Publikationen

2022

  • Frantz D, Hostert P, Rufin P, Ernst S, Röder A, van der Linden S (2022) Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics. Remote Sensing, 14, 597. DOI: 10.3390/rs14030597.

2021

  • Arasumani M, Singh A, Bunyan M, Robin V V (2021) Testing the efficacy of hyperspectral (AVIRIS-NG), multispectral (Sentinel-2) and radar (Sentinel-1) remote sensing images to detect native and invasive non-native trees. Biol Invasions. DOI: 10.1007/s10530-021-02543-2
  • Arasumani M, Bunyan M, Robin V V (2021) Opportunities and challenges in using remote sensing for invasive tree species management, and in the identification of restoration sites in tropical montane grasslands. Journal of the Environment. DOI: 10.1016/j.jenvman.2020.111759.
  • Cooper S, Okujeni A, Pflugmacher D, van der Linden S, Hostert P (2021) Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping. International Journal of Applied Earth Observation and Geoinformation, 102307. DOI: 10.1016/j.jag.2021.102307.
  • Frantz D, Schug F, Okujeni A, Navacchi C, Wagner W, van der Linden S, Hostert P (2021) National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote sensing of environment, 112128. DOI: 10.1016/j.rse.2020.112128.
  • Haberl H, Wiedenhofer D, Schug F, Frantz D, Virág D, Plutzar C, Gruhler K, Lederer J, Schiller G, Fishman T, Lanau M, Gattringer A, Kemper T, Liu G, Tanikawa H, van der Linden S, Hostert P (2021) High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany. Environmental science & technology, 5, 3368–3379. DOI: 10.1021/acs.est.0c05642.
  • Kreyling J, Tanneberger F, Jansen, F, van der Linden S, Aggenbach C, Blüml V, Couwenberg J, Emsens W-J, Joosten H, Klimkowska A, Kotowski, W, Kozub L, Lennartz B, Liczner Y, Liu H, Michaelis D, Oehmke C, Parakenings K, Pleyl E, Poyda A, Raabe S, Röhl M, Rücker K, Schneider A, Schrautzer J, Schröder C, Schug F, Seeber E, Thiel F, Thiele S, Tiemeyer B, Timmermann T, Urich T, van Diggelen R, Vegelin K, Verbruggen E, Wilmking M, Wrage-Mönnig N, Wołejko L, Zak D, Jurasinski G (2021) Rewetting does not return drained fen peatlands to their old selves. Nature Communications, 1, 5693. DOI: 10.1038/s41467-021-25619-y.
  • Okujeni A, Jänicke C, Cooper S, Frantz D, Hostert P, Clark M, Segl K, van der Linden S (2021) Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data. Remote sensing of environment, 112558. DOI: 10.1016/j.rse.2021.112558.
  • Pham V-D, Bui Q-T (2021) Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network. Remote Sensing Letters, 12(7), 654-665. DOI: doi.org/10.1080/2150704X.2021.1918789.
  • Schug F, Frantz D, van der Linden S, Hostert P (2021) Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PloS one, 3, 1-23. DOI: 10.1371/journal.pone.0249044.

2020

  • Cooper S, Okujeni A, Jänicke C, Clark M, van der Linden S, Hostert P (2020) Disentangling fractional vegetation cover: Regression-based unmixing of simulated spaceborne imaging spectroscopy data. Remote sensing of environment, 111856. DOI: 10.1016/j.rse.2020.111856.
  • Jakimow B, van der Linden S, Thiel F, Frantz D, Hostert P (2020) Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer. Environmental Modelling & Software, 104631. DOI: 10.1016/j.envsoft.2020.104631.
  • Jänicke C, Okujeni A, Cooper S, Clark M, Hostert P, van der Linden S (2020) Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California. Remote Sensing Letters, 1, 1–10. DOI: 10.1080/2150704X.2019.1670518.
  • Lele A, Arasumani M, Vishundas C K, Joshi V, Jathanna D, Robin V V (2020) Elevation and landscape change drive the distribution of a montane, endemic grassland bird. Ecology and evolution, 14, 775–7767.
  • Pham V-D, Nguyen Q-H, Nguyen H-D, Pham V-M, Vu V M, Bui Q-T (2020) Convolutional Neural Network—Optimized Moth Flame Algorithm for Shallow Landslide Susceptible Analysis. IEEE Access, 8. DOI: doi.org/10.1109/ACCESS.2020.2973415.
  • Pham V-D, Bui Q T, Nguyen Q H, Vo H A, Pham V M (2020) Application of Deep Learning Algorithm to Build an Automated Cloud Segmentation Model Based on Open Data Cube Framework. VNU Journal of Science: Earth and Environmental Sciences, 36(4). DOI: doi.org/10.25073/2588-1094/vnuees.4441.
  • Schug F, Frantz D, Okujeni A, van der Linden S, Hostert P (2020) Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data. Remote sensing of environment, 1–15. DOI: 10.1016/j.rse.2020.111810.
  • Senf C, Laštovička J, Okujeni A, Heurich M, van der Linden S (2020) A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data. Remote sensing of environment, 111691. DOI: 10.1016/j.rse.2020.111691.
  • Wellmann T, Schug F, Haase D, Pflugmacher D, van der Linden S (2020) Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series. Landscape and Urban Planning, 103857. DOI: 10.1016/j.landurbplan.2020.103857.

