PD Dr. rer. nat. habil. S. Hese

PD Dr. rer. nat. habil. S. Hese
Friedrich-Schiller-Universität Jena
Friedrich-Schiller-Universität Jena
Lehrstuhl für Fernerkundung
Löbdergraben 32 - 07743 Jena
Tel.: 03641 948873
[email protected]
Publikationsliste: PD Dr. S. Hese (2014)
2014
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URBAN, M., M. VOLTERSEN, S. PÖCKING, S. HESE, M. HEROLD & C. SCHMULLIUS (2014): Multi-Scale Vegetation
and Water Body Mapping of the Northern Latitudes in Siberia with Optical Remote Sensing. – Book Chapter (in
Review).
WALDE, I., S. HESE, C. BERGER & C. SCHMULLIUS (2014): From Land Cover-Graphs to Urban
Structure Types. – International Journal of Geographical Information Science, 28 (3), pp. 584-609,
DOI: 10.1080/13658816.2013.865189.
2013
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Hese, S., Heyer, T., 2013. Rapid Flood Extend Modelling for Tsunami Devastated Coastal Areas,
ISPRS Journal of Photogrammetry and Remote Sensing – Theme Special Issue: Integrated Imaging
and Sensor Fusion for Rapid Response and Monitoring Applications (in review).
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Walde, I.; Hese, S.; Berger, C.; Schmullius, C. 2013. Vom Satellitenbild zu Stadtstrukturtypen: Wie
Graphen die Flächennutzung charakterisieren. IÖR-Schriften: Flächennutzungsmonitoring V,
Rhombos-Verlag, pp. 143-´151.
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Bach, E., B. Fröhlich, I. Walde, S. Hese & C. Schmullius, 2013. Landbedeckungs-klassifikation von
Satellitenaufnahmen unter Verwendung von Kontextinformation mit minimaler menschlicher
Interaktion. Proceedings of the Tri-National Conference 2013 of the Swiss, Austrian and German
Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF), 27.2.-1.3.2013,
Freiburg, Germany.
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S. Hese. H.-J. Fischer, 2013. Large Scale Multi Seasonal Land Cover Mapping in the South Siberian
Kulunda Steppe with RapidEye data, RapidEye Science Archive (RESA) – Vom Algorithmus zum
Produkt, Borg, Daedelow, Johnson (Hrsg.), 5. RESA Workshop, ISBN 978-3-942183-61-1.
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Fröhlich, B., E. Bach, I. Walde, S. Hese, C. Schmullius & J. Denzler, 2013. Land cover classification
of satellite images using contextual information. ISPRS Ann. Photogramm. Remote Sens. Spatial
Inf. Sci., II-3/W1, 1-6, doi:10.5194/isprsannals-II-3-W1-1-2013.
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Urban, M., M. Forkel, C. Schmullius, S. Hese, C. Hüttich & M. Herold, 2013. Identification of Land
Surface Temperature and Albedo Trends in AVHRR Pathfinder data from 1982 to 2005 for northern
Siberia. – International Journal of Remote Sensing, 34, 12, 4491-4507.
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Walde, I., S. Hese, C. Berger & C. Schmullius, 2013. Graph based Mapping of Urban Structure
Types from High Resolution Satellite Image Objects - A case study of the German cities Rostock
and Erfurt. IEEE Geoscience and Remote Sensing Letters 10 (4), pp. 932–936, doi:
10.1109/LGRS.2013.2252323.
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Berger, C.; Voltersen, M.; Hese, S.; Walde, I.; Schmullius, C. 2013. Robust Extraction of Urban
Land Cover Information from HSR Multi-Spectral and LiDAR Data, IEEE Journal of Selected Topics in
Applied Earth Observations and Remote Sensing 6 (6), pp. 1–16, doi: 10.1109/ JSTARS.
2013.2252329.
2012
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Walde, I., S. Hese & C. Schmullius, 2012. Graph Based Mapping of Urban Structure Types from
High Resolution Satellite Image Objects. – Proceedings of Geobia 2012, 7-9 May 2012, Rio de
Janeiro, Brazil, 355-360.
