| Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing T Wellmann, D Haase, S Knapp, C Salbach, P Selsam, A Lausch Ecological Indicators 85, 190-203, 2018 | 50 | 2018 |
| Remote sensing in urban planning: Contributions towards ecologically sound policies? T Wellmann, A Lausch, E Andersson, S Knapp, C Cortinovis, J Jache, ... Landscape and Urban Planning 204, 103921, 2020 | 49 | 2020 |
| Front and back yard green analysis with subpixel vegetation fractions from earth observation data in a city D Haase, C Jänicke, T Wellmann Landscape and urban planning 182, 44-54, 2019 | 37 | 2019 |
| Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series T Wellmann, F Schug, D Haase, D Pflugmacher, S van der Linden Landscape and Urban Planning 202, 103857, 2020 | 28 | 2020 |
| Neighbourhood character affects the spatial extent and magnitude of the functional footprint of urban green infrastructure E Andersson, D Haase, S Scheuer, T Wellmann Landscape Ecology, 2020 | 13 | 2020 |
| Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting T Wellmann, A Lausch, S Scheuer, D Haase Ecological Indicators 111, 106029, 2020 | 10 | 2020 |
| Linking the remote sensing of geodiversity and traits relevant to biodiversity—Part II: Geomorphology, terrain and surfaces A Lausch, ME Schaepman, AK Skidmore, SC Truckenbrodt, JM Hacker, ... Remote sensing 12 (22), 3690, 2020 | 6 | 2020 |
| What are the traits of a social-ecological system: towards a framework in support of urban sustainability E Andersson, D Haase, P Anderson, C Cortinovis, J Goodness, D Kendal, ... npj Urban Sustainability 1 (1), 1-8, 2021 | 4 | 2021 |
| Integrating Quantity and Quality to Assess Urban Green Space Improvement in the Compact City S Chen, D Haase, B Xue, T Wellmann, S Qureshi Land 10 (12), 1367, 2021 | 2 | 2021 |
| A glimpse into the future of exposure and vulnerabilities in cities? Modelling of residential location choice of urban population with random forest S Scheuer, D Haase, A Haase, M Wolff, T Wellmann Natural Hazards and Earth System Sciences 21 (1), 203-217, 2021 | 1 | 2021 |
| Creating accessible evidence bases: Opportunities through the integration of interactive tools into literature review synthesis S Scheuer, J Jache, L Sumfleth, T Wellmann, D Haase MethodsX 8, 101558, 2021 | 1 | 2021 |
| Urban green fabric analysis promoting sustainable planning in Guatemala City F Castillo-Cabrera, T Wellmann, D Haase Land 10 (1), 18, 2020 | 1 | 2020 |
| Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics A Lausch, ME Schaepman, AK Skidmore, E Catana, L Bannehr, O Bastian, ... Remote Sensing 14 (9), 2279, 2022 | | 2022 |
| EcoSystem Integrity–Sensor/EO-Service (ESIS) for monitoring bio-geodiversity and human health by traits, remote sensing and data science approaches A Lausch, J Bumberger, P Dietrich, T Wellmann, N Kabisch, D Haase, ... AGU Fall Meeting 2021, 2021 | | 2021 |
| Outlining a semantics-based Sino- European UF-NBS typology; (Deliverable 1.1) H2020 project CLEARING HOUSE S Scheuer, J Jache, T Wellmann, Wolff, Manuel, D & Haase https://clearinghouseproject.eu/wp-content/uploads/2021/11 …, 2021 | | 2021 |
| Umweltgerechtigkeit aus bürgerschaftlicher Perspektive: Handlungsempfehlung am Beispiel Berlin-Schöneberg T Lessel, T Wellmann Stadt+Grün, 38 - 42, 2021 | | 2021 |
| A glimpse into the future of exposure and vulnerabilities in cities? Modelling of residential location choice of urban population with random forest S Scheuer, D Haase, A Haase, M Wolff, T Wellmann Natural Hazards and Earth System Sciences Discussions 2020, 1-27, 2020 | | 2020 |
| Modelling the distribution of 44 urban bird species using Earth observation based plant trait indicators and machine learning. T Wellmann, S Scheuer, A Lausch, D Haase Geophysical Research Abstracts 21, 2019 | | 2019 |
| Assessing trends in future exposure and vulnerability of population to natural hazards based on tacit knowledge and data mining techniques. S Scheuer, T Wellmann, D Haase, M Wolff, A Haase Geophysical Research Abstracts 21, 2019 | | 2019 |
| Modelling urban bird breeding ranges with remotely sensed heterogeneity in plant traits using a random forest T Wellmann, A Lausch, S Scheuerl, D Haase ICEI 2018: 10th International Conference on Ecological Informatics …, 2018 | | 2018 |
Dagmar HaaseProfessor of Landscape Ecology, Humboldt UniversityBestätigte E-Mail-Adresse bei ufz.de
