Literature

Aberle, H., 2017. Hyperspectral Remote Sensing and Field Measurements for Forest Characteristics - A Case Study in the Hainich National Park, Central Germany. Georg-August-Universität Göttingen. http://hdl.handle.net/11858/00-1735-0000-0023-3DD5-8

Aberle, H, Hovenbitzer, M., 2019. (E-)Lernen mit offenen Geo- und Fernerkundungsdaten. AGIT - Journal für Angewandte Informatik, 5-2019, 116-124. https://doi.org/10.14627/537669010

Ackermann, J., Adler, P., Engels, F., Hoffmann, K., Jütte, K., Rüffer, O., Sagischewski, H., Seitz, R., 2014. Forstliche Fernerkundung in den Bundesländern auf neuen Wegen. AFZ-Der Wald 9, 8–10.

Bannari, A., Morin, D., Bonn, F., Huete, A.R., 1995. A review of vegetation indices. Remote Sens. Rev. 13, 95–120. https://doi.org/10.1080/02757259509532298

Belward, A. S., Skøien, J. O., 2015. Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites. ISPRS J. Photogramm. Remote Sens. 103, 115–128. https://doi.org/10.1016/j.isprsjprs.2014.03.009

Boyd, D. S., Danson, F. M., 2005. Satellite remote sensing of forest resources. three decades of research development. Prog. Phys. Geogr. 29, 1–26. https://doi.org/10.1191/0309133305pp432ra

Einzmann, K., Immitzer, M., Böck, S., Bauer, O., Schmitt, A., Atzberger, C., 2017. Windthrow detection in european forests with very high-resolution optical data. Forests 8, 1–26. https://doi.org/10.3390/f8010021

Elatawneh, A., Wallner, A., Manakos, I., Schneider, T., Knoke, T., 2014. Forest cover database updates using multi-seasonal rapideye data-storm event assessment in the Bavarian Forest National Park. Forests 5, 1284–1303. https://doi.org/10.3390/f5061284

Ewald Fassnacht, F., Latifi, H., Stereńczak, K., Modzelewska, A., Lefsky, M., Waser, L. T., Straub, C., Ghosh, A., 2016. Review of studies on tree species classification from remotely sensed data. Remote Sens. Environ. 186, 64–87. https://doi.org/10.1016/j.rse.2016.08.013

Fagan, M., Defries, R., 2009. Measurement and Monitoring of the World’s Forests: A Review and Summary of Remote Sensing Technical Capability, 2009–2015, Resources for the Future. https://www.rff.org/documents/515/RFF-Rpt-Measurement20and20Monitoring_Final.pdf

Gardiner, B., Blennow, K., Carnus, J., Fleischer, P., Ingemarson, F., Landmann, G., Lindner, M., Marzano, M., Nicoll, B., Orazio, C., Peyron, J., Schelhaas, M., Schuck, A., Usbeck, T., 2010. Destructive Storms in European Forests: Past and Forthcoming Impacts. Final Rep. to Eur. Comm. - DG Environ. 138. https://doi.org/10.13140/RG.2.1.1420.4006

Heipke, C., 2017. Photogrammetrie und Fernerkundung - Handbuch der Geodäsie, herausgegeben von Willi Freeden und Reiner Rummel, 1st ed. Springer Spektrum, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47094-7

Henrich, V., Krauss, G., Götze, C., Sandow, C., 2012. Index DataBase - A database for remote sensing indices [WWW Document]. IDB - Entwicklung einer Datenbank für Fernerkundungsindizes. URL www.indexdatabase.de

Huete, A. R., 2012. Vegetation Indices, Remote Sensing and Forest Monitoring. Geogr. Compass 6, 513–532.

Jones, H. G., Vaughn, R. A., 2010. Remote Sensing of Vegetation. Principles, techniques and applications., 1st ed. Oxford University Press Inc., New York.

Kokaly, R. F., Clark, R. N., Swayze, G. A., Livo, K. E., Hoefen, T. M., Pearson, N. C., Wise, R. A., Benzel, W. M., Lowers, H. A., Driscoll, R. L., Klein, A. J., 2017. USGS Spectral Library Version 7: U.S. Geological Survey Data Series 1035. https://doi.org/https://doi.org/10.3133/ds1035

Landgrebe, D. A., 1997. The evolution of Landsat data analysis. Photogramm. Eng. Rem. S. 7, 859–867.

