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Original Articles

The role of C3 and C4 grasses to interannual variability in remotely sensed ecosystem performance over the US Great Plains

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Pages 4421-4431 | Received 30 Nov 2001, Accepted 29 Aug 2002, Published online: 12 Jul 2010

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Read on this site (4)

C Adjorlolo, O Mutanga, MA Cho & R Ismail. (2012) Challenges and opportunities in the use of remote sensing for C3 and C4 grass species discrimination and mapping. African Journal of Range & Forage Science 29:2, pages 47-61.
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F. Manes, C. Ricotta, E. Salvatori, S. Bajocco & C. Blasi. (2010) A multiscale analysis of canopy structure in Fagus sylvatica L. and Quercus cerris L. old‐growth forests in the Cilento and Vallo di Diano National Park. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology 144:1, pages 202-210.
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Articles from other publishers (12)

Rajen Bajgain, Xiangming Xiao, Jeffrey Basara, Russell Doughty, Xiaocui Wu, Pradeep Wagle, Yuting Zhou, Prasanna Gowda & Jean Steiner. (2020) Differential responses of native and managed prairie pastures to environmental variability and management practices. Agricultural and Forest Meteorology 294, pages 108137.
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Sophie Reinermann, Sarah Asam & Claudia Kuenzer. (2020) Remote Sensing of Grassland Production and Management—A Review. Remote Sensing 12:12, pages 1949.
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Cletah Shoko, Onisimo Mutanga & Timothy Dube. (2019) Remotely sensed C3 and C4 grass species aboveground biomass variability in response to seasonal climate and topography. African Journal of Ecology 57:4, pages 477-489.
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Cletah Shoko, Onisimo Mutanga & Timothy Dube. (2016) Progress in the remote sensing of C3 and C4 grass species aboveground biomass over time and space. ISPRS Journal of Photogrammetry and Remote Sensing 120, pages 13-24.
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Yunbo Bi & Hongjie Xie. (2015) C3 Vegetation Mapping and CO2 Fertilization Effect in the Arid Lower Heihe River Basin, Northwestern China. Remote Sensing 7:12, pages 16384-16397.
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Xiaolong Liu, Yanchen Bo, Jian Zhang & Yaqian He. (2015) Classification of C3 and C4 Vegetation Types Using MODIS and ETM+ Blended High Spatio-Temporal Resolution Data. Remote Sensing 7:11, pages 15244-15268.
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William S. McInnes, Brent Smith & Gregory J. McDermid. (2015) Discriminating Native and Nonnative Grasses in the Dry Mixedgrass Prairie With MODIS NDVI Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:4, pages 1395-1403.
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Cuizhen Wang, E. Raymond HuntJr.Jr., Li Zhang & Huadong Guo. (2013) Phenology-assisted classification of C3 and C4 grasses in the U.S. Great Plains and their climate dependency with MODIS time series. Remote Sensing of Environment 138, pages 90-101.
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Matthew Rigge, Alexander Smart, Bruce Wylie, Tagir Gilmanov & Patricia Johnson. (2013) Linking Phenology and Biomass Productivity in South Dakota Mixed-Grass Prairie. Rangeland Ecology & Management 66:5, pages 579-587.
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Joseph M. Piwowar. (2011) An Environmental Normal of Vegetation Vigour for the Northern Great Plains. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4:2, pages 292-302.
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Giles M. Foody & Jadunandan Dash. (2007) Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA. Ecological Informatics 2:2, pages 89-93.
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Stephen H Boles, Xiangming Xiao, Jiyuan Liu, Qingyuan Zhang, Sharav Munkhtuya, Siqing Chen & Dennis Ojima. (2004) Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data. Remote Sensing of Environment 90:4, pages 477-489.
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