341
hydrometeorology. Photogramm Eng Remote Sens 69:631–646. https://doi.org/10.14358/
PERS.69.6.631
Latifi H, Nothdurft A, Koch B (2010) Non-parametric prediction and mapping of standing timber
volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors. Forestry 83:395–407. https://doi.org/10.1093/forestry/cpq022
Latifi H, Fassnacht FE, Muller J, Tharani A, Dech S, Heurich M (2015) Forest inventories by
LiDAR data: a comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. Int J Appl Earth Obs Geoinf 42:162–174. https://doi.
org/10.1016/j.jag.2015.06.008
Lausch A, Pause M, Schmidt A, Salbach C, Gwillym-Margianto S, Merbach I (2013) Temporal
hyperspectral monitoring of chlorophyll, LAI, and water content of barley during a growing
season. Can J Remote Sens 39:191–207. https://doi.org/10.5589/m13-028
Lausch A, Blaschke T, Haase D, Herzog F, Syrbe R-U, Tischendorf L, Walz U (2015a)
Understanding and quantifying landscape structure – a review on relevant process characteristics, data models and landscape metrics. Ecol Model 295:31–41. https://doi.org/10.1016/j.
ecolmodel.2014.08.018
Lausch A, Salbach C, Schmidt A, Doktor D, Merbach I, Pause M (2015b) Deriving phenology
of barley with imaging hyperspectral remote sensing. Ecol Model 295:123–135. https://doi.
org/10.1016/j.ecolmodel.2014.10.001
Lausch A, Schmidt A, Tischendorf L (2015c) Data mining and linked open data – new perspectives
for data analysis in environmental research. Ecol Model 295:5–17. https://doi.org/10.1016/j.
ecolmodel.2014.09.018
Lausch A, Bannehr L, Beckmann M, Boehm C, Feilhauer H, Hacker JM, Heurich M, Jung A,
Klenke R, Neumann C, Pause M, Rocchini D, Schaepman ME, Schmidtlein S, Schulz K,
Selsam P, Settele J, Skidmore AK, Cord AF (2016a) Linking Earth observation and taxonomic,
structural and functional biodiversity: local to ecosystem perspectives. Ecol Indic 70:317–339.
https://doi.org/10.1016/j.ecolind.2016.06.022
Lausch A, Erasmi S, King DJ, Magdon P, Heurich M (2016b) Understanding forest health with
remote sensing -part I – a review of spectral traits, processes and remote-sensing characteristics. Remote Sens 8:1029. https://doi.org/10.3390/RS8121029
Lausch A, Erasmi S, King D, Magdon P, Heurich M (2017) Understanding forest health with
remote sensing-part II – a review of approaches and data models. Remote Sens 9:129. https://
doi.org/10.3390/rs9020129
Lausch A, Borg E, Bumberger J, Dietrich P, Heurich M, Huth A, Jung A, Klenke R, Knapp S,
Mollenhauer H, Paasche H, Paulheim H, Pause M, Schweitzer C, Schmulius C, Settele J,
Skidmore A, Wegmann M, Zacharias S, Kirsten T, Schaepman M (2018a) Understanding forest health with remote sensing, part III: requirements for a scalable multi-source forest health
monitoring network based on data science approaches. Remote Sens 10:1120. https://doi.
org/10.3390/rs10071120
Lausch A, Olaf B, Stefan K, Leitao P, Jung A, Rocchini D, Schaepman ME, Skidmore AK,
Tischendorf L, Knapp S (2018b) Understanding and assessing vegetation health by insitu species and remote sensing approaches. Methods Ecol Evol 9:1799–1809. https://doi.
org/10.1111/2041-210X.13025
Lausch A, Baade J, Bannehr L, Borg E, Bumberger J, Chabrilliat S, Dietrich P, Gerighausen
H, Glässer C, Hacker JM, et al (2019) Linking remote sensing and geodiversity and their
traits relevant to biodiversity—part I: soil characteristics. Remote Sens 11:2356. https://doi.
org/10.3390/rs11202356
Lawton JH, Naeem S, Woodfin RM, Brown VK, Gange A, Godfray HCJ, Heads PA, Lawler S,
Magda D, Thomas CD, Tompson LJ, Young S (1993) The Ecotron: a controlled environmental
facility for the investigation of population and ecosystem processes. Philos Trans Biol Sci
341:181–194. https://doi.org/10.1098/rstb.1993.0102
Le Toan T, Quegan S, Woodward I, Lomas M, Delbart N, Picard G (2004) Relating radar remote
sensing of biomass to modelling of forest carbon budgets. Clim Chang 67:379–402. https://doi.
