419
Dimensions of Biodiversity grant “Linking remotely sensed optical diversity to genetic, phylogenetic and functional diversity to predict ecosystem processes” (DEB-1342872) to Jeannine
Cavender-Bares.
References
Anderson TM, Hopcraft JGC, Stephanie E, Ritchie M, Grace JB, Olff H (2010) Landscape-scale
analyses suggest both nutrient and antipredator advantages to serengeti herbivore hotspots.
Ecology 91:1519–1529
Atkinson PM (1999) Spatial statistics. In: Stein A, Van Der Meer F, Gorte B (eds) Spatial statistics
for remote sensing. Kluwer Academic Publishers, Dortrecht
Baddeley A, Turner R (2005) Spatstat: an r package for analyzing spatial point patterns. J Stat
Softw 12:1–42
Bartholomé E, Belward AS (2005) Glc2000: a new approach to global land cover mapping from
earth observation data. Int J Remote Sens 26:1959–1977
Berk A, Bernstein LS, Robertson DC (1987) Modtran: a moderate resolution model for lowtran.
Spectral Sciences Inc, Burlington
Beyer HL (2010) Geospatial modelling environ
Bicheron P, Huc M, Henry C, Bontemps S, Lacaux J (2008) Globcover products description manual. European Space Agency, Paris
Bonham CD (2013) Measurements for terrestrial vegetation. Wiley, Hoboken
Bonn A, Storch D, Gaston KJ (2004) Structure of the species–energy relationship. Proc R Soc
Lond Ser B Biol Sci 271:1685–1691
Broge NH, Leblanc E (2001) Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sens Environ 76:156–172
Brown JH (1981) Two decades of homage to Santa Rosalia: toward a general theory of diversity.
Am Zool 21:877–888
Brus DJ, Degruijter JJ (1993) Design-based versus model-based estimates of spatial means: theory
and application in environmental soil science. Environmetrics 4:123–152
Cavender-Bares J, Gamon JA, Hobbie SE, Madritch MD, Meireles JE, Schweiger AK, Townsend
PA (2017) Harnessing plant spectra to integrate the biodiversity sciences across biological and
1391 spatial scales. Am J Bot 104:966–969
Chollet F, Allaire JJ (2018) Deep learning with R, 1st edn. Manning Publications, Shelter Island,
New York
Chun Y, Griffith DA (2013) Spatial statistics and geostatistics: theory and applications for geo1393 graphic information science and technology. Sage Publications, London
Clark M, Roberts D, Clark D (2005) Hyperspectral discrimination of tropical rain forest tree spe1395 cies at leaf to crown scales. Remote Sens Environ 96(3–4):375–398
Claw KG, Anderson MZ, Begay RL, Tsosie KS, Fox K, Garrison NA (2018) A framework for
enhancing ethical genomic research with indigenous communities. Nat Commun 9(1):2957
Combal B, Baret F, Weiss M, Trubuil A, Mace D, Pragnere A, Myneni R, Knyazikhin Y, Wang L
(2003) Retrieval of canopy biophysical variables from bidirectional reflectance: using prior
information to solve the ill-posed inverse problem. Remote Sens Environ 84:1–15
Congalton RG, Green K (1999) Assessing the accuracy of remotely sensed data: principles and
1402 applications. Lewis Publishers, Boca Raton
Congalton RG, Gu J, Yadav K, Thenkabail P, Ozdogan M (2014) Global land cover mapping: a
review and uncertainty analysis. Remote Sens 6:12070–12093
Cook RB, Wei Y, Hook LA, Vannan SK, Mcnelis JJ (2018) Preserve: protecting data for long-term
use. In: Ecological informatics. Springer, Berlin, Heidelberg
15 Spectral Field Campaigns: Planning and Data Collection
Dimensions of Biodiversity grant “Linking remotely sensed optical diversity to genetic, phylogenetic and functional diversity to predict ecosystem processes” (DEB-1342872) to Jeannine
Cavender-Bares.
References
Anderson TM, Hopcraft JGC, Stephanie E, Ritchie M, Grace JB, Olff H (2010) Landscape-scale
analyses suggest both nutrient and antipredator advantages to serengeti herbivore hotspots.
Ecology 91:1519–1529
Atkinson PM (1999) Spatial statistics. In: Stein A, Van Der Meer F, Gorte B (eds) Spatial statistics
for remote sensing. Kluwer Academic Publishers, Dortrecht
Baddeley A, Turner R (2005) Spatstat: an r package for analyzing spatial point patterns. J Stat
Softw 12:1–42
Bartholomé E, Belward AS (2005) Glc2000: a new approach to global land cover mapping from
earth observation data. Int J Remote Sens 26:1959–1977
Berk A, Bernstein LS, Robertson DC (1987) Modtran: a moderate resolution model for lowtran.
Spectral Sciences Inc, Burlington
Beyer HL (2010) Geospatial modelling environ
Bicheron P, Huc M, Henry C, Bontemps S, Lacaux J (2008) Globcover products description manual. European Space Agency, Paris
Bonham CD (2013) Measurements for terrestrial vegetation. Wiley, Hoboken
Bonn A, Storch D, Gaston KJ (2004) Structure of the species–energy relationship. Proc R Soc
Lond Ser B Biol Sci 271:1685–1691
Broge NH, Leblanc E (2001) Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sens Environ 76:156–172
Brown JH (1981) Two decades of homage to Santa Rosalia: toward a general theory of diversity.
Am Zool 21:877–888
Brus DJ, Degruijter JJ (1993) Design-based versus model-based estimates of spatial means: theory
and application in environmental soil science. Environmetrics 4:123–152
Cavender-Bares J, Gamon JA, Hobbie SE, Madritch MD, Meireles JE, Schweiger AK, Townsend
PA (2017) Harnessing plant spectra to integrate the biodiversity sciences across biological and
1391 spatial scales. Am J Bot 104:966–969
Chollet F, Allaire JJ (2018) Deep learning with R, 1st edn. Manning Publications, Shelter Island,
New York
Chun Y, Griffith DA (2013) Spatial statistics and geostatistics: theory and applications for geo1393 graphic information science and technology. Sage Publications, London
Clark M, Roberts D, Clark D (2005) Hyperspectral discrimination of tropical rain forest tree spe1395 cies at leaf to crown scales. Remote Sens Environ 96(3–4):375–398
Claw KG, Anderson MZ, Begay RL, Tsosie KS, Fox K, Garrison NA (2018) A framework for
enhancing ethical genomic research with indigenous communities. Nat Commun 9(1):2957
Combal B, Baret F, Weiss M, Trubuil A, Mace D, Pragnere A, Myneni R, Knyazikhin Y, Wang L
(2003) Retrieval of canopy biophysical variables from bidirectional reflectance: using prior
information to solve the ill-posed inverse problem. Remote Sens Environ 84:1–15
Congalton RG, Green K (1999) Assessing the accuracy of remotely sensed data: principles and
1402 applications. Lewis Publishers, Boca Raton
Congalton RG, Gu J, Yadav K, Thenkabail P, Ozdogan M (2014) Global land cover mapping: a
review and uncertainty analysis. Remote Sens 6:12070–12093
Cook RB, Wei Y, Hook LA, Vannan SK, Mcnelis JJ (2018) Preserve: protecting data for long-term
use. In: Ecological informatics. Springer, Berlin, Heidelberg
15 Spectral Field Campaigns: Planning and Data Collection