2019

  • Arasumani M, Khan D, Vishnudas C K, Muthukumar M, Bunyan M (2019) Invasion compounds an ecosystem-wide loss to afforestation in the tropical grasslands of the Shola Sky Islands. Biological Conservation, 203, 141–150. DOI: 10.1016/j.biocon.2018.12.019.

  • Priem F, Okujeni, van der Linden S, Canters F (2019) Comparing map-based and library-based training approaches for urban land-cover fraction mapping from Sentinel-2 imagery. International Journal of Applied Earth Observation and Geoinformation, 295–305. DOI: 10.1016/j.jag.2019.02.003.

  • van der Linden S, Okujeni A, Canters F, Degerickx J, Heiden U, Hostert P, Priem F, Somers B, Thiel F (2019) Imaging Spectroscopy of Urban Environments. Surveys in geophysics, 40, 471.488. DOI: 10.1007/s10712-018-9486-y.

2018

  • Arasumani M, Khan D, Das A, Lockwood I, Stewart R, Kiran R A, Muthukumar M, Robin V V (2018) Not seeing the grass for the trees: Timber plantations and agriculture shrink tropical montane grassland by two-thirds over four decades in the Palani Hills, a Western Ghats Sky Island. PloS one, 2, e0190003. DOI: 10.1371/journal.pone.0190003
  • Higginbottom T P, Symeonakis E, Meyer H, van der Linden S (2018) Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data. ISPRS Journal of Photogrammetry and Remote Sensing, 88–102. DOI: 10.1016/j.isprsjprs.2018.02.010.
  • Jakimow B, Griffiths P, van der Linden S, Hostert P (2018) Mapping pasture management in the Brazilian Amazon from dense Landsat time series. Remote sensing of environment, 453–468. DOI: 10.1016/j.rse.2017.10.009.
  • Leitão P J, Schwieder M, Pötzschner F, Pinto J R R, Teixeira A M C, Pedroni F, Sanchez M, Rogass C, van der Linden S, Bustamante M M C, Hostert P (2018) From sample to pixel: multi-scale remote sensing data for upscaling aboveground carbon data in heterogeneous landscapes. Ecosphere, 8, e02298. DOI: 10.1002/ecs2.2298.
  • Okujeni A, Canters F, Cooper S D, Degerickx J, Heiden U, Hostert P, Priem F, Roberts D A, Somers B, van der Linden S (2018) Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities. Remote sensing of environment, 482–496. DOI: 10.1016/j.rse.2018.07.011.
  • Schug F, Okujeni A, Hauer J, Hostert P, Nielsen J Ø, van der Linden S (2018) Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series. Remote sensing of environment, 217–228. DOI: 10.1016/j.rse.2018.03.022.
  • Suess S, van der Linden S, Okujeni A, Griffiths P, Leitão P J, Schwieder M, Hostert P (2018) Characterizing 32 years of shrub cover dynamics in southern Portugal using annual Landsat composites and machine learning regression modeling. Remote sensing of environment, 353–364. DOI: 10.1016/j.rse.2018.10.004.

2017

  • Degerickx J, Okujeni A, Iordache M-D, Hermy M, van der Linden S, Somers B (2017) A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover. Remote Sensing, 6, 1–24. DOI: 10.3390/rs9060565.
  • Feilhauer H, Somers B, van der Linden S (2017) Optical trait indicators for remote sensing of plant species composition: Predictive power and seasonal variability. Ecological Indicators, 825–833. DOI: 10.1016/j.ecolind.2016.11.003.
  • Göhler A, Trinh Thanh T, Hopf V, Kohler C, Hartleib J, Wuthiekanun V, Peacock S J, Limmathurotsakul D, Tuanyok A, Steinmetz I (2017) Multitarget Quantitative PCR Improves Detection and Predicts Cultivability of the Pathogen Burkholderia pseudomallei. Applied and environmental microbiology, 8. DOI: 10.1128/AEM.03212-16.
  • Okujeni A, van der Linden S, Suess S, Hostert P (2017) Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4, 1640–1650. DOI: 10.1109/JSTARS.2016.2634859.
  • Verdonck M-L, Okujeni A, van der Linden S, Demuzere M, de Wulf R, van Coillie F (2017) Influence of neighbourhood information on ‘Local Climate Zone’ mapping in heterogeneous cities. International Journal of Applied Earth Observation and Geoinformation, 102–113. DOI: 10.1016/j.jag.2017.05.017

