| Indicators for biodiversity in agricultural landscapes: a pan‐European study R Billeter, J Liira, D Bailey, R Bugter, P Arens, I Augenstein, S Aviron, ... Journal of Applied ecology 45 (1), 141-150, 2008 | 931 | 2008 |
| Applicability of landscape metrics for the monitoring of landscape change: issues of scale, resolution and interpretability A Lausch, F Herzog Ecological Indicators 2 (1), 3-15, 2002 | 682 | 2002 |
| Analysis of historic changes in regional ecosystem service provisioning using land use data S Lautenbach, C Kugel, A Lausch, R Seppelt Ecological indicators 11 (2), 676-687, 2011 | 402 | 2011 |
| Understanding and quantifying landscape structure–A review on relevant process characteristics, data models and landscape metrics A Lausch, T Blaschke, D Haase, F Herzog, RU Syrbe, L Tischendorf, ... Ecological Modelling 295, 31-41, 2015 | 385 | 2015 |
| Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions N Pettorelli, M Wegmann, A Skidmore, S Mücher, TP Dawson, ... Remote Sensing in Ecology and Conservation, 1-10, 2016 | 337 | 2016 |
| Native and alien plant species richness in relation to spatial heterogeneity on a regional scale in Germany K Deutschewitz, A Lausch, I Kühn, S Klotz Global Ecology and Biogeography 12 (4), 299-311, 2003 | 331 | 2003 |
| Landscape metrics for assessment of landscape destruction and rehabilitation F Herzog, A Lausch, E Müller, H Thulke, U Steinhardt, S Lehmann Environmental management 27 (1), 91-107, 2001 | 294 | 2001 |
| Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics A Lausch, S Erasmi, DJ King, P Magdon, M Heurich Remote Sensing 8 (12), 1029, 2016 | 243 | 2016 |
| Remote sensing in urban planning: Contributions towards ecologically sound policies? T Wellmann, A Lausch, E Andersson, S Knapp, C Cortinovis, J Jache, ... Landsc. Urban Plan., 2020 | 220 | 2020 |
| Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives A Lausch, L Bannehr, M Beckmann, C Boehm, H Feilhauer, JM Hacker, ... Ecological Indicators 70, 317-339, 2016 | 220 | 2016 |
| Satellite remote sensing to monitor species diversity: potential and pitfalls D Rocchini, DS Boyd, JB Féret, GM Foody, KS He, A Lausch, H Nagendra, ... Remote Sensing in Ecology and Conservation 2 (1), 25-36, 2016 | 220 | 2016 |
| 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 T Zhou, Y Geng, J Chen, J Pan, D Haase, A Lausch Sci. Total Environ 138244 (https://doi.org/10.1016/j.scitotenv.2020), 2020 | 211 | 2020 |
| 16 The Hemeroby Index for Landscape Monitoring and Evaluation U Steinhardt, F Herzog, A Lausch, E Müller, S Lehmann ENVIRONMENTAL INDICES: SYSTEMS ANALYSIS APPROACH-Volume I, 237, 2000 | 208 | 2000 |
| Priority list of biodiversity metrics to observe from space AK Skidmore, NC Coops, E Neinavaz, A Ali, ME Schaepman, M Paganini, ... Nature Ecology & Evolution, 2021 | 204 | 2021 |
| Understanding forest health with remote sensing - Part II - A review of approaches and data models. A Lausch, S Erasmi, DJ King, P Magdon, M Heurich Remote Sensing 9 (129), 2017 | 177 | 2017 |
| Factors affecting the spatio-temporal dispersion of Ips typographus (L.) in Bavarian Forest National Park: A long-term quantitative landscape-level analysis A Lausch, L Fahse, M Heurich Forest Ecology and Management 261 (2), 233-245, 2011 | 173 | 2011 |
| Supplementing land-use statistics with landscape metrics: some methodological considerations F Herzog, A Lausch Environmental monitoring and assessment 72, 37-50, 2001 | 173 | 2001 |
| Data mining and linked open data – A new perspective for data analysis in environmental research A Lausch, A Schmidt, L Tischendorf Ecological Modelling 295, 5-17, 2015 | 171 | 2015 |
| Forecasting potential bark beetle outbreaks based on spruce forest vitality using hyperspectral remote-sensing techniques at different scales A Lausch, M Heurich, D Gordalla, HJ Dobner, S Gwillym-Margianto, ... Forest Ecology and Management 308, 76-89, 2013 | 160 | 2013 |
| 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 T Zhou, Y Geng, C Ji, X Xu, H Wang, J Pan, J Bumberger, D Haase, ... Science of The Total Environment, 142661, 2021 | 159 | 2021 |
Dagmar HaaseProfessor of Landscape Ecology, Humboldt UniversityAdresse e-mail validée de ufz.de