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Modeling Species Distribution Using Niche-Based Proxies Derived from Composite Bioclimatic Variables and MODIS NDVI., , and . Remote Sensing, 4 (7): 2057-2075 (2012)Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward, , , , , , , , , and 18 other author(s). Remote Sensing in Ecology and Conservation, (2017)Uncertainty in ecosystem mapping by remote sensing., , , , , , , , , and 4 other author(s). Comput. Geosci., (2013)Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study, , , , , , , , , and 10 other author(s). Ecological Indicators, (2018)Advancing species diversity estimate by remotely sensed proxies: A conceptual review., , and . Ecol. Informatics, (2015)Important characteristics of multispectral data for an assessment of floristic variation., , , , , and . IGARSS, page 36-39. IEEE, (2012)Will remote sensing shape the next generation of species distribution models?, , , , , , , , and . Remote Sensing in Ecology and Conservation, 1 (1): 4-18 (2015)Assessing floristic composition with multispectral sensors - A comparison based on monotemporal and multiseasonal field spectra., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Testing the correlation between beta diversity and differences in productivity among global ecoregions, biomes, and biogeographical realms., and . Ecol. Informatics, 4 (2): 93-98 (2009)LEEASP: A Linked Environment of Coordinated Multiple Views for Exploratory Analysis of Large-Scale Species Distribution Data, , and . (2008)org / BibtexHandler? requTask = upload & selection =.