481
Lausch A et al (2015) Understanding and quantifying landscape structure – A review on relevant
process characteristics, data models and landscape metrics, ecological modelling. Elsevier BV
295:31–41. https://doi.org/10.1016/j.ecolmodel.2014.08.018
Lawley V et al (2016) Site-based and remote sensing methods for monitoring indicators of vegetation condition: an Australian review, ecological indicators. Elsevier Ltd 60:1273–1283. https://
doi.org/10.1016/j.ecolind.2015.03.021
Leitão PJ, Schwieder M, Suess S, Catry I, Milton EJ, Moreira F, Osborne PE, Pinto MJ, van der
Linden S, Hostert P (2015) Mapping beta diversity from space: sparse generalised dissimilarity
modelling SGDM for analysing high-dimensional data. Methods Ecol Evol 6:764–771
Lehner B, Liermann Reidy C, Revenga C, Vörösmarty C, Fekete B, Crouzet P, Döll P, Endejan M,
Frenken K, Magome J, Nilsson C, Robertson JC, Rodel R, Sindorf N, Wisser D (2011) Highresolution mapping of the World’s reservoirs and dams for Sustainable River-Flow management. Front Ecol Environ 9:494–502
Lesiv M, Moltchanova E, Schepaschenko D, See L, Shvidenko A, Comber A, Fritz S (2016)
Comparison of data fusion methods using crowdsourced data in creating a hybrid forest cover
map. Remote Sens 8
Lim K et al (2003) LiDAR remote sensing of forest structure. Prog Phys Geog 27(1):88–106
Liu WT, Kogan FN (1994) Monitoring regional drought using the vegetation condition index. Int
J Remote Sens 17:2761–2782
Liu J, Linderman M, Ouyang Z, An L, Yang J, Zhang H (2001) Ecological degradation in protected
areas: the case of Wolong nature reserve for giant Pandas. Science 292:98–101
Liu Z, Blasch E, John V (2017) Statistical comparison of image fusion algorithms: recommendations. Inf Fusion 36:251–260
Loew A, Bell W, Brocca L, Bulgin CE, Burdanowitz J, Calbet X, Donner RV, Ghent D, Gruber A,
Kaminski T, Kinzel J, Klepp C, Lambert J-C, Schaepman-Strub G, Schröder M, Verhoelst T
(2017) Validation practices for satellite-based earth observation data across communities. Rev
Geophys 39:779–817
Lovett GM et al (2005) Ecosystem function in heterogeneous landscapes, ecosystem function in
heterogeneous landscapes. Springer, New York
MA [Millennium Ecosystem Assessment] (2005) Ecosystems and human wellbeing: synthesis.
Island Press, Washington, DC
Maes D, Isaac NJ, Harrower CA, Coleen B, van Strien AJ, Roy DB (2015) The use of opportunistic data for IUCN red list assessments [in special issue: fifty years of the biological records
Centre]. Biol J Linn Soc 115:690–706
Ma L et al (2017) A review of supervised object-based land-cover image classification. ISPRS J
Photogramm Remote Sens 130:277–293. https://doi.org/10.1016/j.isprsjprs.2017.06.001
Maldonado C et al (2015) Estimating species diversity and distribution in the era of Big Data :
to what extent can we trust public databases? Glob Ecol Biogeogr 24:973–984. https://doi.
