, 118:60-72.
41. Wu C., Munger J.W., Niu Z., Kuang D. Comparison of multiple models for estimating gross primary production using MODIS and eddy covariance data in Harvard Forest. Remote Sens. Environ. 2010, 114(12):2925-2939.
42. Wu C., Niu Z., Tang Q., Huang W., Rivard B., Feng J. Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices. Agric. For. Meteorol. 2009, 149(6-7):1015-1021.
43. Xiao X.M., Boles S., Liu J.Y., Zhuang D.F., Frolking S., Li C.S., Salas W., Moore B. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sens. Environ. 2005, 95(4):480-492.
44. Xiao X., Boles S., Frolking S., Li C., Babu J.Y., Salas W., Berrien Moore I.I.I. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sens. Environ. 2006, 100(1):95-113.
45. Yuan W., Liu S., Yu G., Bonnefond J., Chen J., Davis K., Desai A.R., Goldstein A.H., Gianelle D., Rossi F., Suyker A.E., Verma S.B. Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sens. Environ. 2010, 114(7):1416-1431.
46. chl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal Aspen forest?. Remote Sens. Environ. 2009, 113(4):880-888.
47. Zhang F., Chen J.M., Chen J., Gough C.M., Martin T., Dragoni D. Evaluating spatial and temporal patterns of MODIS GPP over the conterminous U.S. against flux measurements and a process model. Remote Sens. Environ. 2012, 124:717-729.
48. Zhao M., Running S.W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 2010, 329(5994):940-943.
49. Zhao M., Heinsch F.A., Nemani R.R., Running S.W. Improvement of the MODIS terrestrial gross and net primary production global dataset. Remote Sens. Environ. 2005, 95(2):164-176.
50. Zhao M., Running S.W., Nemani R.R. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. J. Geophys. Res. 2006, 111:G01002. 10.1029/2004JG000004.