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Walde, I., S. Hese, C. Berger & C. Schmullius, 2012. Graph-based Urban Land Use Mapping from
High Resolution Satellite Images. – Proceedings of XXII Congress of the International Society for
1
PD Dr. rer. nat. habil. S. Hese
Friedrich-Schiller-Universität Jena
Friedrich-Schiller-Universität Jena
Lehrstuhl für Fernerkundung
Löbdergraben 32 - 07743 Jena
Tel.: 03641 948873
[email protected]
Photogrammetry and Remote Sensing (ISPRS) Ann. Photogramm. Remote Sens. Spatial Inf. Sci. Vol.
I-4, Melbourne, AUS, 119-124. (doi:10.5194/isprsannals-I-4-119-2012).
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Hese, S., 2012. Contextual and Infrastructure linked Spectral Oilspill Mapping in West Siberia, RESA
ID 472 – Extended Summary, in: RapidEye Science Archive (RESA) – Vom Algorithmus zum Produkt,
Borg, Daedelow, Johnson (Hrsg.), 4. RESA Workshop, ISBN 978-3-942183-61-1.
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Hese, S., M. Voltersen & M. Urban, 2012. High Resolution Land Cover Mapping and Arctic
Thermokarst Lake Change Monitoring in the DUE Permafrost Project, Project ID 275/344, full Review
Workshop Report, in: RapidEye Science Archive (RESA) – Vom Algorithmus zum Produkt, Borg,
Daedelow, Johnson (Hrsg.), 4. RESA Workshop, ISBN 978-3-942183-61-1.
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Hese, S., 2012. Change Signature Analysis for Rapid Mapping Concepts of Tsunami Flooded Coastal
Areas, RESA ID 483 SENDAI Project, Extended Summary, in: RapidEye Science Archive (RESA) –
Vom Algorithmus zum Produkt, Borg, Daedelow, Johnson (Hrsg.), 4. RESA Workshop, ISBN 978-3942183-61-1.
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Hese, S. & M. Urban, 2012. Water Body and Tree Line Change Mapping, RESA Project ID 473,
in: RapidEye Science Archive (RESA) – Vom Algorithmus zum Produkt, Borg, Daedelow, Johnson
(Hrsg.), 4. RESA Workshop, ISBN 978-3-942183-61-1.
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Berger, C., S. Hese, M. Bindel & C. Schmullius, 2012. Evaluation of image fusion techniques to
combine high resolution SAR data and multispectral imagery at pixel level. ISPRS Journal of
Photogrammetry and Remote Sensing (in review).
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Berger, C., Voltersen, M., Hese, S., Walde, I. & Schmullius, C. 2012. Using geographic object-based
image analysis (GEOBIA) for land cover mapping and settlement density assessment. – Proceedings
of GEOBIA 2012, 7-9 May 2012, Rio de Janeiro, Brazil.
2011
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Berger, C., S. Hese & C. Schmullius, 2011. A proposal for (semi-) automatic mapping of urban
structure types (USTs) using remote sensing data and methods. 3rd Remote Sensing Symposium,
September 7–8, 2011, Wageningen, NL.
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Berger, C., S. Hese & C. Schmullius, 2011. Evaluation of image fusion techniques to combine high
resolution TerraSAR-X and multispectral RapidEye imagery. 4th EARSeL SIG Workshop on LULC,
June 1–3, 2011, Prague, CZE.
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Bindel, M., S. Hese, C. Berger & C. Schmullius, 2011. Evaluation of rededge spectral information for
biotope mapping using RapidEye. SPIE Remote Sensing, September 19–22, 2011, Prague, CZE,
http://dx.doi.org/10.1117/12.898007.
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Bindel, M., S. Hese, C. Berger & C. Schmullius, 2011. Feature selection from high resolution remote
sensing data for biotope mapping. Proc. of the ISPRS Workshop on High-Resolution Earth Imaging
for Geospatial Information, June 14–17, 2011, Hannover.
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Hese, S., Pöcking, S., Urban, M., Schmullius, C., 2011. Arctic vegetation Type mapping with
RapidEye data, DGPF Jahrestagung 2011.
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Hese, S., M. Lindner, M. Voltersen & C. Berger, 2011. TerraSAR-X and RapidEye data for the
parameterisation of relational characteristics of urban ATKIS DLM objects. Proceedings of the ISPRS
Workshop on High-Resolution Earth Imaging for Geospatial Information, June 14–17, 2011,
Hannover.