2016

  • Endler M, Endler R, Wunderlich J, Bobertz B, Leipe T, Moros M, Jensen J B, Arz H W (2016) Geo-acoustic modelling of late and postglacial sedimentary units in the Baltic Sea and their acoustic visibility. Marine Geology, 86–101. DOI: 10.1016/j.margeo.2016.03.015.

2015

  • 2015
  • Endler M, Endler R, Bobertz B, Leipe T, Arz H W (2015) Linkage between acoustic parameters and seabed sediment properties in the south-western Baltic Sea. Geo-Marine Letters, 2, 145–160. DOI: 10.1007/s00367-015-0397-3.
  • Guanter L, Kaufmann H, Segl K, Foerster S, Rogass C, Chabrillat S, Kuester T, Hollstein André, Rossner G, Chlebek C, Straif C, Fischer S, Schrader S, Storch T, Heiden U, Mueller A, Bachmann M, Mühle H, Müller R, Habermeyer M, Ohndorf A, Hill J, Buddenbaum H, Hostert P, van der Linden S, Leitão P, Rabe A, Doerffer R, Krasemann H, Xi H, Mauser W, Hank T, Locherer M, Rast M, Staenz K, Sang B (2015) The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation. Remote Sensing, 7, 8830–8857. DOI: 10.3390/rs70708830.
  • Held M, Rabe A, Senf C, van der Linden S, Hostert P (2015) Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance. IEEE Geoscience and Remote Sensing Letters, 5, 983–987. DOI: 10.1109/LGRS.2014.2371242.
  • Leitão P, Schwieder M, Suess S, Okujeni A, Galvão L, van der Linden S, Hostert P (2015) Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP. Remote Sensing, 10, 13098–13119. DOI: 10.3390/rs71013098.
  • Leitão P J, Schwieder M, Suess S, Catry I, Milton E J, Moreira F, Osborne P E, Pinto M J, van der Linden S, Hostert P (2015) Mapping beta diversity from space: Sparse Generalised Dissimilarity Modelling (SGDM) for analysing high‐dimensional data. Methods in Ecology and Evolution, 7, 764–771. DOI: 10.1111/2041-210X.12378.
  • Mikoláš M, Svitok M, Tejkal M, Leitão P J, Morrissey R C, Svoboda M, Seedre M, Fontaine J B (2015) Evaluating forest management intensity on an umbrella species: Capercaillie persistence in central Europe. Forest Ecology and Management, 26–34. DOI: 10.1016/j.foreco.2015.07.001.
  • Okujeni A, van der Linden S, Hostert P (2015) Extending the vegetation–impervious–soil model using simulated EnMAP data and machine learning. Remote sensing of environment, 69–80. DOI: 10.1016/j.rse.2014.11.009.
  • Senf C, Leitão P J, Pflugmacher D, van der Linden S, Hostert P (2015) Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery. Remote sensing of environment, 527–536. DOI: 10.1016/j.rse.2014.10.018.
  • Suess S, van der Linden S, Okujeni A, Leitão P, Schwieder M, Hostert P (2015) Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data. Remote Sensing, 8, 10668–10688. DOI: 10.3390/rs70810668.
  • van der Linden S, Rabe A, Held M, Jakimow B, Leitão P, Okujeni A, Schwieder M, Suess S, Hostert P (2015) The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing. Remote Sensing, 9, 11249–11266. DOI: 10.3390/rs70911249.

2014

  • Okujeni A, van der Linden S, Jakimow B, Rabe A, Verrelst J, Hostert P (2014) A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover. Remote Sensing, 7, 6324–6346. DOI: 10.3390/rs6076324.

