메뉴 건너뛰기




Volumn 51, Issue 10, 2008, Pages 1501-1512

Modeling gross primary production of a temperate grassland ecosystem in Inner Mongolia, China, using MODIS imagery and climate data

Author keywords

Eddy covariance; GPP; Remote sensing; Xilin Gol

Indexed keywords

FLUXES; PHOTOSYNTHESIS; REMOTE SENSING; SPACE OPTICS; SPECTROMETERS; STANDARDS; TANTALUM; VEGETATION;

EID: 52249099062     PISSN: 10069313     EISSN: 18622801     Source Type: Journal    
DOI: 10.1007/s11430-008-0113-5     Document Type: Article
Times cited : (52)

References (29)
  • 1
    • 0037010666 scopus 로고    scopus 로고
    • Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements
    • Falge E, Baldocchi D, Tenhunen J, et al. Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agric For Meteorol, 2002, 113: 53-74
    • (2002) Agric For Meteorol , vol.113 , pp. 53-74
    • Falge, E.1    Baldocchi, D.2    Tenhunen, J.3
  • 2
    • 0030497596 scopus 로고    scopus 로고
    • The propagation of errors in long-term measurements of land-atmosphere fluxes of carbon and water
    • Moncreiff J B, Malhi Y, Leuning R. The propagation of errors in long-term measurements of land-atmosphere fluxes of carbon and water. Glob Change Biol, 1996, 2: 231-240
    • (1996) Glob Change Biol , vol.2 , pp. 231-240
    • Moncreiff, J.B.1    Malhi, Y.2    Leuning, R.3
  • 3
    • 0033215477 scopus 로고    scopus 로고
    • A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling, and EOS satellite data
    • Running S W, Baldocchi D D, Turner D P, et al. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling, and EOS satellite data. Remote Sens Environ, 1999, 70: 108-127
    • (1999) Remote Sens Environ , vol.70 , pp. 108-127
    • Running, S.W.1    Baldocchi, D.D.2    Turner, D.P.3
  • 4
    • 0036217047 scopus 로고    scopus 로고
    • Net primary productivity mapped for Canada at 1-km resolution
    • Liu J, Chen J M, Cihlar J, et al. Net primary productivity mapped for Canada at 1-km resolution. Glob Ecol Biogeogr, 2002, 11: 115-129
    • (2002) Glob Ecol Biogeogr , vol.11 , pp. 115-129
    • Liu, J.1    Chen, J.M.2    Cihlar, J.3
  • 5
    • 0000232264 scopus 로고    scopus 로고
    • TURC: A diagnostic model of continental gross primary productivity and net primary productivity
    • Ruimy A, Dedieu G, Saugier B. TURC: A diagnostic model of continental gross primary productivity and net primary productivity. Glob Biogeochem Cycle, 1996, 10: 269-285
    • (1996) Glob Biogeochem Cycle , vol.10 , pp. 269-285
    • Ruimy, A.1    Dedieu, G.2    Saugier, B.3
  • 6
    • 0028976632 scopus 로고
    • Malmström. Global net primary production: Combing ecology and remote sensing
    • Field C B, Randerson J T, Malmström. Global net primary production: Combing ecology and remote sensing. Remote Sens Environ, 1995, 51: 74-88
    • (1995) Remote Sens Environ , vol.51 , pp. 74-88
    • Field, C.B.1    Randerson, J.T.2
  • 8
    • 0033589358 scopus 로고    scopus 로고
    • Satellite remote sensing of primary production: An improved production efficiency modeling approach
    • Goetz S J, Prince S D, Goward S N, et al. Satellite remote sensing of primary production: An improved production efficiency modeling approach. Ecol Model, 1999, 122: 239-255
    • (1999) Ecol Model , vol.122 , pp. 239-255
    • Goetz, S.J.1    Prince, S.D.2    Goward, S.N.3
  • 9
    • 33947331246 scopus 로고    scopus 로고
    • Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data
    • Li Z Q, Yu G R, Xiao X M, et al. Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data. Remote Sens Environ, 2007, 107: 510-519