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Lindner, M., S. Hese, C. Berger & C. Schmullius, 2011. An object-based multisensoral approach for
the derivation of urban land use structures in the city of Rostock, Germany. Proceedings of SPIE
Remote Sensing, September 19–22, 2011, Prague, CZE.
2
PD Dr. rer. nat. habil. S. Hese
Friedrich-Schiller-Universität Jena
Friedrich-Schiller-Universität Jena
Lehrstuhl für Fernerkundung
Löbdergraben 32 - 07743 Jena
Tel.: 03641 948873
[email protected]
•
Lindner, M., S. Hese, C. Berger & C. Schmullius, 2011. An object-based multisensoral approach for
the derivation of urban land use structures in the city of Rostock, Germany. SPIE Remote Sensing,
September 19–22, 2011, Prague, CZE, http://dx.doi.org/10.1117/12.898134.
2010
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Banzhaf, E. & S. Hese, 2010. Socio-ecological implications in water stress and urban growth
modeling in Brasilia, Geo Öko 2010.
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Berger, C., S. Hese & C. Schmullius, 2010. Fusion of high resolution SAR data and multispectral
imagery at pixel level - A statistical comparison. Proceedings of the 2nd Joint European Association of
Remote Sensing Laboratories (EARSeL) Special Interest Groups (SIGs) Workshop, Ghent, Belgium,
September 22-24, 2010.
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Hese, S., G. Grosse & S. Pöcking, 2010. Object based thermokarst lake change mapping as part of
the ESA Data User Element (DUE) Permafrost, in: Addink, E.A. & F.M.B. Van Coillie (Eds). 2010.
GEOBIA 2010-Geographic Object-Based Image Analysis. Ghent University, Ghent, Belgium,
29 June - 2 July. ISPRS Vol.No. XXXVIII-4/C7, Archives ISSN No 1682-1777.
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Urban, M., S. Hese, M. Herold, S. Pöcking & C. Schmullius, 2010. Pan-Arctic Land cover mapping and
fire assessment for the ESA Data User Element, PFG Photogrammetrie, Fernerkundung und
Geoinformation, Special Issue, PFG 2010 / 4, 283-293.
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Urban, M., M. Herold, S. Hese, S. Pöcking & C. Schmullius, 2010. Synergistic Analysis of Coarse
Resolution Vegetation and Land Cover Data for Permafrost Monitoring. – Proceedings of the ESA
Living Planet Symposium, 28 June - 2 July 2010, Bergen, Norway.
2009
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Berger, C., S. Hese & C. Schmullius, 2009. Fusion of high resolution SAR data and multispectral
imagery for improved urban land cover characterization. Proceedings of the 3rd Workshop of the
European Association of Remote Sensing Laboratories (EARSeL) Special Interest Group (SIG) on
Land Use and Land Cover, Bonn, Germany, November 25-27, 2009.
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Reiche, J., S. Hese & C. Schmullius, 2009. An Object-Oriented Classification Method for the
Quantification of Terrestrial Oil Spill Contamination in West Siberia using High-Resolution Satellite
Data. – Proceedings of 33rd ISRSE, 4 – 8 May 2009, Stresa, Italy.
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Hese, S. & C. Schmullius, 2009. Concepts for Thermokarst Lake Change Analysis in Siberia using
Multitemporal VHR Data. – Proceedings of 33rd ISRSE, 4 – 8 May 2009, Stresa, Italy.
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Hilbert, C., M. Herold, S. Hese, C. Schullius & K. Jütte, 2009. Characterizing Forest Structure and
Height by Comparing ICESat/GLAS, Forest Inventory and Airborne Laser Data: A Case Study for a
Test Site in Mecklenburg-Vorpommern, Germany. – Proceedings of 33rd ISRSE, 4 – 8 May 2009,
Stresa, Italy.
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Steudel, T., S. Hese & C. Schmullius, 2009. Quantification of Lake Change in Western and Northern
Siberia using Landsat Data and Climatic Time Series Analysis. – Proceedings of 33rd ISRSE,
4 – 8 May 2009, Stresa, Italy.
