Spectranomics: Emerging science and conservation opportunities at the interface of biodiversity and remote sensing

Global Ecology and Conservation

Volumn 8, Issue , 2016, Pages 212-219

  Asner, Gregory P ^a   Martin, Roberta E ^a  

^a GEOPHYSICAL LABORATORY   (United States)

Author keywords

Biogeography; Conservation mapping; Functional traits; Imaging spectroscopy; Phylogeny; Plant traits; Remote sensing

Indexed keywords

EID: 84990966351     PISSN: None     EISSN: 23519894     Source Type: Journal    
DOI: 10.1016/j.gecco.2016.09.010     Document Type: Review

References (48)

1. Asner, G.P., Anderson, C.B., Martin, R.E., Tupayachi, R., Knapp, D.E., Sinca, F., Landscape biogeochemistry reflected in shifting distributions of chemical traits in the Amazon forest canopy. Nat. Geosci. 8 (2015), 567–573.
2. Asner, G.P., Knapp, D.E., Anderson, C.B., Martin, R.E., Vaughn, N., Large-scale climatic and geophysical controls on the leaf economics spectrum. Proc. Natl. Acad. Sci., 2016, 201604863.
3. Asner, G.P., Knapp, D.E., Boardman, J., Green, R.O., Kennedy-Bowdoin, T., Eastwood, M., Martin, R.E., Anderson, C., Field, C.B., Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion. Remote Sens. Environ. 124 (2012), 454–465.
4. Asner, G.P., Martin, R.E., Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels. Remote Sens. Environ. 112 (2008), 3958–3970.
5. Asner, G.P., Martin, R.E., Airborne spectranomics: Mapping canopy chemical and taxonomic diversity in tropical forests. Front. Ecol. Environ. 7 (2009), 269–276.
6. Asner, G.P., Martin, R.E., Contrasting leaf chemical traits in tropical lianas and trees: implications for future forest composition. Ecol. Lett. 15 (2012), 1001–1007.
7. Asner, G.P., Martin, R.E., Convergent elevation trends in canopy chemical traits of tropical forests. Global Change Biol. 22 (2016), 2216–2227.
8. Asner, G.P., Martin, R.E., Anderson, C.B., Knapp, D.E., Quantifying forest canopy traits: Imaging spectroscopy versus field survey. Remote Sens. Environ. 158 (2015), 15–27.
9. Asner, G.P., Martin, R.E., Carranza-Jiménez, L., Sinca, F., Tupayachi, R., Anderson, C.B., Martinez, P., Functional and biological diversity of foliar spectra in tree canopies throughout the Andes to Amazon region. New Phytol. 204 (2014), 127–139.
10. Asner, G.P., Martin, R.E., Knapp, D.E., Tupayachi, R., Anderson, C., Carranza, L., Martinez, P., Houcheime, M., Sinca, F., Weiss, P., Spectroscopy of canopy chemicals in humid tropical forests. Remote Sens. Environ. 115 (2011), 3587–3598.
11. Asner, G.P., Martin, R.E., Tupayachi, R., Anderson, C.B., Sinca, F., Carranza-Jimenez, L., Martinez, P., Amazonian functional diversity from forest canopy chemical assembly. Proc. Natl. Acad. Sci. 111 (2014), 5604–5609.
12. Baldeck, C.A., Asner, G.P., Martin, R.E., Anderson, C.B., Knapp, D.E., Kellner, J.R., Wright, S.J., Operational tree species mapping in a diverse tropical forest with airborne imaging spectroscopy. PLoS One, 10, 2015, e0118403.
13. Baldeck, C.A., Colgan, M.S., Féret, J.B., Levick, S.R., Martin, R.E., Asner, G.P., Landscape-scale variation in plant community composition of an African savanna from airborne species mapping. Ecol. Appl. 24 (2014), 84–93.
14. Balzotti, C.S., Asner, G.P., Taylor, P.G., Cole, R., Osborne, B.B., Cleveland, C.C., Porder, S., Townsend, A.R., Topographic distributions of emergent trees in tropical forests of the Osa Peninsula, Costa Rica. Ecography, 2016.
