Angela Lausch

Angela Lausch, PD. Dr. rer. nat. habil.

Helmholtz Centre for Environmental Research - UFZ
Department of Landscape Ecology
Permoserstr.15
D - 04318 Leipzig

Tel.: ++49 341 235 1961
Fax.: ++49 341 235 1939
angela.lausch@ufz.de

Research interests

  1. Bio-Semantic, Eco-Semantic, Geo-Semantic, Linked Open Data (LOD), Spatial Linked Open Data (SLOD)
  2. traiting ecology, traiting remote sensing, find common languages between RS, biology, ecology, geographic disciplies in using new technologies and data of remote sensing, coupling different approaches the get a benefit for future environmental research
  3. quantification of land-use-intensity (LUI) and hemeroby by remote sensing
  4. pattern-process interaction and its scale effects in communities, habitats, bioms
  5. analysing of patterns in data with remote sensing, data mining and spatial data mining techniques
  6. vegetation pattern as sensor for soil characteristics and soil moisture patterns
  7. Coupling terrestrial sensor networks with RS data of drones, airborne and speceborne sensors
  8. hyperspectrale remote sensing methods Remote Sensing

Publications

Guest Editor in Special Issues:

Special Issue - "Remote Sensing of Inland Waters and Their Catchments"
http://www.mdpi.com/journal/remotesensing/special_issues/inland_water_catchment
Guest editors: Angela Lausch, Jan Bumberger, Natascha Oppelt, Karsten Rinke
Deadline for manuscript submissions: 31 January 2020

Special Issue - "Data Science in Remote Sensing"
www.mdpi.com/journal/remotesensing/special_issues/datasci
Guest editors: Lausch, Paulheim, Paasche, Scheuer
Deadline for manuscript submissions: 30. April 2019

Special Issue - "Remote Sensing of Forest Health"
www.mdpi.com/journal/remotesensing/special_issues/foresthealth
Guest editors: Angela Lausch, Marco Heurich
Deadline for manuscript submissions: closed (31 July 2016) 

Important books:

Jeannine Cavender-Bares, John A. Gamon, Philip A. Townsend 2020. Remote Sensing of Plant Biodiversity, Remote Sensing of Plant Biodiversity. Springer International Publishing, Cham.
(doi) (open access)

Important ISI papers:
Andrew K. Skidmore , Nicholas C. Coops, Elnaz Neinavaz, Abebe Ali, Michael E. Schaepman, Marc Paganini, W. Daniel Kissling, Petteri Vihervaara, Roshanak Darvishzadeh, Hannes Feilhauer, Miguel Fernandez, Néstor Fernández, Noel Gorelick, Ilse Geizendorffer, Uta Heiden, Marco Heurich, Donald Hobern, Stefanie Holzwarth, Frank E. Muller-Karger, Ruben Van De Kerchove, Angela Lausch, Pedro J Leitãu, Marcelle C. Lock, Caspar A. Mücher, Brian O'Connor, Duccio Rocchini, Woody Turner, Jan-Kees Vis, Tiejun Wang, Martin Wegmann, Vladimir Wingate 2021. Priority list of biodiversity metrics to observe from space. Nature Ecology & Evolution,
(doi)

Hermanns F, Pohl F, Rebmann C, Schulz G, Werban U, Lausch A. Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery. Remote Sens. 2021;13(10):1885.
(doi) (open access)

Erik Andersson, Dagmar Haase, Pippin Andersson, Chiara Cortinovis, Julie Goodness, Dave Kendal, Angela Lausch, Timon McPhearson, Daria Sikorska, Thilo Wellmann, 2021. What are the traits of a social-ecological system? Towards a framework in support of urban sustainability. npj Urban Sustain. 1, 14.
(doi) (open access)

Zhou, T.; Geng, Y.; Ji, C.; Xu, X.; Wang, H.; Pan, J.; Bumberger, J.; Haase, D.; Lausch, A. Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images. Sci. Total Environ. 2021, 755, 142661.
(doi)

Feilhauer, H., Zlinszky, A., Kania, A., Foody, G.M., Doktor, D., Lausch, A., Schmidtlein, S., 2020. Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation. Remote Sens. Ecol. Conserv. rse2.188.
(doi) (open access)

Lausch, A., Schaepman, M.E., Skidmore, A.K., Truckenbrodt, S.C., Hacker, J.M., Baade, J., Bannehr, L., Borg, E., Bumberger, J., Dietrich, P., Gläßer, C., Haase, D., Heurich, M., Jagdhuber, T., Jany, S., Krönert, R., Möller, M., Mollenhauer, H., Montzka, C., Pause, M., Rogass, C., Salepci, N., Schmullius, C., Schrodt, F., Schütze, C., Schweitzer, C., Selsam, P., Spengler, D., Vohland, M., Volk, M., Weber, U., Wellmann, T., Werban, U., Zacharias, S., Thiel, C., 2020. Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces. Remote Sens. 12 (22), 3690.
(doi) (open access)