org/10.1007/s10584-004-3155-5
13 A Range of Earth Observation Techniques for Assessing Plant Diversity
hydrometeorology. Photogramm Eng Remote Sens 69:631–646. https://doi.org/10.14358/
PERS.69.6.631
Latifi H, Nothdurft A, Koch B (2010) Non-parametric prediction and mapping of standing timber
volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors. Forestry 83:395–407. https://doi.org/10.1093/forestry/cpq022
Latifi H, Fassnacht FE, Muller J, Tharani A, Dech S, Heurich M (2015) Forest inventories by
LiDAR data: a comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. Int J Appl Earth Obs Geoinf 42:162–174. https://doi.
org/10.1016/j.jag.2015.06.008
Lausch A, Pause M, Schmidt A, Salbach C, Gwillym-Margianto S, Merbach I (2013) Temporal
hyperspectral monitoring of chlorophyll, LAI, and water content of barley during a growing
season. Can J Remote Sens 39:191–207. https://doi.org/10.5589/m13-028
Lausch A, Blaschke T, Haase D, Herzog F, Syrbe R-U, Tischendorf L, Walz U (2015a)
Understanding and quantifying landscape structure – a review on relevant process characteristics, data models and landscape metrics. Ecol Model 295:31–41. https://doi.org/10.1016/j.
ecolmodel.2014.08.018
Lausch A, Salbach C, Schmidt A, Doktor D, Merbach I, Pause M (2015b) Deriving phenology
of barley with imaging hyperspectral remote sensing. Ecol Model 295:123–135. https://doi.
org/10.1016/j.ecolmodel.2014.10.001
Lausch A, Schmidt A, Tischendorf L (2015c) Data mining and linked open data – new perspectives
for data analysis in environmental research. Ecol Model 295:5–17. https://doi.org/10.1016/j.
ecolmodel.2014.09.018
Lausch A, Bannehr L, Beckmann M, Boehm C, Feilhauer H, Hacker JM, Heurich M, Jung A,
Klenke R, Neumann C, Pause M, Rocchini D, Schaepman ME, Schmidtlein S, Schulz K,
Selsam P, Settele J, Skidmore AK, Cord AF (2016a) Linking Earth observation and taxonomic,
structural and functional biodiversity: local to ecosystem perspectives. Ecol Indic 70:317–339.
https://doi.org/10.1016/j.ecolind.2016.06.022
Lausch A, Erasmi S, King DJ, Magdon P, Heurich M (2016b) Understanding forest health with
remote sensing -part I – a review of spectral traits, processes and remote-sensing characteristics. Remote Sens 8:1029. https://doi.org/10.3390/RS8121029
Lausch A, Erasmi S, King D, Magdon P, Heurich M (2017) Understanding forest health with
remote sensing-part II – a review of approaches and data models. Remote Sens 9:129. https://
doi.org/10.3390/rs9020129
Lausch A, Borg E, Bumberger J, Dietrich P, Heurich M, Huth A, Jung A, Klenke R, Knapp S,
Mollenhauer H, Paasche H, Paulheim H, Pause M, Schweitzer C, Schmulius C, Settele J,
Skidmore A, Wegmann M, Zacharias S, Kirsten T, Schaepman M (2018a) Understanding forest health with remote sensing, part III: requirements for a scalable multi-source forest health
monitoring network based on data science approaches. Remote Sens 10:1120. https://doi.
org/10.3390/rs10071120
Lausch A, Olaf B, Stefan K, Leitao P, Jung A, Rocchini D, Schaepman ME, Skidmore AK,
Tischendorf L, Knapp S (2018b) Understanding and assessing vegetation health by insitu species and remote sensing approaches. Methods Ecol Evol 9:1799–1809. https://doi.
org/10.1111/2041-210X.13025
Lausch A, Baade J, Bannehr L, Borg E, Bumberger J, Chabrilliat S, Dietrich P, Gerighausen
H, Glässer C, Hacker JM, et al (2019) Linking remote sensing and geodiversity and their
traits relevant to biodiversity—part I: soil characteristics. Remote Sens 11:2356. https://doi.
org/10.3390/rs11202356
Lawton JH, Naeem S, Woodfin RM, Brown VK, Gange A, Godfray HCJ, Heads PA, Lawler S,
Magda D, Thomas CD, Tompson LJ, Young S (1993) The Ecotron: a controlled environmental
facility for the investigation of population and ecosystem processes. Philos Trans Biol Sci
341:181–194. https://doi.org/10.1098/rstb.1993.0102
Le Toan T, Quegan S, Woodward I, Lomas M, Delbart N, Picard G (2004) Relating radar remote
sensing of biomass to modelling of forest carbon budgets. Clim Chang 67:379–402. https://doi.
org/10.1007/s10584-004-3155-5
13 A Range of Earth Observation Techniques for Assessing Plant Diversity