Measuring and modelling biodiversity from space

By Thomas W. Gillespie, Giles M. Foody, Duccio Rocchini, A. Giorgi, Sassan S. Saatchi. 2008

383 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/e95fff8b8d83abf46d4d8dacb978c97f748c835b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

In Ecology

In Environmental Engineering

Citations in the corpus

Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges (2010, background): “The increased cost of such imagery also puts it out of the reach of many ecologists (Gillespie et al., 2008) especially those located in developing countries where the need is greatest (Nagendra and Rocchini, 2008).”
Species distribution modelling for the people: unclassified landsat TM imagery predicts bird occurrence at fine resolutions (2013, methodology): “Most studies that have used reflectance data have used derived vegetation indices (Baret & Guyot, 1991), NDVI (Gottschalk et al., 2005; Gillespie et al., 2008) or have been focused on a single species.”
Linking earth observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives (2016, background): “…remendous potential for providing large-scale, long-term, stanardized, spatially complete, continuous as well as economically easible information that is urgently needed for the detecting, uantifying, assessment and forecasting of global BD (Belward Gillespie et al., 2008; Asner and Martin, 2008).”
Potential of remote sensing to predict species invasions (2015, methodology): “Remote sensing data have been used as ancillary spatial variables to improve species distribution models both spatially and temporally (e.g. Andrew and Ustin, 2009; Bradley and Fleishman, 2008; Gillespie et al., 2008; Saatchi et al., 2008).”
Accounting for uncertainty when mapping species distributions: The need for maps of ignorance (2011, background): “Therefore, creating maps of where each species occurs is an essential goal of biogeography (Gillespie et al., 2008; Rushton et al., 2004).”
Satellite remote sensing for applied ecologists: opportunities and challenges (2014, background): “…sensing (SRS) has shown increased utility for informing the state of, and pressures on, biodiversity at landscape, regional, ecosystem, continental and global spatial scales (Roughgarden, Running & Matson 1991; Turner et al. 2003; Duro et al. 2007; Gillespie et al. 2008; Horning et al. 2010).”
Benefits of hyperspectral remote sensing for tracking plant invasions (2011, background): “As a result, maps generated by hyperspectral data are much more comprehensive than field surveys (Gillespie et al., 2008).”
Multiscale performance of landscape metrics as indicators of species richness of plants, insects and vertebrates (2013, background): “on a limited set of ground truth data and provide natural resources managers around the world with real-time data to support conservation efforts (Gaston, 2000; Gillespie et al., 2008).”