337
Buitrago MF, Groen TA, Hecker CA, Skidmore AK (2016) Changes in thermal infrared spectra of
plants caused by temperature and water stress. ISPRS J Photogramm Remote Sens 111:22–31.
https://doi.org/10.1016/j.isprsjprs.2015.11.003
Bush A, Sollmann R, Wilting A, Bohmann K, Cole B, Balzter H, Martius C, Zlinszky A, CalvignacSpencer S, Cobbold CA, Dawson TP, Emerson BC, Ferrier S, Gilbert MTP, Herold M, Jones L,
Leendertz FH, Matthews L, Millington JDAA, Olson JR, Ovaskainen O, Raffaelli D, Reeve R,
Rödel M-OO, Rodgers TW, Snape S, Visseren-Hamakers I, Vogler AP, White PCLL, Wooster
MJ, Yu DW (2017) Connecting Earth observation to high-throughput biodiversity data. Nat
Ecol Evol 1:0176. https://doi.org/10.1038/s41559-017-0176
Bwangoy JRB, Hansen MC, Roy DP, De Grandi G, Justice CO (2010) Wetland mapping in the
Congo Basin using optical and radar remotely sensed data and derived topographical indices.
Remote Sens Environ 114:73–86. https://doi.org/10.1016/j.rse.2009.08.004
Cardinale BJ, Duffy JE, Gonzalez A, Hooper DU, Perrings C, Venail P, Narwani A, Mace GM,
Tilman D, Wardle DA, Kinzig AP, Daily GC, Loreau M, Grace JB, Larigauderie A, Srivastava
DS, Naeem S (2012) Biodiversity loss and its impact on humanity. Nature 486:59–67. https://
doi.org/10.1038/Nature11148
Cernansky R (2017) Biodiversity moves beyond counting species. Nature 546:22–24. https://doi.
org/10.1038/546022a
Chen X (2016) A case study using remote sensing data to compare biophysical properties of a forest and an urban area in Northern Alabama, USA. J Sustain For 35:261–279. https://doi.org/1
0.1080/10549811.2016.1166969
Cloude SR, Papathanassiou KP (1998) Polarimetric SAR interferometry. IEEE Trans Geosci
Remote Sens 36:1551–1565. https://doi.org/10.1109/36.718859
Cloude SR, Pettier E, Claude SR, Pottier E (1996) A review of target decomposition theorems in radar
polarimetry. IEEE Trans Geosci Remote Sens 34:498–518. https://doi.org/10.1109/36.485127
Cord AF, Brauman KA, Chaplin-Kramer R, Huth A, Ziv G, Seppelt R (2017) Priorities to advance
monitoring of ecosystem services using Earth observation. Trends Ecol Evol 32:1–13. https://
doi.org/10.1016/j.tree.2017.03.003
Cruzan MB, Weinstein BG, Grasty MR, Kohrn BF, Hendrickson EC, Arredondo TM, Thompson
PG (2016) Small unmanned aerial vehicles (micro-UAVs, drones) in plant ecology. Appl Plant
Sci 4:1600041. https://doi.org/10.3732/apps.1600041
Dash P, Göttsche F-M, Olesen F-S, Fischer H (2002) Land surface temperature and emissivity
estimation from passive sensor data: theory and practice-current trends. Int J Remote Sens
23:2563–2594. https://doi.org/10.1080/01431160110115041
Deans AR, Lewis SE, Huala E, Anzaldo SS, Ashburner M, Balhoff JP, Blackburn DC, Blake JA,
Burleigh JG, Chanet B, Cooper LD, Courtot M, Csösz S, Cui H, Dahdul W, Das S, Dececchi
TA, Dettai A, Diogo R, Druzinsky RE, Dumontier M, Franz NM, Friedrich F, Gkoutos GV,
Haendel M, Harmon LJ, Hayamizu TF, He Y, Hines HM, Ibrahim N, Jackson LM, Jaiswal
P, James-Zorn C, Köhler S, Lecointre G, Lapp H, Lawrence CJ, Le Novére N, Lundberg
JG, Macklin J, Mast AR, Midford PE, Mikŏ I, Mungall CJ, Oellrich A, Osumi-Sutherland
D, Parkinson H, Ramirez MJ, Richter S, Robinson PN, Ruttenberg A, Schulz KS, Segerdell
E, Seltmann KC, Sharkey MJ, Smith AD, Smith B, Specht CD, Squires RB, Thacker RW,
Thessen A, Fernandez-Triana J, Vihinen M, Vize PD, Vogt L, Wall CE, Walls RL, Westerfeld
M, Wharton RA, Wirkner CS, Woolley JB, Yoder MJ, Zorn AM, Mabee P (2015) Finding our
way through phenotypes. PLoS Biol 13. https://doi.org/10.1371/journal.pbio.1002033
Devaney J, Barrett B, Barrett F, Redmond J, O’Halloran J (2015) Forest cover estimation in Ireland
using radar remote sensing: a comparative analysis of forest cover assessment methodologies.