Lausch, A., Erasmi, S., King, D.J., Magdon, P., Heurich, M., 2016. Understanding forest health with remote sensing-Part I-A review of spectral traits, processes and remote-sensing characteristics. Remote Sens. 8, 1–44. https://doi.org/10.3390/rs8121029

Pause, M., Schweitzer, C., Rosenthal, M., Keuck, V., Bumberger, J., Dietrich, P., Heurich, M., Jung, A., Lausch, A., 2016. In situ/remote sensing integration to assess forest health-a review. Remote Sens. 8, 1–21. https://doi.org/10.3390/rs8060471

Remelgado, R., Notarnicola, C., Sonnenschein, R., 2014. Forest damage assessment using SAR and optical data: Evaluating the potential for rapid mapping in mountains. EARSeL eProceedings, Spec. Issue 34th EARSeL Symp. 2014 34, 76–81. https://doi.org/10.12760/02-2014-1-14

Romijn, E., Lantican, C. B., Herold, M., Lindquist, E., Ochieng, R., Wijaya, A., Murdiyarso, D., Verchot, L., 2015. Assessing change in national forest monitoring capacities of 99 tropical countries. For. Ecol. Manage. 352, 109–123. https://doi.org/10.1016/j.foreco.2015.06.003

Rouse, J. W., Haas, R. H., Scheel, J. A., Deering, D. W., 1974. Monitoring Vegetation Systems in the Great Plains with ERTS. Earth Resources Technology Satellite-1 Symposium- Volume I: Technical Presentations. pp. 309–317.

Schelhaas, M.-J., 2008. Impacts of Natural Disturbances on the Development of European Forest Resources: Application of Model Approaches from Tree and Stand Levels to Large-scale Scenarios. http://library.wur.nl/WebQuery/wurpubs/fulltext/146827

Schwarz, M., Steinmeier, C., Holecz, F., Stebler, O., Wagner, H., 2003. Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods. Scand. J. For. Res. 18, 525–536. https://doi.org/10.1080/02827580310018023

Seitz, R., Straub, C., 2017. FastResponse - die schnelle Antwort nach dem Sturm. LWF Aktuell 4, 14–16. https://www.lwf.bayern.de/mam/cms04/informationstechnologie/dateien/a115_fast_response_seitz.pdf

Steinmeier, C., Schwarz, M., Holecz, F., Stebler, O., Wagner, H., 2002. Evaluation moderner Fernerkundungsmethoden zur Sturmschadenerkennung im Wald. Eidg. Forschungsanstalt WSL, Birmensdorf. https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A10317/datastream/PDF/Steinmeier-2002-Evaluation_moderner_Fernerkundungsmethoden_zur_Sturmschadenerkennung-%28published_version%29.pdf

Thomas, V., 2012. Hyperspectral remote sensing for forest management. Thenkabail, P., Lyon, J.G., Huete, A. (Eds.), Hyperspectral Remote Sensing of Vegetation. CRC Press, Taylor & Francis Group, Boca Raton, p. 705.

Tietz, R., 2018. Zugang zu Grünflächen in Großstädten – Eignung von OSM-Daten dargestellt an den Beispielen Dresden und Karlsruhe. AGIT ‒ Journal für Angewandte Geoinformatik 4, 338–347. https://doi.org/10.14627/537647043

Text-books

Albertz, J., 2009. Einführung in die Fernerkundung. Grundlagen der Interpretation von Luft- und Satellitenbildern, 4th ed. Wissenschaftliche Buchgesellschaft.

Jensen, J.R., 2007. Remote sensing of the environment: an earth resource perspective, 2nd ed. Prentice Hall Inc., Upper Saddle, NJ.

Lillesand, T. M., Kiefer, R. W., Chipman, J. W., 2008. Remote sensing and image interpretation, 6th ed. Wiley-Blackwell, John Wiley & Sons, Hoboken, NJ.

Richards, J. A., 2013. Remote Sensing Digital Image Analysis: An Introduction. 5th ed., 494 S., Springer.

Web link collection

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