15. Bohlman, S.A., Species diversity of canopy versus understory trees in a neotropical forest: Implications for forest structure, function and monitoring. Ecosystems 18 (2015), 658–670.
16. Chadwick, K.D., Asner, G.P., Organismic-scale remote sensing of canopy foliar traits in lowland tropical forests. Remote Sens., 8, 2016, 87.
17. Chadwick, K.D., Asner, G.P., Organismic-scale remote sensing of canopy foliar traits in lowland tropical forests. Remote Sens., 8, 2016, 87.
18. Colgan, M.S., Baldeck, C.A., Féret, J.-B., Asner, G.P., Mapping savanna tree species at ecosystem scales using support vector machine classification and BRDF correction on airborne hyperspectral and LiDAR data. Remote Sens. 4 (2012), 3462–3480.
19. Curran, P.J., Remote sensing of foliar chemistry. Remote Sens. Environ. 30 (1989), 271–278.
20. Díaz, S., Cabido, M., Casanoves, F., Plant functional traits and environmental filters at a regional scale. J. Veg. Sci. 9 (1998), 113–122.
21. Feilhauer, H., Asner, G.P., Martin, R.E., Multi-method ensemble selection of spectral bands related to leaf biochemistry. Remote Sens. Environ. 164 (2015), 57–65.
22. Feilhauer, H., Asner, G.P., Martin, R.E., Schmidtlein, S., Brightness-normalized partial least squares regression for hyperspectral data. J. Quant. Spectrosc. Radiat. Transfer 111 (2010), 1947–1957.
23. Féret, J.B., Asner, G.P., Tree species discrimination in tropical forests using airborne imaging spectroscopy. IEEE Trans. Geosci. Remote Sens. 51 (2013), 73–84.
24. Féret, J.-B., Asner, G.P., Mapping tropical forest canopy diversity using high-fidelity imaging spectroscopy. Ecol. Appl. 24 (2014), 1289–1296.
25. Féret, J.-B., François, C., Gitelson, A., Asner, G.P., Barry, K.M., Panigada, C., Richardson, A.D., Jacquemoud, S., Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling. Remote Sens. Environ. 115 (2011), 2742–2750.
26. Graves, S.J., Asner, G.P., Martin, R.E., Anderson, C.B., Colgan, M.S., Kalantari, L., Bohlman, S.A., Tree species abundance predictions in a tropical agricultural landscape with a supervised classification model and imbalanced data. Remote Sens., 8, 2016, 161.
27. Higgins, M.A., Asner, G.P., Martin, R.E., Knapp, D.E., Anderson, C., Kennedy-Bowdoin, T., Saenz, R., Aguilar, A., Joseph Wright, S., Linking imaging spectroscopy and LiDAR with floristic composition and forest structure in Panama. Remote Sens. Environ. 154 (2014), 358–367.
28. Hubbell, S.P., He, F., Condit, R., Borda-de água, L., Kellner, J., ter Steege, H., How many tree species are there in the Amazon and how many of them will go extinct?. Proc. Natl. Acad. Sci. 105 (2008), 11498–11504.
29. Jacquemoud, S., Verhoef, W., Baret, F., Bacour, C., Zarco-Tejada, P.J., Asner, G.P., Francois, C., Ustin, S.L., PROSPECT plus SAIL models: A review of use for vegetation characterization. Remote Sens. Environ. 113 (2009), S56–S66.
30. Jetz, W., Cavender-Bares, J., Pavlick, R., Schimel, D., Davis, F.W., Asner, G.P., Guralnick, R., Kattge, J., Latimer, A.M., Moorcroft, P., Monitoring plant functional diversity from space. Nature Plants, 2, 2016.