PLoS One 10:1–27. https://doi.org/10.1371/journal.pone.0133583
Dingle Robertson L, King DJ, Davies C (2015) Object-based image analysis of optical and radar
variables for wetland evaluation. Int J Remote Sens 36:5811–5841
Doktor D, Lausch A, Spengler D, Thurner M (2014) Extraction of plant physiological status from
hyperspectral signatures using machine learning methods. Remote Sens 6:12247–12274.
https://doi.org/10.3390/rs61212247
13 A Range of Earth Observation Techniques for Assessing Plant Diversity
Buitrago MF, Groen TA, Hecker CA, Skidmore AK (2016) Changes in thermal infrared spectra of
plants caused by temperature and water stress. ISPRS J Photogramm Remote Sens 111:22–31.
https://doi.org/10.1016/j.isprsjprs.2015.11.003
Bush A, Sollmann R, Wilting A, Bohmann K, Cole B, Balzter H, Martius C, Zlinszky A, CalvignacSpencer S, Cobbold CA, Dawson TP, Emerson BC, Ferrier S, Gilbert MTP, Herold M, Jones L,
Leendertz FH, Matthews L, Millington JDAA, Olson JR, Ovaskainen O, Raffaelli D, Reeve R,
Rödel M-OO, Rodgers TW, Snape S, Visseren-Hamakers I, Vogler AP, White PCLL, Wooster
MJ, Yu DW (2017) Connecting Earth observation to high-throughput biodiversity data. Nat
Ecol Evol 1:0176. https://doi.org/10.1038/s41559-017-0176
Bwangoy JRB, Hansen MC, Roy DP, De Grandi G, Justice CO (2010) Wetland mapping in the
Congo Basin using optical and radar remotely sensed data and derived topographical indices.
Remote Sens Environ 114:73–86. https://doi.org/10.1016/j.rse.2009.08.004
Cardinale BJ, Duffy JE, Gonzalez A, Hooper DU, Perrings C, Venail P, Narwani A, Mace GM,
Tilman D, Wardle DA, Kinzig AP, Daily GC, Loreau M, Grace JB, Larigauderie A, Srivastava
DS, Naeem S (2012) Biodiversity loss and its impact on humanity. Nature 486:59–67. https://
doi.org/10.1038/Nature11148
Cernansky R (2017) Biodiversity moves beyond counting species. Nature 546:22–24. https://doi.
org/10.1038/546022a
Chen X (2016) A case study using remote sensing data to compare biophysical properties of a forest and an urban area in Northern Alabama, USA. J Sustain For 35:261–279. https://doi.org/1
0.1080/10549811.2016.1166969
Cloude SR, Papathanassiou KP (1998) Polarimetric SAR interferometry. IEEE Trans Geosci
Remote Sens 36:1551–1565. https://doi.org/10.1109/36.718859
Cloude SR, Pettier E, Claude SR, Pottier E (1996) A review of target decomposition theorems in radar
polarimetry. IEEE Trans Geosci Remote Sens 34:498–518. https://doi.org/10.1109/36.485127
Cord AF, Brauman KA, Chaplin-Kramer R, Huth A, Ziv G, Seppelt R (2017) Priorities to advance
monitoring of ecosystem services using Earth observation. Trends Ecol Evol 32:1–13. https://
doi.org/10.1016/j.tree.2017.03.003
Cruzan MB, Weinstein BG, Grasty MR, Kohrn BF, Hendrickson EC, Arredondo TM, Thompson
PG (2016) Small unmanned aerial vehicles (micro-UAVs, drones) in plant ecology. Appl Plant
Sci 4:1600041. https://doi.org/10.3732/apps.1600041
Dash P, Göttsche F-M, Olesen F-S, Fischer H (2002) Land surface temperature and emissivity
estimation from passive sensor data: theory and practice-current trends. Int J Remote Sens
23:2563–2594. https://doi.org/10.1080/01431160110115041
Deans AR, Lewis SE, Huala E, Anzaldo SS, Ashburner M, Balhoff JP, Blackburn DC, Blake JA,
Burleigh JG, Chanet B, Cooper LD, Courtot M, Csösz S, Cui H, Dahdul W, Das S, Dececchi
TA, Dettai A, Diogo R, Druzinsky RE, Dumontier M, Franz NM, Friedrich F, Gkoutos GV,
Haendel M, Harmon LJ, Hayamizu TF, He Y, Hines HM, Ibrahim N, Jackson LM, Jaiswal
P, James-Zorn C, Köhler S, Lecointre G, Lapp H, Lawrence CJ, Le Novére N, Lundberg
JG, Macklin J, Mast AR, Midford PE, Mikŏ I, Mungall CJ, Oellrich A, Osumi-Sutherland
D, Parkinson H, Ramirez MJ, Richter S, Robinson PN, Ruttenberg A, Schulz KS, Segerdell
E, Seltmann KC, Sharkey MJ, Smith AD, Smith B, Specht CD, Squires RB, Thacker RW,
Thessen A, Fernandez-Triana J, Vihinen M, Vize PD, Vogt L, Wall CE, Walls RL, Westerfeld
M, Wharton RA, Wirkner CS, Woolley JB, Yoder MJ, Zorn AM, Mabee P (2015) Finding our
way through phenotypes. PLoS Biol 13. https://doi.org/10.1371/journal.pbio.1002033
Devaney J, Barrett B, Barrett F, Redmond J, O’Halloran J (2015) Forest cover estimation in Ireland
using radar remote sensing: a comparative analysis of forest cover assessment methodologies.
PLoS One 10:1–27. https://doi.org/10.1371/journal.pone.0133583
Dingle Robertson L, King DJ, Davies C (2015) Object-based image analysis of optical and radar
variables for wetland evaluation. Int J Remote Sens 36:5811–5841
Doktor D, Lausch A, Spengler D, Thurner M (2014) Extraction of plant physiological status from
hyperspectral signatures using machine learning methods. Remote Sens 6:12247–12274.
https://doi.org/10.3390/rs61212247
13 A Range of Earth Observation Techniques for Assessing Plant Diversity