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S. Hese & C. Schmullius, 2009. High spatial resolution image object classification for terrestrial oil
spill contamination mapping in West Siberia, International Journal of Applied Earth Observation and
Geoinformation, Volume 11, Issue 2, April 2009, Pages 130-141, ISSN 0303-2434,
DOI: 10.1016/j.jag.2008.12.002.
2008
3
PD Dr. rer. nat. habil. S. Hese
Friedrich-Schiller-Universität Jena
Friedrich-Schiller-Universität Jena
Lehrstuhl für Fernerkundung
Löbdergraben 32 - 07743 Jena
Tel.: 03641 948873
[email protected]
•
Hese, S., 2008. Structural Image Classification for Oil Spill Contamination Mapping in West Siberia
using Quickbird Data, EARSeL Joint Workshop Bochum 5.-7.3.2008, Remote Sensing – New
Challenges of High Resolution, conference proceedings.
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Hese, S., 2008. Strategies for Object-Oriented Thermokarst Lake Change Analysis in Siberia using
very High Resolution Satellite Data, Digital Earth Summit on Geoinformatics: Tools for Global Change
Research, 12.-14.11.2008, conference proceedings.
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Hese, S. & C. Schmullius, 2008. Object oriented oil spill contamination mapping in West Siberia with
Quickbird data, in: Object Based Image Analysis - Spatial Concepts for Knowledge-Driven Remote
Sensing Applications Series: Lecture Notes in Geoinformation and Cartography Blaschke, Thomas;
Lang, Stefan; Hay, Goeffrey J. (Eds.) 2008, ISBN: 978-3-540-77057-2.
Earlier than 2008:
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Hese, S. & C. Schmullius, 2007. Classification of Image Structure and Context for Mapping of
Terrestrial Crude Oil Contaminations, Proceedings of the Tri-National Conference 2007 of the Swiss,
Austrian and German Society for Photogrammetry and Remote Sensing, 19.-21.06.2007,
Basel/Switzerland.
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Reiche, J., S. Hese & C. Schmullius, 2007. Objektorientierte Klassifikation terrestrischer
Ölverschmutzungen mittels hochauflösender Satellitendaten in West Sibirien, PFG Photogrammetrie,
Fernerkundung, Geoinformation 4/2007, S. 275-287.
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Hese, S. & C. Schmullius, 2006. Oilspill Detection using object oriented image processing with
Quickbird data in West-Siberia, OBIA, Object Oriented Image Analysis Conference, Salzburg 2006,
conference proceedings.
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Hese, S. & C. Schmullius, 2006. Object Context Classification for Advanced Forest Change
Classification Strategies, OBIA, Object Oriented Image Analysis Conference, Salzburg 2006,
conference proceedings.
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Hese, S., C. Schmullius & R. Gerlach, 2006. The Siberian Earth System Science Cluster (SIB-ESS-C),
GGRS - Göttingen GIS & Remote Sensing Days 2006, Conference Proceedings.
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Hese, S. & C. Schmullius, 2006. High Resolution Oil Spill Mapping in West Siberia, Geomonitoring in
der Energie- und Rohstoffwirtschaft, workshop proceedings, Universität Freiberg, 21-22.6.2006.
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Hese, S. & C. Schmullius, 2006. OSCaR – Oil Spill Contamination Mapping in Russia using Quickbird
Data, angenommen bei: GGRS – Göttingen Remote Sensing Days 2006, Conference Proceedings.
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Hese, S. & C. Schmullius, 2005. Disturbance and Forest Cover Change Mapping in Siberia,
International Symposium on "The Symptom of Environmental Change in Siberian Permafrost
Region", Sapporo, Japan, JSPS Core to Core Program, 29-30. November 2005.
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Schmullius, C., C. Beer, R. Gerlach, S. Hese, D. Knorr, M. Santoro, L. Skinner & A. Luckman, 2005.
SIBERIA-II Land Cover Products for Greenhouse Gas Accounting of Northern Eurasia, ForestSAT
Conference, Umea, Sweden 2005.
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Hese, S. & C. Schmullius, 2005. Object Oriented Deforestation Mapping in Siberia - Results from the
SIBERIA-II Project, DGPF Jahrestagung 2005, Rostock.