2013

  • Griffiths P, van der Linden S, Kuemmerle T, Hostert P (2013) A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 2088–2101. DOI: 10.1109/JSTARS.2012.2228167.
  • Heise B, Bobertz B, Tang C, Harff J, Di Z (2013) Surface Sediments of the Pearl River Estuary (South China Sea) – Spatial Distribution of Sedimentological / Geochemical Properties and Environmental Interpretation. Journal of Coastal Research, 34–48. DOI: 10.2112/SI_66_4.
  • Okujeni A, van der Linden S, Tits L, Somers B, Hostert P (2013) Support vector regression and synthetically mixed training data for quantifying urban land cover. Remote sensing of environment, 184–197. DOI: 10.1016/j.rse.2013.06.007.
  • Senf C, Pflugmacher D, van der Linden S, Hostert P (2013) Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series. Remote Sensing, 6, 2795–2812. DOI: 10.3390/rs5062795.
  • Zemmrich A, Schnittler M, Hartleib J, Busch M, Bobertz B, Zölitz R (2013) FloraGREIF – An Internet-Based Data Repository for Biogeographical Research in Mongolia. Folia Geobotanica, 4, 523–536. DOI: 10.1007/s12224-012-9149-6.

2012

  • Eide M, van der Linden S, Schween Jan H, Gerbig C, Neininger B, Brunet Y, Jarosz N, Traullé O, Geiss H, Rascher U (2012) Elucidating physiology of plant mediated exchange processes using airborne hyperspectral reflectance measurements in synopsis with eddy covariance data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 30, 1–10.
  • Hartleib J, Schnittler M, Rilke S, Zemmerich A, Bobertz B, Najmi U, Zölitz R, Starke S (2012) An Approach to the Virtual Flora of Mongolia – From a Data Repository to an Expert System. Erforschung biologischer Ressourcen der Mongolei,
  • Waske B, van der Linden S, Oldenburg C, Jakimow B, Rabe A, Hostert P (2012) imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests. Environmental Modelling & Software, 192–193. DOI: 10.1016/j.envsoft.2012.01.014.

2010

  • Damm A, Elbers J, Erler A, Gioli B, Hamdi K, Hutjes R, Kosvancova M, Meroni M, Miglietta F, Moersch A, Moreno J, Schickling A, Sonnenschein R, Udelhoven T, van der Linden S, Hostert P, Rascher U (2010) Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP). Global Change Biology, 1, 171–186. DOI: 10.1111/j.1365-2486.2009.01908.x.
  • Griffiths P, Hostert P, Gruebner O, van der Linden S (2010) Mapping megacity growth with multi-sensor data. Remote sensing of environment, 2, 426–439. DOI: 10.1016/j.rse.2009.09.012.
  • Heise B, Bobertz B, Harff J (2010) Classification of the Pearl River Estuary via Principal Component Analysis and Regionalisation. Journal of Coastal Research, 4, 769–779.
  • Schneevoigt N J, van der Linden S, Kellenberger T, Kääb A, Schrott L (2010) Object-oriented classification of alpine landforms from an ASTER scene and digital elevation data (Reintal, Bavarian Alps). Grazer Schriften der Geographie und Raumforschung, 45, 53–62.
  • Waske B, van der Linden S, Benediktsson J A, Rabe A, Hostert P (2010) Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 7, 2880–2889. DOI: 10.1109/TGRS.2010.2041784.

2009

  • Bobertz B, Harff J, Bohling B (2009) Parameterisation of clastic sediments including benthic structures. Journal for Marine Systems, 3-4, 371–381.
  • Gurung A B, Bokwa A, Chełmicki W, Elbakidze M, Hirschmugl M, Hostert P, Ibisch P, Kozak J, Kuemmerle T, Matei E, Ostapowicz K, Pociask-Karteczka J, Schmidt L, van der Linden S, Zebisch M (2009) Global Change Research in the Carpathian Mountain Region. Mountain Research and Development, 3, 282–288. DOI: 10.1659/mrd.1105.
  • Harff J E, Graf G, Bobertz B (2009) Dynamics of Natural and Anthropogene Sedimentation (DYNAS). Journal for Marine Systems, 3-4, 451.
  • Rascher U, Agati G, Alonso L, Cecchi G, Champagne S, Colombo R, Damm A, Daumard F, de Miguel E, Fernandez G, Franch B, Franke J, Gerbig C, Gioli B, Gómez J A, Goulas Y, Guanter L, Gutiérrez-de-la-Cámara Ó, Hamdi K, Hostert P, Jiménez M, Kosvancova M, Lognoli D, Meroni M, Miglietta F, Moersch A, Moreno J, Moya I, Neininger B, Okujeni A, Ounis A, Palombi L, Raimondi V, Schickling A, Sobrino J A, Stellmes M, Toci G, Toscano P, Udelhoven T, van der Linden S, Zaldei A (2009) CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands. Biogeosciences, 7, 1181–1198. DOI: 10.5194/bg-6-1181-2009.
  • van der Linden S, Hostert P. (2009) The influence of urban structures on impervious surface maps from airborne hyperspectral data. Remote sensing of environment, 11, 2298–2305. DOI: 10.1016/j.rse.2009.06.004.