Wellmann, T., Lausch, A., Andersson, E., Knapp, S., Cortinovis, C., Jache, J., Scheuer, S., Kremer, P., Mascarenhas, A., Kraemer, R., Haase, A., Schug, F., Haase, D., 2020. Remote sensing in urban planning: Contributions towards ecologically sound policies? Landsc. Urban Plan. 204, 103921.
(doi) (open access)

Zhou, T., Geng, Y., Chen, J., Pan, J., Haase, D., Lausch, A., 2020. High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms. Sci. Total Environ. 138244.
(doi)

Tao Zhou, Yajun Geng, Dagmar Haase, Angela Lausch, 2020. Mapping of soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China. Ecological Indicators. 114, 106288.
(doi)

Wellmann, T., Lausch, A., Scheuer, S., Haase, D., 2020. Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting. Ecol. Indic. 111, 106029.
(doi)

Tao Zhou, Yajun Geng, Jie Chen, Chuanliang Sun, Dagmar Haase, Angela Lausch, 2019. Mapping of Soil Total Nitrogen Content in the Middle Reaches of the Heihe River Basin in China using Multi Source Remote Sensing-Derived Variables. Remotes Sensing, 11 (24), 2934;
(doi)

Lausch, A., Baade, J., Bannehr, L., Borg, E., Bumberger, J., Chabrilliat, S., Dietrich, P., Gerighausen, H., Glässer, C., Hacker, J.M., Haase, D., Jagdhuber, T., Jany, S., Jung, A., Karnieli, A., Kraemer, R., Makki, M., Mielke, C., Möller, M., Mollenhauer, H., Montzka, C., Pause, M., Rogass, C., Rozenstein, O., Schmullius, C., Schrodt, F., Schrön, M., Schulz, K., Schütze, C., Schweitzer, C., Selsam, P., Skidmore, A.K., Spengler, D., Thiel, C., Truckenbrodt, S., Vohland, M., Wagner, R., Weber, U., Werban, U., Wollschläger, U., Zacharias, S., Schaepman M. E. 2019. Linking Remote Sensing and Geodiversity and their Traits Relevant to Biodiversity-Part I: Soil Characteristics. Remote Sensing. 11, 2356.
(doi) (open access)

Kabisch; N., Selsam, P., Kirsten, t., Lausch, A., Bumberger, J. 2019. A multi-sensor and multi-temporal remote sensing approach to detect land cover change dynamics in heterogeneous urban landscapes. Ecological Indicators, 99, 273-282.
(doi)

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, P.; Schweitzer, C.; Schmulius, C.; Settele, J.; Skidmore, A.K.; Wegmann, M.; Zacharias, S.; Kirsten, T.; Schaepman, M.E., 2018. Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sensing, 10, 1120;
(doi)

Lausch, A.; Bastian O.; Klotz, S.; Leitão, P. J.; Jung, A.; Rocchini, D.; Schaepman, M.E.; Skidmore, A.K.; Tischendorf, L.; Knapp, S., 2018. Understanding and assessing vegetation health by in-situ species and remote sensing approaches. Methods in Ecology and Evolution, Methods Ecol. Evol. 9 (8), 1799 - 1809.
(doi)

Duccio Rocchini, Sandra Luque, Nathalie, Lucy Bastin, Daniel Doktor, Nicol Faedi, Hannes Feilhauer, Jean-Baptiste Feret, Giles M. Foody, Yoni Gavish, Sergio Godinho, William E. Kunin, Angela Lausch, Leitão, P. J., Matteo Marcantonio, Markus Neteler, Carlo Ricotta, Sebastian Schmidtlein, Petteri Vihervaara, Martin Wegmann, Harini Nagendra, 2018. Measuring ß-diversity by remote sensing: A challenge for biodiversity monitoring. Methods Ecol. Evol. 9 (8), 1787-1798.
(doi)

Wellmann, T., Haase, D., Knapp, S., Salbach, Ch., Selsam, P., Lausch, A., 2018. Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators, Ecological Indicators 85, 190-203.
(doi)

Lausch, A., Erasmi, S., Douglas, J., King, Magdon, P., Heurich, M., 2017. Understanding forest health with remote sensing - Part II - A review of approaches and data models. Remote Sensing 9, 129.
(doi) (open access)

Schmidt, J., Fassnacht, F.E., Lausch, A., Schmidtlein, S., 2017. Assessing the functional signature of heathland landscapes via hyperspectral remote sensing. Ecological Indicators 73, 505-512.
(doi)

Lausch, A., Bannehr, L., Beckmann, M., Boehm, C., Feilhauer, H., Hacker, J.M., Heurich, M., Jung, A., Klenke, R., Neumann, C., Pause, M., Rocchini, D., Schaepman, M.E.; Schmidtlein, S., Schulz, K., Selsam, P., Settele, J., Skidmore, A.K., Cord, A.F., 2016. Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecological Indicators 70., 317-339.
(doi)

Lausch, A., Erasmi, S., Douglas, J., King, Magdon, P., Heurich, M., 2016. Understanding forest health with remote sensing - Part I - A review of spectral traits, processes and remote sensing characteristics. Remote Sensing 8, 1029.
(doi) (open access)