31. Kampe, T.U., Asner, G.P., Green, R.O., Eastwood, M., Johnson, B.R., Kuester, M., Advances in airborne remote sensing of ecosystem processes and properties - toward high-quality measurement on a global scale. Gao, W., Jackson, T.J., Wang, J., (eds.) Remote Sensing and Modeling of Ecosystems for Sustainability VII, 2010, SPIE, 7809J–7801.
32. Kokaly, R.F., Asner, G.P., Ollinger, S.V., Martin, M.E., Wessman, C.A., Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sens. Environ. 113 (2009), S78–S91.
33. Lee, C.M., Cable, M.L., Hook, S.J., Green, R.O., Ustin, S.L., Mandl, D.J., Middleton, E.M., An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities. Remote Sens. Environ. 167 (2015), 6–19.
34. Marvin, D.C., Asner, G.P., Knapp, D.E., Anderson, C.B., Martin, R.E., Sinca, F., Tupayachi, R., Amazonian landscapes and the bias in field studies of forest structure and biomass. Proc. Natl. Acad. Sci. 111 (2014), E5224–E5232.
35. Marvin, D.C., Asner, G.P., Schnitzer, S.A., Liana canopy cover mapped throughout a tropical forest with high-fidelity imaging spectroscopy. Remote Sens. Environ. 176 (2016), 98–106.
36. McManus, K., Asner, G., Martin, R., Dexter, K., Kress, W., Field, C., Phylogenetic Structure of Foliar Spectral Traits in Tropical Forest Canopies. Remote Sens., 8, 2016, 196.
37. Mooney, H.A., Cushman, J.H., Medina, E., Sala, O.E., Schulze, E.-D., (eds.) Functional Roles of Biodiversity: A Global Perspective, 1996, John Wiley and Sons, Chichester.
38. Papeş, M., Tupayachi, R., Martínez, P., Peterson, A.T., Powell, G.V.N., Using hyperspectral satellite imagery for regional inventories: a test with tropical emergent trees in the Amazon Basin. J. Veg. Sci. 21 (2010), 342–354.
39. Running, S.W., Justice, C.O., Salomonson, V., Hall, D., Barker, J., Kaufmann, Y.J., Strahler, A.H., Huete, A.R., Muller, J.-P., Vanderbilt, V., Wan, Z.M., Teillet, P., Carneggie, D., Terrestrial remote sensing science and algorithms planned for EOS/MODIS. Int. J. Remote Sens. 15 (1994), 3587–3620.
40. Schimel, D.S., Asner, G.P., Moorcroft, P.R., Observing changing ecological diversity in the Anthropocene. Front. Ecol. Environ. 11 (2013), 129–137.
41. Schnitzer, S.A., Bongers, F., Increasing liana abundance and biomass in tropical forests: emerging patterns and putative mechanisms. Ecol. Lett. 14 (2011), 397–406.
42. Serbin, S.P., Singh, A., Mcneil, B.E., Kingdon, C.C., Townsend, P.A., Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species. Ecol. Appl. 24 (2014), 1651–1669.
43. Tucker, C.J., Townshend, J.R.G., Strategies for monitoring tropical deforestation using satellite data. Int. J. Remote Sens. 21 (2000), 1461–1471.
44. Turner, W., Spector, S., Gardiner, N., Fladeland, M., Sterling, E., Steininger, M., Remote sensing for biodiversity and conservation. Trends Ecol. Evol. 18 (2003), 306–314.
45. Ustin, S.L., Gitelson, A.A., Jacquemoud, S., Schaepman, M., Asner, G.P., Gamon, J.A., Zarco-Tejada, P., Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens. Environ. 113 (2009), S67–S77.
46. Ustin, S.L., Roberts, D.A., Gamon, J.A., Asner, G.P., Green, R.O., Using imaging spectroscopy to study ecosystem processes and properties. BioScience 54 (2004), 523–534.
47. Wold, S., Sjostrom, M., Eriksson, L., PLS-regression: a basic tool of chemometrics. Chemometr. Intell. Lab. Syst. 58 (2001), 109–130.
48. Zhao, Y., Zeng, Y., Zhao, D., Wu, B., Zhao, Q., The optimal leaf biochemical selection for mapping species diversity based on imaging spectroscopy. Remote Sens., 8, 2016, 216.