000724792 000__ 03617cam\a2200505\i\4500 000724792 001__ 724792 000724792 005__ 20230306140551.0 000724792 006__ m\\\\\o\\d\\\\\\\\ 000724792 007__ cr\cn\nnnunnun 000724792 008__ 141209t20152015sz\a\\\\ob\\\\001\0\eng\d 000724792 020__ $$a9783319131382$$qelectronic book 000724792 020__ $$a3319131389$$qelectronic book 000724792 020__ $$z9783319131375 000724792 0247_ $$a10.1007/978-3-319-13137-5$$2doi 000724792 035__ $$aSP(OCoLC)ocn897810399 000724792 035__ $$aSP(OCoLC)897810399 000724792 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dYDXCP$$dGW5XE$$dUPM$$dDKU$$dIDEBK 000724792 043__ $$ae-gx--- 000724792 049__ $$aISEA 000724792 050_4 $$aSD387.R4 000724792 08204 $$a634.9$$223 000724792 1001_ $$aAckermann, Nicolas,$$eauthor. 000724792 24510 $$aGrowing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery$$h[electronic resource] :$$bDoctoral Thesis accepted by Friedrich-Schiller University of Jena, Germany /$$cNicolas Ackermann. 000724792 264_1 $$aCham ;$$aHeidelberg ;$$aNew York ;$$aDordrecht ;$$aLondon :$$bSpringer,$$c[2015] 000724792 264_4 $$c©2015 000724792 300__ $$a1 online resource:$$billustrations. 000724792 336__ $$atext$$btxt$$2rdacontent 000724792 337__ $$acomputer$$bc$$2rdamedia 000724792 338__ $$aonline resource$$bcr$$2rdacarrier 000724792 4901_ $$aSpringer theses,$$x2190-5053 000724792 502__ $$bDoctoral$$cFriedrich-Schiller University of Jena$$d2015. 000724792 504__ $$aIncludes bibliographical references and index. 000724792 5050_ $$aIntroduction -- Literature Review -- Theory and Techniques -- Test Site, Data and Methods -- Results -- Conclusions -- Appendices. 000724792 506__ $$aAccess limited to authorized users. 000724792 520__ $$a"The PhD thesis written by Mr. Ackermann is an outstanding and in-depth scientific study that closes a research gap and paves the way to new developments. Despite the extremely complex issues, his work is very understandable and excellently elaborated." Prof. Dr. Christiane Schmullius ℗ℓ "The PhD thesis written by Mr. Ackermann is an excellent and very comprehensive work performed at the highest scientific level. It examines in detail the potential of SAR data with regards to the derivation of forest stem volume in the temperate latitudes. The work belongs to a technically complex field. Nevertheless, Mr. Ackermann has succeeded in presenting the content in a clear and understandable way." Dr. Christian Thiel ℗ℓ "The proposed document is overall of very good quality. Mr. Ackermann has done an exhaustive analysis of the in-situ data available on the Thuringian forest and was able to derive Growing Stocking Volume using L- and X-band spaceborne SAR data. The document is very well structured with a good split of information between the core of the text presented in the 6 chapters and the 4 annexes, which contain detailed results. Mr. Ackermannℓ́ℓs English grammar is excellent and his syntax is crystal clear, making his document pleasant to read. The way arguments are presented is logical and Mr. Ackermann gives a lot of attention to ensuring that sound explanations properly support these arguments." Dr. Maurice Borgeaud 000724792 650_0 $$aForests and forestry$$xRemote sensing. 000724792 650_0 $$aForest biomass. 000724792 650_0 $$aSAR 000724792 651_0 $$aThuringian Forest (Germany) 000724792 77608 $$iPrint version:$$aAckermann, Nicolas.$$tGrowing stock volume estimation in temperate forested areas using a fusion approach with sar ... satellites imagery$$z9783319131375$$w(OCoLC)893708656 000724792 830_0 $$aSpringer theses. 000724792 852__ $$bebk 000724792 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13138-2$$zOnline Access$$91397441.1 000724792 909CO $$ooai:library.usi.edu:724792$$pGLOBAL_SET 000724792 980__ $$aEBOOK 000724792 980__ $$aBIB 000724792 982__ $$aEbook 000724792 983__ $$aOnline 000724792 994__ $$a92$$bISE