2008

  • Koetz B, Morsdorf F, van der Linden S, Curt T, Allgöwer B (2008) Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data. Forest Ecology and Management, 3, 263–271. DOI: 10.1016/j.foreco.2008.04.025.
  • Kuemmerle T, Hostert P, Radeloff V C, van der Linden S, Perzanowski K, Kruhlov I (2008) Cross-border Comparison of Post-socialist Farmland Abandonment in the Carpathians. Ecosystems, 4, 614–628. DOI: 10.1007/s10021-008-9146-z.
  • Schneevoigt N J, van der Linden S, Thamm H-P, Schrott L (2008) Detecting Alpine landforms from remotely sensed imagery. A pilot study in the Bavarian Alps. Geomorphology, 1-2, 104–119. DOI: 10.1016/j.geomorph.2006.12.034.

2007

  • Langhans M, van der Linden S, Damm A, Hostert P (2007) The influence of didirectional reflectance in airborne hyperspectral data on spectral angle mapping and linear spectral mixture analysis. Proceedings 5th EARSeL Workshop on Imaging Spectroscopy.,
  • van der Linden S (2007) Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines. Journal of Applied Remote Sensing, 1, 13543. DOI: 10.1117/1.2813466.
  • Zettler M, Schiedeck D, Bobertz B (2007) Benthic biodiversity indices versus salinity gradient in the southern Baltic Sea. Marine Pollution Bulletin, 1-6, 258–270.

2005

  • Bobertz B, Kuhrts C, Harff J, Fennel W, Seifert T, Bohling B (2005) Sediment properties in the Western Baltic Sea for the use in sediment transport modelling. Journal of Coastal Research, 3, 588–597.
  • Bobertz B, Kuhrts C, Harff J, Fennel W, Seifert T, Bohling B (2005) Sediment Properties in the Western Baltic Sea for Use in Sediment Transport Modelling. Journal of Coastal Research, 588–597. DOI: 10.2112/04-705A.1.
  • Peine F, Bobertz B, Graf G (2005) Influence of the blue mussel Mytilus edulis (linnaeus) on the bottom roughness length (z 0) in the south-western Baltic Sea. Baltica, 1, 13.22.

2004

  • Bobertz B, Harff J (2004) Sediment facies and hydrodynamic setting: a study in the south western Baltic Sea. Ocean Dynamics, 1, 39–48.
  • Harff J, Bobertz B, Granitzki W, Lehmke W, Wehner K (2004) Sand and gravel deposits in the south-western Baltic Sea, their utilization and sustainable development.Zeitschrift für angewandte Geologie, Sonderband 2, 111-123.
  • Heise B, Bobertz B, Harff J (2004) A method to correlate granulometrical sediment parameters and hydrographical data. Die Küste, 165–186.

2003

  • Forster S, Bobertz B, Bohling B (2003) Permeability of Sands in the Coastal Areas of the Southern Baltic Sea: Mapping a Grain-size Related Sediment Property. Aquatic Geochemistry, 3, 171–190. DOI: 10.1023/B:AQUA.0000022953.52275.8b.

2002

  • Hartleib J (2002) Das Forst-GIS der Universität Greifswald. - Struktur und Funktionalität am Beispiel des „NSG Eldena”. Greifswalder Geographische Arbeiten, 23, 241–254.
  • Hartleib J (2002) Nachhaltige Forstbewirtschaftung auf der Basis Nachhaltige Forstwirtschaft auf Basis integrierter Geobasis- und Geofachdaten durch ein Forst-GIS. Kartographische Nachrichten, 6, 255–261.
  • Zölitz-Möller R, Hartleib J, Röber B, Sattler H (2002) Das EU-Projekt "Digital Historical Maps": 7727 Altkarten im Internet. Kartographische Nachrichten, 1, 13–19.
  • Billwitz K, Hartleib J, Wozel M (2001) Ein Bodenschutzkonzept als Beispiel für angewandte geoökologische Forschung. Greifswalder Geographische Arbeiten, 23, 277–296.

2001

  • Hartleib J (2001) Das Forst-GIS der Universität Greifswald. Struktur und Funktionalität an ausgewählten Beispielen des „NSG Eldena“ Greifswalder. Geographische Arbeiten, 23, 241–254.

1889

  • Kirmse S, Hartleib J (1989) Untersuchungen an 250 Nistkästen im Landschaftsschutzgebiet "Steiger" bei Erfurt in den Jahren 1984-1988. Erfurter Faunistische Informationen, 5, 79–93.