Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan

Journal of Agricultural Meteorology

Volumn 65, Issue 4, 2009, Pages 365-374

  Harazono, Yoshinobu ^a   Chikamoto, Kazuhiro ^b   Kikkawa, Shunsaku ^b   Iwata, Toru ^b   Nishida, Nana ^c   Ueyama, Masahito ^c   Kitaya, Yoshiaki ^c   Mano, Masayoshi ^d   MIYATa, Akira ^d  

^a UNIVERSITY OF ALASKA FAIRBANKS   (United States)

^b OKAYAMA UNIVERSITY   (Japan)

^c Osaka Prefecture University   (Japan)

^d NATIONAL INSTITUTE FOR AGRO ENVIRONMENTAL SCIENCES   (Japan)

Author keywords

CO2budget; Greenery ratio; MODIS; Remote sensing; Rice paddy

Indexed keywords

EID: 81355156476     PISSN: 00218588     EISSN: 18810136     Source Type: Journal    
DOI: 10.2480/agrmet.65.4.6     Document Type: Article

References (31)

1. Aubinet, M., Grelle, A., Ibrom, A., Rannik, U., Moncrieff, J., Foken, T., Kowalski, A. S., Martin, P. H., Berbigier, P., Bernhofer, Ch., Clement, R., Elbers, J., Granier, A., Grünwald, T., Morgenstern, K., Pilegaard, K., Rebmann, C., Snijders, W., Valentini, R., and Vesala, T., 2000: Estimates of the annual net carbon and water exchange of forests: The EUROFLUX Methodology. Adv. Ecol. Res. 30, 113-175.
2. Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, Ch., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw U. K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S., 2001: FLUXNET, A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull. Amer. Meteorol. Soc., 82, 2415-2434.
3. Gamon, J. A., Field, C. B., Roberts, D. A., Ustin, S. L., and Valentini, R., 1993: Functional patterns in an annual grassland during an AVIRIS overflight. Remote Sens. Environ., 44, 293-253.
4. Gitelson, A. A., Vina, A., Verma, S. B., Rundquist, D. C., Arkebauer, T. J. Burba, G. G., and Suyker A. E., 2006: Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity. JGR, 111, D08S11, doi:10.1029/2005JD006017.
5. Goetz, S. J., Prince, S. D., Goward, S. N., Thawley, M. M., and Small, J., 1999: Satellite remote sensing of primary production: an improved production efficiency modeling approach. Ecol. Model., 122, 239-255.
6. 2budget. Proc. 7th International Workshop, Global Change Connection to the Arctic (GCCA7), 312-315.
7. 2budget over arctic wet tundra by applying MODIS-visible bands. Proc. First International Symposium, Arctic Research (ISAR-1), 379-382.
8. Heinsch, F. A., Zhao, M., Running, S. W., Kimball, J. S., Nemani, R. R., Davis, K. J., Bolstad, P. V., Cook, B. D., Desai, A. R., Ricciuto, D. M., Law, B. E., Oechel, W. C., Kwon, H., Luo, H., Wofsy, S. C., Dunn, A. L., Munger, J. W., Baldocchi, D. D., Xu, L., Hollinger, D. Y., Richardson, A. D., Stoy, P. C., Siqueira, M. B. S., Monson, R. K., Burns, S. P., and Flanagan, L. B., 2006: Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Geosci. Remote Sens, 44, 1908-1925.
9. Hignett, P., 1992: Corrections to temperature measurements with a sonic anemometer. Bound.-Layer Meteorol, 61, 175-187.
10. Justice, C. O., Vermote, E., Townshend, J. R., Defries, R., Roy, D. P., Hall, D. K., Salomonson, V. V., Privette, J. L., Riggs, G., Strahler, A., Lucht, W., Myneni, R. B., Knyazikhin, Y., Running, S. W., Nemani, R. R., Wan, Z., Huete, A. R., van Leeuwen, W., Wolfe, R. E., Giglio, L., Muller, J., Lewis, P., and Barnsley, M. J. 1998: The moderate resolution imaging spectroradiometer (MODIS): Land remote sensing for global research. IEEE Geosci. Remote Sens, 36, 1228-1249.
11. Kaimal, J. C., and Gaynor, J. E., 1991: Another look at sonic thermometry. Bound.-Layer Meteorol. 56, 401-410.
12. thAsiaFlux Workshop, 57, Seoul, Korea, Nov. 17-19, 2008.