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Hese, S. & C. Schmullius, 2005. Forest Cover Change in Siberia – Results from the Siberia-II Project,
Proceedings of the ISRSE (International Symposium on Remote Sensing of Environment),
St. Petersburg, Russia.
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Hese, S. & W. Lucht, C. Schmullius, M. Barnsley, R. Dubayah, D. Knorr, K. Neumann, T. Riedel &
K. Schroter, 2005. Global biomass mapping for an improved understanding of the CO2 balance - the
Earth observation mission Carbon-3D, Remote Sensing of Environment, Vol. 94, Issue 1, pp 94-104.
4
PD Dr. rer. nat. habil. S. Hese
Friedrich-Schiller-Universität Jena
Friedrich-Schiller-Universität Jena
Lehrstuhl für Fernerkundung
Löbdergraben 32 - 07743 Jena
Tel.: 03641 948873
[email protected]
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Santoro, M., H. Balzter, C. T. George, F. Gerard, S. Hese, M. Roscher, C. Rowland & C. Schmullius,
2004. SIBERIA-II: Monitoring forest cover changes in Siberia by means of spaceborne data,
Proceedings of ENVISAT Symposium, Salzburg, 6-10 September, in press, 2004.
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Hese, S., C. Schmullius, R. Dubayah, W. Lucht & M. Barnsley, 2004. The Earth Observation Mission
Carbon-3D – a Synergetic Multisensor Approach to Global Biomass Mapping for an Improved
Understanding of the CO2 Balance, NATSCAN Conference Freiburg, Germany, proceedings of the
ISPRS working group VIII/2 “Laser-Scanners for Forest and Landscape Assessment”, October, 3-6
2004.
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Hese, S. & L. Skinner, 2004. Afforestation, Reforestation and Deforestation Mapping in Siberia using
Object Oriented Change Detection Methods, IGARSS 2004 Fairbanks, Alaska.
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Schmullius, C., S. Hese & W. Lucht, 2004. Carbon-3D – an International Earth Observation Mission
for Global Biomass Mapping for an Improved Understanding of the CO2 Balance,
PFG Photogrammetrie, Fernerkundung, Geoinformation, 2004/5.
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Hese, S. & C. Schmullius, 2004. Approaches to Kyoto Afforestation, Reforestation and Deforestation
Mapping in Siberia using Object Oriented Change Detection Methods, GGRS 1st Göttingen GIS and
Remote Sensing Days 2004, Göttingen, Germany.
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Schmullius, C., S. Hese, L. Skinner & A. Luckman, 2004. Investigations on Land Cover - An
Illustrative Example from the Siberia-II Project, PGM (Petermanns Geographische Mitteilungen), 148,
2004/1.
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Hese, S. & C. Schmullius, 2003b. A Neural Network Change Detection Approach for Analysis of
Afforestation, Reforestation and Deforestation Processes in Siberia, 23. Wissenschaftlich-Technische
Jahrestagung der DGPF, Band 12/2003, pp.195-201.
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Schmullius, C., S. Hese & D. Knorr, 2003. Siberia-II: A Multi-Sensor Approach for greenhouse Gas
Accounting in Northern Eurasia, PGM (Petermanns Geographische Mitteilungen), 147, 2003/6.
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Hese, S. & C. Schmullius, 2003a. Forest cover change detection in Siberia, ISPRS & EARSel Joint
Workshop " High Resolution Mapping from Space 2003" University Hannover, Workshop Proceedings.
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Hese S., H. Balzter & C. Schmullius, 2003. Afforestation, Re-, and Deforestation Monitoring in
Siberia – Accuracy Requirements and First Results, IGARSS Toulouse 2003.
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Santoro, M., C. Schmullius, L. Eriksson & S. Hese, 2002. The SIBERIA and SIBERIA-II projects: an
overview, SPIE Crete, 2002.
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Schmullius, C., S. Hese & SIBERIA-II Team, 2002. SIBERIA-II: Sensor Systems and Data Products
for Greenhouse Gas Accounting, S. Dech (Hrsg.) Tagungsband 19. DFD Nutzerseminar,
15-16. Oktober 2002, S. 173-180.
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Hese, S., C. Schmullius, H. Balzter, W. Cramer, F. Gerard, R. Kidd, T. LeToan, W. Lucht, A.
