LEADER 04044nam 22006615 450 001 9910299456403321 005 20200702052022.0 010 $a3-319-13138-9 024 7 $a10.1007/978-3-319-13138-2 035 $a(CKB)3710000000311774 035 $a(EBL)1968557 035 $a(SSID)ssj0001408077 035 $a(PQKBManifestationID)11876801 035 $a(PQKBTitleCode)TC0001408077 035 $a(PQKBWorkID)11346398 035 $a(PQKB)10071464 035 $a(DE-He213)978-3-319-13138-2 035 $a(MiAaPQ)EBC1968557 035 $a(PPN)183154126 035 $a(EXLCZ)993710000000311774 100 $a20141205d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGrowing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery /$fby Nicolas Ackermann 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (323 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by Friedrich-Schiller University of Jena, Germany." 311 $a3-319-13137-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Literature Review -- Theory and Techniques -- Test Site, Data and Methods -- Results -- Conclusions -- Appendices. 330 $a"The PhD thesis written by Mr. Ackermann is an outstanding and in-depth scientific study that closes a research gap and paves the way to new developments. Despite the extremely complex issues, his work is very understandable and excellently elaborated." Prof. Dr. Christiane Schmullius   "The PhD thesis written by Mr. Ackermann is an excellent and very comprehensive work performed at the highest scientific level. It examines in detail the potential of SAR data with regards to the derivation of forest stem volume in the temperate latitudes. The work belongs to a technically complex field. Nevertheless, Mr. Ackermann has succeeded in presenting the content in a clear and understandable way." Dr. Christian Thiel   "The proposed document is overall of very good quality. Mr. Ackermann has done an exhaustive analysis of the in-situ data available on the Thuringian forest and was able to derive Growing Stocking Volume using L- and X-band spaceborne SAR data. The document is very well structured with a good split of information between the core of the text presented in the 6 chapters and the 4 annexes, which contain detailed results. Mr. Ackermann?s English grammar is excellent and his syntax is crystal clear, making his document pleasant to read. The way arguments are presented is logical and Mr. Ackermann gives a lot of attention to ensuring that sound explanations properly support these arguments." Dr. Maurice Borgeaud. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aRemote sensing 606 $aForests and forestry 606 $aGeomorphology 606 $aRemote Sensing/Photogrammetry$3https://scigraph.springernature.com/ontologies/product-market-codes/J13010 606 $aForestry$3https://scigraph.springernature.com/ontologies/product-market-codes/L22008 606 $aGeomorphology$3https://scigraph.springernature.com/ontologies/product-market-codes/J16010 615 0$aRemote sensing. 615 0$aForests and forestry. 615 0$aGeomorphology. 615 14$aRemote Sensing/Photogrammetry. 615 24$aForestry. 615 24$aGeomorphology. 676 $a634.9 700 $aAckermann$b Nicolas$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063201 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299456403321 996 $aGrowing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery$92530922 997 $aUNINA