Angela Lausch

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

Helmholtz-Zentrum für Umweltforschung GmbH - UFZ
Department Landschaftsökologie
Permoserstraße 15
04318 Leipzig

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

Forschungsschwerpunkte und wissenschaftliches Interesse

  • Bio-Semantic, Eco-Semantic, Geo-Semantic, Linked Open Data (LOD), Spatial Linked Open Data (SLOD)
  • traiting ecology, traiting remote sensing, Finden einer gemeinsamen "Sprache" zwischen den Disziplingen Fernerkundung , Biologie, Ökoloie, Geographie um, neue Technologien und kommende Fernerkundungsdaten effizient einsetzen zu können., Kopplung verschiedener Ansätze in den Disziplinen - Biologie, Macro-Ökologie um den Vorteil jedes Ansatzes zu nutzen und integrative Forschung zu realisieren.
  • Erfassung von Landnutzungsintensität (LUI) und Hemeroby mit Fernerkundungsmethoden
  • Pattern-Prozess Interaktionen und deren Skaleneffekte in Pflanzengesellschaften, Biotope, Habitate, Biome
  • Erkennung von Mustern und Strukturen in Daten mittels Fernerkundung, Data Mining und Spatial Data Mining Methoden
  • Vegetationsmuster als Sensor für Boden- und bodenhydrologische Charakteristika
  • Verknüpfung terrestrische Sensornetzwerke mit airborn, spaceborne RS Daten
  • Hyperspektrale Fernerkundung Fernerkundung

Publikationen

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) (open access)

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 Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Sensing, 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)

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)

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)