Luckman, I. McCallum, S. Nilsson, A. Petrocchi, S. Plummer, S. Quegan, A. Shvidenko, L. Skinner, S.
Venevsky, S. Voigt, W. Wagner, U. Wegmüller & A. Wiesmann, 2002. Sensor Systems and Data
Products in SIBERIA-II – a Multi-Sensor Approach for Full Greenhouse Gas Accounting in Siberia,
ForestSAT Conference 2002, Edinburgh, UK.
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Hese S., 2002. Stand density classification in airborne multi view angle data, ForestSAT Conference
2002, Edinburgh, UK.
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Schmullius, C. & S. Hese, 2002. SIBERIA-II - an International Multi-Sensor Remote Sensing Project
for Full Greenhouse Gas Accounting in the Boreal Region, DGPF Jahrestagung 2002.
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Hese, S. 2001. Entwicklung und Anwendung Geostatistischer Verfahren zur strukturellen
Klassifikation von Forstbeständen in sehr hochauflösenden Daten der HRSC-A, Dissertation, Online
Publikation TU-Berlin, Universitätsbibliothek.
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Hese, S., 2001. Structural classification of forest stands in very high resolution HRSC-A multi-angle
data using directional semivariogram signatures, Int.Airborne RS. Conf., Erim Int., San Francisco,
USA.
5
PD Dr. rer. nat. habil. S. Hese
Friedrich-Schiller-Universität Jena
Friedrich-Schiller-Universität Jena
Lehrstuhl für Fernerkundung
Löbdergraben 32 - 07743 Jena
Tel.: 03641 948873
[email protected]
•
Hese,
S.,
2001.
Klassifikation
von
Forstbestandsstruktur
in
sehr
hochauflösenden
Stereoscannerdaten durch direktionale Variogramme und Integration in das GIS “GRASS”
(Geographic Resources Analysis Support System), DGPF Jahrestagung Proccedings, 2001, Konstanz.
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Hese, S., 2001. Entwicklung und Anwendung neuer Methoden zur strukturellen Differenzierung von
Forstbeständen mit hochauflösenden Daten der HRSC-A, Materialien Umweltwissenschaften Vechta,
MUWV 2001.
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Hese, S., 2001. Segmentation of Forest Stands in very High Resolution Stereo Data, IGARSS 2001,
Sydney, Australia.
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Hese, S. & F. Lehmann, 2000. Comparison of digital surface models of HRSC-A and LASER scanner
for forest stand characteristics, IAPRS, Vol. 33, Amsterdam.
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Hoffmann, A., G. Smith, S. Hese & F. Lehmann, 1999. Die Klassifizierung hochauflösender Daten:
Ein per-parcel Ansatz mit Daten des digitalen Kamerasystems HRSC-A, DGPF Jahrestagungsband
1999, Essen.
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Hese, S., A. Hoffmann & F. Lehmann, 1999. Vergleich digitaler Waldoberflächenmodelle der HRSC-A
(High Resolution Stereo Camera - Airborne) mit Laserscanner Daten zur Bestimmung von
bestandesspezifischen Parametern. DGPF Jahrestagungsband 1999, Essen.
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Lehmann, F., T. Bucher, S. Hese, A. Hoffmann, S. Mayer, F. Oschütz & Y. Zhang, 1998. Kombination
von hyperspektralen HyMap-Daten und HRSC-A Multispektral und DGM-daten zur Validierung und
Nutzung in verschiedenen Anwendungsgebieten, DGPF Jahrestagung 1998, München.
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Lehmann, F., T. Bucher, S. Hese, A. Hoffmann, S. Mayer, F. Oschütz & Y. Zhang, 1998. Data Fusion
of HYMAP Hyperspectral with HRSC-A Multispectral Stereo and DTM Data, Remote Sensing Data
Validation and Application in different disciplines,1. EARSeL Workshop on Imaging Spectroscopy, RS
Laboratories, University of Zürich, Switzerland, 6-8 October.
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Hese, S., 1995. Forest Damage Assessment in the Black Triangle Area using Landsat TM, MSS and
Forest Inventory Data, Master of Science Thesis, Lund University, Gula Serie, Dept. Physical
Geography, Lund, Sweden.
6