13. Kimball, K. S., Zhao, M., McDonald, K. C., and Running, S. W., 2006: Satellite remote sensing of terrestrial net primary production of the panarctic basin and Alaska. Mitigation and Adaptation Strategies for Global Change, doi: 10.1007/s11027-005-9014-5.
14. 2exchange for boreal and Arctic biomes using MODIS and AMSR-E. IEEE Geosci. Remote Sens., 47, 569-587.
15. Kitamoto, T., Ueyama, M., Harazono, Y., Iwata, T., and Yamamoto, S., 2007: Applications of NOAA/AVHRR and observed fluxes to estimate carbon budget at Alaska black spruce forests. J. Agric. Meteorol, 63, 171-183.
16. Mano, M., Miyata, A., Yasuda, Y., Nagai, H., Yamada, T., Ono, K., Saito, M., and Kobayashi, Y., 2007: Quality control for the open-path eddy covariance data, J. Agric. Meteorol, 63, 125-138
17. Massman, W. J., 2000: A simple method for estimating frequency response corrections for eddy covariance systems. Agric. For. Meteorol, 104, 185-198.
18. Massman, W. J., 2001: Reply to comment by Rannik on "A simple method for estimating frequency response corrections for eddy covariance systems". Agric. For. Meteorol, 107, 247-251.
19. Miyata, A., Leuning, R., Denmead, O. T., Kim, J., and Harazono, Y., 2000: Carbon dioxide and methane fluxes from an intermittently flooded paddy field. Agric For. Meteorol, 102, 287-303.
20. Miyata, A., Iwata, T., Nagai, H., Yamada, T., Yoshikoshi, H., Mano, M., Ono, K., Han, G. H., Harazono, Y., Ohtaki, E., Baten, M. A., Inohara, S., Takimoto, T., and Saito, S., 2005: Seasonal variation of carbon dioxide and methane fluxes at single cropping paddy fields in central and western Japan. Phyton, 45 (4), 89-97.
21. Nasahara, N. K., 2009: Simple algorithm for estimation of photosynthetically active radiation (PAR) using satellite data. SOLA, 5, 37-40.
22. Rannik, U., 2001: A comment on paper by W. J. Massman 'A simple method for estimating frequency response corrections for eddy covariance systems'. Agric For. Meteorol, 107, 241-245.
23. Richardson, A. D., Jenkins, J. P., Braswll, B. H., Hollinger, D. Y., Ollinger, S. V., and Smith, M-L., 2007: Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia, 152, 323-334.
24. Running, S. W., Namani, R. R., Heinsch, F. A., Zhao, M., Reeves, M., and Hashimoto, H., 2004: A continuous satellite-derived measure of global terrestrial primary production. Bio Sci, 54, 547-560.
25. Saito, M., Miyata, A., Nagai, H., and Yamada, T., 2005: Seasonal variation of carbon dioxide exchange in rice paddy field in Japan. Agric. For. Meteorol., 135, 93-109.
26. Stow, D. A., and other 23 authors, 2004: Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems. Remote Sens. Environ., 89, 281-308.
27. Tucker, C. J., and Sellers, P. J., 1986: Satellite remote sensing of primary production. Int. J. Remote Sens., 7, 1295-1416.
28. Turner, D. P., Ritts, W. D., Cohen, W. B., Gower, S. T., Running, S. W., Zahao, M., Costa, M. H., Kirschbaum, A. A., Ham, J. M., Saleska, S. R., and Ahl, D. E., 2006: Evaluation of MODIS NPP and GPP products across multiple biome. Remote Sens. Environ, 102, 282-292.
29. Wan, Z., Zhang, Y., Zhang, Q., and Li, Z. I., 2002: Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data. Remote Sens. Environ, 83, 163-180.
30. Webb, E. K., Pearman, G. I., and Leuning, R., 1980: Correction of flux measurements for density effects due to heat and water vapour transfer. Q. J. R. Met. Soc., 106, 85-100.
31. Xiao, X., Hollinger, D., Aber, J., Goltz M., Davidson, E. A., Zhang, Q., and Moore, B., 2004: Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote Sens. Environ., 89, 519-534.