    • (2007) Remote Sens Environ , vol.107 , pp. 510-519
    • Li, Z.Q.1    Yu, G.R.2    Xiao, X.M.3
  • 10
    • 0018465733 scopus 로고
    • Red and photographic infrared linear combinations for monitoring vegetation
    • Tucker C J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ, 1979, 8: 127-150
    • (1979) Remote Sens Environ , vol.8 , pp. 127-150
    • Tucker, C.J.1
  • 11
    • 0036846393 scopus 로고    scopus 로고
    • Overview of the radiometric and biophysical performance of the MODIS vegetation indices
    • Huete A, Didan K, Miura T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ, 2002, 83: 195-213
    • (2002) Remote Sens Environ , vol.83 , pp. 195-213
    • Huete, A.1    Didan, K.2    Miura, T.3
  • 12
    • 0037355194 scopus 로고    scopus 로고
    • A cross-biome comparison of daily light use efficiency for gross primary production
    • Turner D P, Urbanski S, Bremer D, et al. A cross-biome comparison of daily light use efficiency for gross primary production. Glob Change Biol, 2003, 9: 383-395
    • (2003) Glob Change Biol , vol.9 , pp. 383-395
    • Turner, D.P.1    Urbanski, S.2    Bremer, D.3
  • 13
    • 1242298833 scopus 로고    scopus 로고
    • Satellite-based modeling of gross primary production in an evergreen needle leaf forest
    • Xiao X M, Hollinger D, Aber J D, et al. Satellite-based modeling of gross primary production in an evergreen needle leaf forest. Remote Sens Environ, 2004, 89: 519-534
    • (2004) Remote Sens Environ , vol.89 , pp. 519-534
    • Xiao, X.M.1    Hollinger, D.2    Aber, J.D.3
  • 14
    • 2542615991 scopus 로고    scopus 로고
    • Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data
    • Xiao X M, Zhang Q Y, Braswell B, et al. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ, 2004, 91: 256-270
    • (2004) Remote Sens Environ , vol.91 , pp. 256-270
    • Xiao, X.M.1    Zhang, Q.Y.2    Braswell, B.3
  • 15
    • 20444383537 scopus 로고    scopus 로고
    • Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data
    • Xiao X M, Zhang Q Y, Hollinger D, et al. Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data. Ecol Appl, 2005, 15: 954-969
    • (2005) Ecol Appl , vol.15 , pp. 954-969
    • Xiao, X.M.1    Zhang, Q.Y.2    Hollinger, D.3
  • 16
    • 8844233562 scopus 로고    scopus 로고
    • Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest
    • Xiao X M, Zhang Q Y, Saleska S, et al. Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sens Environ, 2005, 94: 105-122
    • (2005) Remote Sens Environ , vol.94 , pp. 105-122
    • Xiao, X.M.1    Zhang, Q.Y.2    Saleska, S.3
  • 17
    • 33746673140 scopus 로고    scopus 로고
    • Overview of ChinaFLUX and evaluation of its eddy covariance measurement
    • Yu G R, Wen X F, Sun X M, et al. Overview of ChinaFLUX and evaluation of its eddy covariance measurement. Agric For Meteorol, 2006, 137: 125-137
    • (2006) Agric For Meteorol , vol.137 , pp. 125-137
    • Yu, G.R.1    Wen, X.F.2    Sun, X.M.3
  • 18
    • 33746729728 scopus 로고    scopus 로고
    • 2 exchange in semi-arid Leymus chinensis steppe and alpine shrub
    • 2 exchange in semi-arid Leymus chinensis steppe and alpine shrub. Agric For Meteorol, 2006, 137: 234-244
    • (2006) Agric For Meteorol , vol.137 , pp. 234-244
    • Fu, Y.L.1    Yu, G.R.2    Sun, X.M.3
  • 19
    • 0037333517 scopus 로고    scopus 로고
    • Sensitivity of vegetation indices to atmospheric aerosols: Continental-scale observations in Northern Asia
