Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method
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Derek Karssenberg | Scott V. Ollinger | Yasmina Loozen | Karin T. Rebel | Meng Lu | S. Ollinger | K. Rebel | D. Karssenberg | S. D. de Jong | Steven M. de Jong | Martin J. Wassen | Meng Lu | M.J.infoeu-repo Wassen | Y. Loozen
[1] Markus Reichstein,et al. A methodology to derive global maps of leaf traits using remote sensing and climate data , 2018, Remote Sensing of Environment.
[2] J. Peñuelas,et al. Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index , 2018 .
[3] Onisimo Mutanga,et al. Mapping spatial variability of foliar nitrogen in coffee (Coffea arabica L.) plantations with multispectral Sentinel-2 MSI data , 2018 .
[4] Onisimo Mutanga,et al. Evaluating the Applications of the Near-Infrared Region in Mapping Foliar N in the Miombo Woodlands , 2018, Remote. Sens..
[5] Stephen E. Fick,et al. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas , 2017 .
[6] Marvin N. Wright,et al. SoilGrids250m: Global gridded soil information based on machine learning , 2017, PloS one.
[7] Marco Heurich,et al. Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest , 2016, Remote. Sens..
[8] J. Peñuelas,et al. Foliar and soil concentrations and stoichiometry of nitrogen and phosphorous across European Pinus sylvestris forests: relationships with climate, N deposition and tree growth , 2016 .
[9] J. Peñuelas,et al. Factors influencing the foliar elemental composition and stoichiometry in forest trees in Spain , 2016 .
[10] S. Ollinger,et al. Examining spectral reflectance features related to foliar nitrogen in forests: Implications for broad-scale nitrogen mapping , 2016 .
[11] Ruben Van De Kerchove,et al. Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[12] Thomas C. Edwards,et al. Machine learning for predicting soil classes in three semi-arid landscapes , 2015 .
[13] J. Peñuelas,et al. Foliar elemental composition of European forest tree species associated with evolutionary traits and present environmental and competitive conditions , 2015 .
[14] Onisimo Mutanga,et al. Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using WorldView-2 image as an independent test dataset , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[15] Rhett L. Mohler,et al. Estimating Canopy Nitrogen Content in a Heterogeneous Grassland with Varying Fire and Grazing Treatments: Konza Prairie, Kansas, USA , 2014, Remote. Sens..
[16] Onisimo Mutanga,et al. Estimation of Canopy Nitrogen Concentration Across C3 and C4 Grasslands Using WorldView-2 Multispectral Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[17] Susan L. Ustin,et al. Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices , 2014 .
[18] Anatoly A. Gitelson,et al. Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[19] M. Schaepman,et al. Review of optical-based remote sensing for plant trait mapping , 2013 .
[20] Béatrice Josse,et al. Multi-model mean nitrogen and sulfur deposition from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): evaluation of historical and projected future changes , 2013 .
[21] Jan G. P. W. Clevers,et al. Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3 , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[22] M. Cho,et al. Assessing the effects of subtropical forest fragmentation on leaf nitrogen distribution using remote sensing data , 2013, Landscape Ecology.
[23] Andrew K. Skidmore,et al. Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[24] J. Lamarque,et al. The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics , 2012 .
[25] D. Gianelle,et al. The contribution of nitrogen deposition to the photosynthetic capacity of forests , 2012 .
[26] Peter B Reich,et al. Key canopy traits drive forest productivity , 2012, Proceedings of the Royal Society B: Biological Sciences.
[27] J. Stoddard,et al. Do Nutrient Limitation Patterns Shift from Nitrogen Toward Phosphorus with Increasing Nitrogen Deposition Across the Northeastern United States? , 2012, Ecosystems.
[28] Weixing Cao,et al. Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat , 2012 .
[29] Charles T. Driscoll,et al. Foliar Nitrogen Responses to the Environmental Gradient Matrix of the Adirondack Park, New York , 2012 .
[30] J. Peñuelas,et al. Factors affecting nutrient concentration and stoichiometry of forest trees in Catalonia (NE Spain) , 2011 .
[31] S. Higgins,et al. TRY – a global database of plant traits , 2011, Global Change Biology.
[32] P. Reich,et al. Biogeography and variability of eleven mineral elements in plant leaves across gradients of climate, soil and plant functional type in China. , 2011, Ecology letters.
[33] X. Yao,et al. Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance , 2011 .
[34] D. Haboudane,et al. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat , 2010 .
[35] R. Kokaly,et al. Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies , 2009 .
[36] S. Frolking,et al. Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks , 2008, Proceedings of the National Academy of Sciences.
[37] A. Arneth,et al. Nitrogen controls plant canopy light-use efficiency in temperate and boreal ecosystems , 2008 .
[38] S. Ollinger,et al. A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems , 2008 .
[39] I. Prentice,et al. Terrestrial nitrogen cycle simulation with a dynamic global vegetation model , 2008 .
[40] Charles T Driscoll,et al. Foliar nitrogen responses to elevated atmospheric nitrogen deposition in nine temperate forest canopy species. , 2007, Environmental science & technology.
[41] R. Crabtree,et al. Hyperspectral One-Meter-Resolution Remote Sensing in Yellowstone National Park, Wyoming: I. Forage Nutritional Values , 2005 .
[42] P. Reich,et al. Assessing the generality of global leaf trait relationships. , 2005, The New phytologist.
[43] J. Dash,et al. The MERIS terrestrial chlorophyll index , 2004 .
[44] K. Hikosaka. Interspecific difference in the photosynthesis–nitrogen relationship: patterns, physiological causes, and ecological importance , 2004, Journal of Plant Research.
[45] P. Reich,et al. Global patterns of plant leaf N and P in relation to temperature and latitude. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[46] Sean C. Thomas,et al. The worldwide leaf economics spectrum , 2004, Nature.
[47] A. Skidmore,et al. Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features , 2004 .
[48] J. Schjoerring,et al. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression , 2003 .
[49] J. Peñuelas,et al. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals , 2002 .
[50] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[51] P. Reich,et al. Generality of leaf trait relationships: a test across six biomes: Ecology , 1999 .
[52] D. Horler,et al. The red edge of plant leaf reflectance , 1983 .
[53] G. Chow. Tests of equality between sets of coefficients in two linear regressions (econometrics voi 28 , 1960 .
[54] Zeng De-hui. Diagnosis methods of N and P limitation to tree growth:A review , 2009 .
[55] J. R. Evans. Photosynthesis and nitrogen relationships in leaves of C3 plants , 2004, Oecologia.
[56] Lalit Kumar,et al. Imaging Spectrometry and Vegetation Science , 2001 .