443
References
Anderson-Teixeira KJ et al (2014) CTFS-ForestGEO: a worldwide network monitoring forests in
an era of global change. Glob Chang Biol 21(2):528–549
Asner GP, Martin RE (2009) Airborne spectranomics: mapping canopy chemical and taxonomic
diversity in tropical forests. Front Ecol Environ 7:269–276. https://doi.org/10.1890/070152
Asner GP et al (2012) Carnegie Airborne Observatory-2: increasing science data dimensionality via high-fidelity multi-sensor fusion. Remote Sens Environ 124:454–465. https://doi.
org/10.1016/j.rse.2012.06.012
Asner GP, Martin RE, Anderson CB, Knapp DE (2015) Quantifying forest canopy traits: imaging
spectroscopy versus field survey. Remote Sens Environ 158:15–27. https://doi.org/10.1016/j.
rse.2014.11.011
Baldeck CA, Colgan MS, Feret JB, Levicx SR, Martin RE, Asner GP (2014) Landscape-scale
variation in plant community composition of an African savanna from airborne species mapping. Ecol Appl 24:84–93. https://doi.org/10.1890/13-0307.1
Barnosky AD et al (2011) Has the Earth’s sixth mass extinction already arrived? Nature 471:51–
57. https://doi.org/10.1038/nature09678
Bonar S, Fehmi J, Mercado-Silva N (2011) An overview of sampling issues in species diversity
and abundance surveys. In: Magurran AE, McGill BJ (eds) Biological diversity: Frontiers in
measurement and assessment. Oxford University Press, Oxford, England, p 376
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
spatial scales. Am J Bot 104:966–969. https://doi.org/10.3732/ajb.1700061
Chadwick KD, Asner GP (2016) Organismic-scale remote sensing of canopy foliar traits in lowland tropical forests. Remote Sens 8. https://doi.org/10.3390/rs8020087
Chavana-Bryant C et al (2017) Leaf aging of Amazonian canopy trees as revealed by spectral
and physiochemical measurements. New Phytol 214:1049–1063. https://doi.org/10.1111/
nph.13853
Cohen WB, Justice CO (1999) Validating MODIS terrestrial ecology products: linking in
situ and satellite measurements. Remote Sens Environ 70:1–3. https://doi.org/10.1016/
s0034-4257(99)00053-x
Curran PJ (1988) The semivariogram in remote sensing: an introduction. Remote Sens Environ
24:493–507. https://doi.org/10.1016/0034-4257(88)90021-1
Dahlin KM (2016) Spectral diversity area relationships for assessing biodiversity in a wildlandagriculture matrix. Ecol Appl 26:2756–2766. https://doi.org/10.1002/eap.1390
DeLancey E (2014) Hyperspectal remote sensing of boreal forest tress diversity at multiple scales.
Master’s Thesis, University of Alberta
DeWoody J, Rowe CA, Hipkins VD, Mock KE (2008) “Pando” lives: molecular genetic evidence of a giant aspen clone in Central Utah. West N Am Nat 68:493–497. https://doi.
org/10.3398/1527-0904-68.4.493
Ehleringer JR, Field CB (1993) Scaling physiological processes: leaf to globe, 1st edn. Academic
Press, New York
Fairbanks DHK, McGwire KC (2004) Patterns of floristic richness in vegetation communities of
California: regional scale analysis with multi-temporal NDVI. Glob Ecol Biogeogr 13:221–
235. https://doi.org/10.1111/j.1466-822X.2004.00092.x
Fava F, Parolo G, Colombo R, Gusmeroli F, Della Marianna G, Monteiro AT, Bocchi S (2010)
Fine-scale assessment of hay meadow productivity and plant diversity in the European Alps
using field spectrometric data. Agric Ecosyst Environ 137:151–157. https://doi.org/10.1016/j.
