XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/6: Agriculture, Ecosystems and Bio-Diversity]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: REGIONALIZATION OF AGRICULTURAL MANAGEMENT BY USING THE MULTI-DATA APPROACH (MDA) G. Bareth and G. Waldhoff

Document type:: Multivolume work

Structure type:: Chapter

land and grassland for a dairy farm region in southern Germany (in German with English summary). GIS 6/2001, pp. 40-45. Bareth, G., 2000. Emissions of Greenhouse Gases from Agriculture - Regional Presentation and Estimation for a dairy farm region by using GIS. (PhD thesis in German with English summary). Hohenheimer Bodenkundliche Studien 56. Bareth, G. and Andenedt, E., 2003: Okonomisch-Okologische Modellierung von klimarelevanten Emissionen aus der Landwirtschaft auf regionaler Ebene (Economic-ecological modeling of greenhouse gases from agriculture on regional level). Berichte über Landwirtschaft 81(1), pp.29-56. Bareth, G. and Yu, Z., 2005. Interfacing GIS with a process based agro-ecosystem model — case study North China Plain. Proceedings of the International Symposium on Spatio- temporal Modelling, Spatial Reasoning, Spatial Analysis, Data Mining and Data Fusion, Peking University, China, Vol. XXXVI, Part 2/W25, pp. 69-74. Bareth, G., Heincke, M., and Glatzel, S., 2001: Soil-land-use- system approach to estimate nitrous oxide emissions from agricultural soils. Nutrient Cycling in Agroecosystems 60, pp.219-234. Kersebaum, K.Ch., Hecker, J-M., Mirschel, W. and Wegehenkel, M., 2007. Modelling water and nutrient dynamics in soil-crop systems. Springer, Berlin Heidelberg New York. Klar, C.W., Fiener, P., Neuhaus, P., Lenz-Wiedemann, V.I.S., and Schneider K., 2008. Modelling of soil nitrogen dynamics within the decision support system DANUBIA. Ecological Modelling, 217(1-2): 181-196. Leip, A., Marchi, G., Koeble, R., Kempen, M., Britz, W., and Li, C. 2008. Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen and carbon losses from arable soils in Europe, Biogeosciences 5, pp.73-94. Lenz-Wiedemann, V.I.S., Klar, C.W., and Schneider, K., 2010. Development and test of a crop growth model for application within a Global Change decision support system. Ecological Modelling 221, pp. 314-329. Li, C., 2007. Modeling soil organic carbon sequestration potential with modeling approach. In: H. Tang, E. van Ranst and J. Qiu (eds.): Simulation of Soil Organic Carbon Storage and Changes in Agricultural Cropland in China and Its Impact on Food Security. China Meteorological Press. Li, C., Narayanan, V., and Harriss, R.C., 1996. Model estimates of nitrous oxide emissions from agricultural lands in the United States. Global Biogeochemical Cycles 10, pp.297-306. Neufeldt, H., Schafer, M., Angenendt, E., Li, C., Kaltschmitt, M., and Zeddies, J., 2006. Disaggregated greenhouse gas emission inventories from agriculture via a coupled economic- ecosystem model. Agriculture, Ecosystems and Environment 112, pp.233-240. Rohierse, A., 2004: Regionale Darstellung der Umwelt- belastungen durch klimarelevante Gase in der Agrarlandschaft Kraichgau - Das Boden-Landnutzungs-Informations-System für Treibhausgasemissionen (Regionali-zation of greenhouse gases for the ,,Kraichgau" — The Soil-Land use- Information System for Greenhouse Gases) (PhD thesis in German with English summary). University oh Hohenheim-Stuttgart. http://opus.ub.uni-hohenheim.de/volltexte/2004/48/ Rohierse, A. and Bareth, G., 2004. Integration of multitemporal remote sensing analyses in ATKIS for the disaggregation of the object type arable land (in German with English summary). GIS, 03/2004, pp. 35-41. Rohierse, A., Bareth, G., and Doluschitz, R., 2002: Regionale Darstellung der Umweltbelastung durch klimarelevante Gase am Beispiel des württembergischen Kraichgaus. Proceedings GIL 2002, 18.-20.09.2002, Dresden. Smith, W.N., Grant, B.B., Desjardins, R.L., Worth, D., Li, C., Boles, S.H., and Huffman, E.C., 2010. A tool to link agricultural activity data with the DNDC model to estimate GHG emission factor in Canada. Agriculture, Ecosystems and Environment 136, pp.301-309. Waldhoff, G. and Bareth, G., 2009. GIS- and RS-based land use and land cover analysis - case study Rur-Watershed, Germany. In: Lin, L, Xia, L., Kai L. and Xinchane, Z. (eds). Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses. Guangzhou, Guangdong, China. Proc. SPIE, Vol. 7146, 714626. doi:10.1117/12.813171 Waldhoff, G., Curdt, C., Hoffmeister, D. and Bareth, G., 2012. Analysis of multitemporal and multisensor sensing data for crop rotation mapping. Proceedings of the XXII Congress of the ISPRS, Melbourne, Australia, (accepted). Waldhoff, G., Curdt, C., Hoffmister, D. and Bareth, G., 2011. Spatio-temporal land use patterns for regional (agro-)ecosystem modelling. Proc. Int. Symposium on Remote Sensing and GIS methods for Change Detection and Spatio-Temporal Modelling (CDSM),15.-16.12.2011, Hong Kong, China. Wolf B., Kiese, R., Chen, W., Grote, R., Zheng, X., and Butterbach-Bahl, K., 2012: Modeling N,O emissions from steppe in Inner Mongolia, China, with consideration of spring thaw and grazing intensity. Plant and Soil 350(1-2):297-310. 6. ACKNOWLEDGEMENTS The case studies of the Württembergisches Allgäu and of the “Kraichgau” were investigated within the Graduiertenkolleg GRK 259 “Mitigation Strategies for the Emission of Greenhouse Gases and Environmentally Toxic Agents from Agriculture and Land Use“. The case study of the Rur- Watershed was investigated within the CRC TR 32 “Patterns in Soil-Vegetation-Atmosphere-Systems. Monitoring, Modelling and Data Assimilation”. All three projects were/are funded by the German Research Foundation (DFG). We thank the German Aerospace Center (DLR) for the provision of data from the RapidEye Science Archive and Geobasis NRW for the provision of the ATKIS-Basis-DLM. Additionally, we thank the Landwirtschaftskammer NRW for the supply of the ‘Feldblock’ data. Internat PAR KEY V Soil erc ABST] Partici] with g last de GIS a geogra space, These commi study - partici Arc G discus the ris analys erodib model the so manag map a comp:

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