org/10.1111/geb.12326
McLean P, Gallien L, Wilson JRU, Gaertner M, Richardson DM (2017) Small urban centres as
launching sites for plant invasions in natural areas: insights from South Africa. Biol Invasions
19:3541–3555
Meyer ST, Koch C, Weisser WW (2015) Towards a standardized rapid ecosystem function assessment REFA. Trends Ecol Evol 30:390–397
Montesano PM, Neigh CSR, Sexton J, Feng M, Channan S, Ranson KJ, Townshend JR (2016)
Calibration and validation of Landsat tree cover in the Taiga-Tundra Ecotone. Remote Sens
8:5–7
Morris DE et al (2013) Exploring the potential for automatic extraction of vegetation phenological metrics from traffic webcams. Remote Sens 55:2200–2218. https://doi.org/10.3390/
rs5052200
Nagendra H (2001) Using remote sensing to assess biodiversity. Int J Remote Sens 22:2377–2400
Nagendra H et al (2013) Remote sensing for conservation monitoring: assessing protected areas,
habitat extent, habitat condition, species diversity, and threats, ecological indicators. Elsevier
Ltd 33:45–59. https://doi.org/10.1016/j.ecolind.2012.09.014
17 Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study…
Lausch A et al (2015) Understanding and quantifying landscape structure – A review on relevant
process characteristics, data models and landscape metrics, ecological modelling. Elsevier BV
295:31–41. https://doi.org/10.1016/j.ecolmodel.2014.08.018
Lawley V et al (2016) Site-based and remote sensing methods for monitoring indicators of vegetation condition: an Australian review, ecological indicators. Elsevier Ltd 60:1273–1283. https://
doi.org/10.1016/j.ecolind.2015.03.021
Leitão PJ, Schwieder M, Suess S, Catry I, Milton EJ, Moreira F, Osborne PE, Pinto MJ, van der
Linden S, Hostert P (2015) Mapping beta diversity from space: sparse generalised dissimilarity
modelling SGDM for analysing high-dimensional data. Methods Ecol Evol 6:764–771
Lehner B, Liermann Reidy C, Revenga C, Vörösmarty C, Fekete B, Crouzet P, Döll P, Endejan M,
Frenken K, Magome J, Nilsson C, Robertson JC, Rodel R, Sindorf N, Wisser D (2011) Highresolution mapping of the World’s reservoirs and dams for Sustainable River-Flow management. Front Ecol Environ 9:494–502
Lesiv M, Moltchanova E, Schepaschenko D, See L, Shvidenko A, Comber A, Fritz S (2016)
Comparison of data fusion methods using crowdsourced data in creating a hybrid forest cover
map. Remote Sens 8
Lim K et al (2003) LiDAR remote sensing of forest structure. Prog Phys Geog 27(1):88–106
Liu WT, Kogan FN (1994) Monitoring regional drought using the vegetation condition index. Int
J Remote Sens 17:2761–2782
Liu J, Linderman M, Ouyang Z, An L, Yang J, Zhang H (2001) Ecological degradation in protected
areas: the case of Wolong nature reserve for giant Pandas. Science 292:98–101
Liu Z, Blasch E, John V (2017) Statistical comparison of image fusion algorithms: recommendations. Inf Fusion 36:251–260
Loew A, Bell W, Brocca L, Bulgin CE, Burdanowitz J, Calbet X, Donner RV, Ghent D, Gruber A,
Kaminski T, Kinzel J, Klepp C, Lambert J-C, Schaepman-Strub G, Schröder M, Verhoelst T
(2017) Validation practices for satellite-based earth observation data across communities. Rev
Geophys 39:779–817
Lovett GM et al (2005) Ecosystem function in heterogeneous landscapes, ecosystem function in
heterogeneous landscapes. Springer, New York
MA [Millennium Ecosystem Assessment] (2005) Ecosystems and human wellbeing: synthesis.
Island Press, Washington, DC
Maes D, Isaac NJ, Harrower CA, Coleen B, van Strien AJ, Roy DB (2015) The use of opportunistic data for IUCN red list assessments [in special issue: fifty years of the biological records
Centre]. Biol J Linn Soc 115:690–706
Ma L et al (2017) A review of supervised object-based land-cover image classification. ISPRS J
Photogramm Remote Sens 130:277–293. https://doi.org/10.1016/j.isprsjprs.2017.06.001
Maldonado C et al (2015) Estimating species diversity and distribution in the era of Big Data :
to what extent can we trust public databases? Glob Ecol Biogeogr 24:973–984. https://doi.
org/10.1111/geb.12326
McLean P, Gallien L, Wilson JRU, Gaertner M, Richardson DM (2017) Small urban centres as
launching sites for plant invasions in natural areas: insights from South Africa. Biol Invasions
19:3541–3555
Meyer ST, Koch C, Weisser WW (2015) Towards a standardized rapid ecosystem function assessment REFA. Trends Ecol Evol 30:390–397
Montesano PM, Neigh CSR, Sexton J, Feng M, Channan S, Ranson KJ, Townshend JR (2016)
Calibration and validation of Landsat tree cover in the Taiga-Tundra Ecotone. Remote Sens
8:5–7
Morris DE et al (2013) Exploring the potential for automatic extraction of vegetation phenological metrics from traffic webcams. Remote Sens 55:2200–2218. https://doi.org/10.3390/
rs5052200
Nagendra H (2001) Using remote sensing to assess biodiversity. Int J Remote Sens 22:2377–2400
Nagendra H et al (2013) Remote sensing for conservation monitoring: assessing protected areas,
habitat extent, habitat condition, species diversity, and threats, ecological indicators. Elsevier
Ltd 33:45–59. https://doi.org/10.1016/j.ecolind.2012.09.014
17 Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study…