agee.2010.01.016
Féret JB, Asner GP (2014) Mapping tropical forest canopy diversity using high-fidelity imaging
spectroscopy. Ecol Appl 24:1289–1296
16 Consideration of Scale in Remote Sensing of Biodiversity
References
Anderson-Teixeira KJ et al (2014) CTFS-ForestGEO: a worldwide network monitoring forests in
an era of global change. Glob Chang Biol 21(2):528–549
Asner GP, Martin RE (2009) Airborne spectranomics: mapping canopy chemical and taxonomic
diversity in tropical forests. Front Ecol Environ 7:269–276. https://doi.org/10.1890/070152
Asner GP et al (2012) Carnegie Airborne Observatory-2: increasing science data dimensionality via high-fidelity multi-sensor fusion. Remote Sens Environ 124:454–465. https://doi.
org/10.1016/j.rse.2012.06.012
Asner GP, Martin RE, Anderson CB, Knapp DE (2015) Quantifying forest canopy traits: imaging
spectroscopy versus field survey. Remote Sens Environ 158:15–27. https://doi.org/10.1016/j.
rse.2014.11.011
Baldeck CA, Colgan MS, Feret JB, Levicx SR, Martin RE, Asner GP (2014) Landscape-scale
variation in plant community composition of an African savanna from airborne species mapping. Ecol Appl 24:84–93. https://doi.org/10.1890/13-0307.1
Barnosky AD et al (2011) Has the Earth’s sixth mass extinction already arrived? Nature 471:51–
57. https://doi.org/10.1038/nature09678
Bonar S, Fehmi J, Mercado-Silva N (2011) An overview of sampling issues in species diversity
and abundance surveys. In: Magurran AE, McGill BJ (eds) Biological diversity: Frontiers in
measurement and assessment. Oxford University Press, Oxford, England, p 376
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
spatial scales. Am J Bot 104:966–969. https://doi.org/10.3732/ajb.1700061
Chadwick KD, Asner GP (2016) Organismic-scale remote sensing of canopy foliar traits in lowland tropical forests. Remote Sens 8. https://doi.org/10.3390/rs8020087
Chavana-Bryant C et al (2017) Leaf aging of Amazonian canopy trees as revealed by spectral
and physiochemical measurements. New Phytol 214:1049–1063. https://doi.org/10.1111/
nph.13853
Cohen WB, Justice CO (1999) Validating MODIS terrestrial ecology products: linking in
situ and satellite measurements. Remote Sens Environ 70:1–3. https://doi.org/10.1016/
s0034-4257(99)00053-x
Curran PJ (1988) The semivariogram in remote sensing: an introduction. Remote Sens Environ
24:493–507. https://doi.org/10.1016/0034-4257(88)90021-1
Dahlin KM (2016) Spectral diversity area relationships for assessing biodiversity in a wildlandagriculture matrix. Ecol Appl 26:2756–2766. https://doi.org/10.1002/eap.1390
DeLancey E (2014) Hyperspectal remote sensing of boreal forest tress diversity at multiple scales.
Master’s Thesis, University of Alberta
DeWoody J, Rowe CA, Hipkins VD, Mock KE (2008) “Pando” lives: molecular genetic evidence of a giant aspen clone in Central Utah. West N Am Nat 68:493–497. https://doi.
org/10.3398/1527-0904-68.4.493
Ehleringer JR, Field CB (1993) Scaling physiological processes: leaf to globe, 1st edn. Academic
Press, New York
Fairbanks DHK, McGwire KC (2004) Patterns of floristic richness in vegetation communities of
California: regional scale analysis with multi-temporal NDVI. Glob Ecol Biogeogr 13:221–
235. https://doi.org/10.1111/j.1466-822X.2004.00092.x
Fava F, Parolo G, Colombo R, Gusmeroli F, Della Marianna G, Monteiro AT, Bocchi S (2010)
Fine-scale assessment of hay meadow productivity and plant diversity in the European Alps
using field spectrometric data. Agric Ecosyst Environ 137:151–157. https://doi.org/10.1016/j.
agee.2010.01.016
Féret JB, Asner GP (2014) Mapping tropical forest canopy diversity using high-fidelity imaging
spectroscopy. Ecol Appl 24:1289–1296
16 Consideration of Scale in Remote Sensing of Biodiversity