Lausch, A., Blaschke, T., Haase, D., Herzog, F., Syrbe, R.-U., Tischendorf, L., Walz, U., 2015. Understanding and quantifying landscape structure – A review on relevant process characteristics, data models and landscape metrics. Ecological Modelling 295, 31-41.
(doi)

Lausch, A., Schmidt, A., Tischendorf, L., 2015. Data mining and linked open data – A new perspective for data analysis in environmental research. Ecological Modelling 295, 5-17.
(doi)

Lausch, A., Salbach, C., Doktor, D., Schmidt, A., Merbach, I., Pause, M., 2015. Deriving phenology of barley with imaging hyperspectral remote sensing Ecological Modelling. 295, 123-135,

(doi)

Clasen, A., Somers, B., Pipkins, K., Tits, L., Segl, K., Brell, M., Kleinschmit, B., Spengler, D., Lausch, A., Förster, M., 2015. Spectral unmixing of forest crown components at close range, airborne and simulated EnMAP imaging scale. Remote Sensing. 7, 15361-15387;

(doi) (open access)

Tarin Paz-Kagan, Eli Zaady, Christoph Salbach, Andreas Schmidt, Angela Lausch, Steffen Zacharias, Gila Notesco, Eyal Ben Dor, Arnon Karnieli. 2015. Developing a Spectral Soil Quality Index (SSQI) Map using Imaging Spectroscopy. Remote Sensing 7(11), 15748-15781;

(doi) (open access)

Carsten Neumann, Gabriele Weiss, Sebastian Schmidtlein, Sibylle Itzerott, Angela Lausch, Daniel Doktor, Maximilan Brell. 2015. Ecological Gradient-Based Habitat Quality Assessment for Spectral Ecosystem Monitoring. Remote Sensing, 7, 2871-2898;
(doi) (open access)

Feilhauer, H.; Doktor, D.; Lausch, A., Schmidtlein, S.; Schulz, G., Stenzel, S., 2014. Mapping Natura 2000 habitats and their local variability with remote sensing. Applied Vegetation Science, 17 (4), 765-779,

(doi)

Pause, M., Lausch, A., Bernhardt, M., Hacker, J., Schulz, K., 2014. Improving soil moisture retrieval from airborne L-band radiometer data by considering spatially varying roughness. Canadian Journal of Remote Sensing 40 (1), 15-25.

(doi)

Rogass. C., Mielke M., Scheffler D., Nina K., Boesche N.K., Lausch A., Lubitz C., Brell M., Spengler D., Eisele A., Segl K., Guanter L., 2014. Reduction of uncorrelated striping noise - applications for hyperspectral pushbroom acquisitions. Remote Sensing 6, 11082-11106,

(doi) (open access)

Doktor, D., Lausch, A., Spengler, D., Thurner, M., 2014. Extraction of plant physiological status from hyperspectral signatures using machine learning methods. Remote Sensing 6, 12247-12274, doi:10.3390/rs61212247.

(doi) (open access)

Paasche, H., Eberle, D., Das, D., Cooper, A., Debba, P., Dietrich, P., Dudeni-Thlone, N., Gläßer, C., Kijko, A., Knobloch, A., Lausch, A., Meyer, U., Stettler, E., Werban, U., 2014. Are Earth Sciences lagging behind in data integration methodologies? Environmental Earth Science, 71 (4), 1997-2003, Doi: 10.1007/s12665-013-2931-9.

(doi)

Brosinsky, A., Lausch A., Doktor, D., Salbach, C, Merbach, I. Gwillym-Margianto, S., Pause, M., 2014. Analysis of spectral vegetation signal characteristics as a function of soil moisture conditions using hyperspectral remote sensing. Journal of the Indian Society of Remote Sensing, 42 (2), 311-324

(doi)

Lausch, A., Zacharias, S., Dierke, C., Pause, M., Kühn, I., Doktor, D., Dietrich, P., Werban, U., 2013. Analysis of vegetation and soil pattern using hyperspectral remote sensing, EMI and Gamma ray measurements. Vadose Zone Journal 12 (4),

(doi)

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. Canadian Journal of Remote Sensing 39 (3), 191-207.

(doi)

Lausch, A., Heurich, M., Gordalla, D., Dobner, H.-J., Gwillym-Margianto, S., Salbach, C., 2013. Forecasting potential bark beetle outbreaks based on spruce forest vitality using hyperspectral remote-sensing techniques at different scales. Forest Ecology and Management 308, 76-89, 

(doi)

Lausch, A., Pause, M., Doktor, D., Preidl., S., Schulz, K., 2013. Monitoring and assessing of landscape heterogeniety at different scales. Environmental Monitoring and Assessment. 185, 11, 9419-9434.

(doi)

Lausch, A., Pause, M. Merbach, I., Zacharias, S., Doktor, D., Volk, M., Seppelt, R., 2013. A new multi-scale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field and landscape. Environmental Monitoring and Assessment 185 (2), 1215-1235.

(doi)

Lausch, A., Heurich, M., Fahse, L., 2013. Spatio-temporal infestations pattern of Ips typographus (L.) in Bavarian Forest National Park, Germany. Ecological Indicators 31, 73-81.

(doi)