    • Xiao X M, Braswell B, Zhang Q, et al. Sensitivity of vegetation indices to atmospheric aerosols: Continental-scale observations in Northern Asia. Remote Sens Environ, 2003, 84. 385-392
    • (2003) Remote Sens Environ , vol.84 , pp. 385-392
    • Xiao, X.M.1    Braswell, B.2    Zhang, Q.3
  • 20
    • 0036788924 scopus 로고    scopus 로고
    • Characterization of forest types in northeastern China, using multitemporal SPOT-4 VEGETATION sensor data
    • Xiao X M, Boles S, Liu J Y, et al. Characterization of forest types in northeastern China, using multitemporal SPOT-4 VEGETATION sensor data. Remote Sens Environ, 2002, 82: 335-348
    • (2002) Remote Sens Environ , vol.82 , pp. 335-348
    • Xiao, X.M.1    Boles, S.2    Liu, J.Y.3
  • 21
    • 0026293415 scopus 로고
    • Potential net primary productivity in South-America-Application of a global-model
    • Raich J W, Rastetter E B, Melillo J M, et al. Potential net primary productivity in South-America-Application of a global-model. Ecol Appl, 1991, 1: 399-429
    • (1991) Ecol Appl , vol.1 , pp. 399-429
    • Raich, J.W.1    Rastetter, E.B.2    Melillo, J.M.3
  • 23
    • 0029526585 scopus 로고
    • Sensitivity of Inner Mongolia grasslands to climate change
    • Xiao X M, Ojima D S, Parton W J, et al. Sensitivity of Inner Mongolia grasslands to climate change. J Biogeogr, 1995, 22: 643-648
    • (1995) J Biogeogr , vol.22 , pp. 643-648
    • Xiao, X.M.1    Ojima, D.S.2    Parton, W.J.3
  • 25
    • 33845336460 scopus 로고    scopus 로고
    • Comparing simple respiration models for eddy flux and dynamic chamber data
    • doi: 10.1016/j.agrformet.2006.10.010
    • Richardson A D, Braswell B H, Hollinger D Y, et al. Comparing simple respiration models for eddy flux and dynamic chamber data. Agric For Meteorol, 2006, doi: 10.1016/j.agrformet.2006.10.010
    • (2006) Agric For Meteorol
    • Richardson, A.D.1    Braswell, B.H.2    Hollinger, D.Y.3
  • 26
    • 0035283174 scopus 로고    scopus 로고
    • Gap filling strategies for long term energy flux data sets
    • Falge E, Baldocchi D, Olson R, et al. Gap filling strategies for long term energy flux data sets. Agric For Meteorol, 2001, 107: 71-77
    • (2001) Agric For Meteorol , vol.107 , pp. 71-77
    • Falge, E.1    Baldocchi, D.2    Olson, R.3
  • 27
    • 0031225091 scopus 로고    scopus 로고
    • Estimation of plant water concentration by the reflectance water index WI (R900/R970)
    • Penuelas J, Pinol J, Ogaya R, et al. Estimation of plant water concentration by the reflectance water index WI (R900/R970). Int J Remote Sens, 1997, 18: 2869-2875
    • (1997) Int J Remote Sens , vol.18 , pp. 2869-2875
    • Penuelas, J.1    Pinol, J.2    Ogaya, R.3
  • 28
    • 0037379823 scopus 로고    scopus 로고
    • Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid water and chlorophyll absorption features
    • Sims D A, Gamon J A. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid water and chlorophyll absorption features. Remote Sens Environ, 2003, 84: 526-537
    • (2003) Remote Sens Environ , vol.84 , pp. 526-537
    • Sims, D.A.1    Gamon, J.A.2
  • 29
    • 1242301370 scopus 로고    scopus 로고
    • Validation of a hyperspectral curve-fitting model for estimation of plant water content of agricultural canopies
    • Champagne C M, Staenz K, Bannari A, et al. Validation of a hyperspectral curve-fitting model for estimation of plant water content of agricultural canopies. Remote Sens Environ, 2003, 87: 148-160
    • (2003) Remote Sens Environ , vol.87 , pp. 148-160
    • Champagne, C.M.1    Staenz, K.2    Bannari, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.