Výsledky vyhledávání - "Liesenberg V"

Wood production from a Pinus taeda L. stand attacked by Sapajus nigritus

Autor: PERTILLE, C. T., OLIVEIRA, E. B. de, NICOLETTI, M. F., PICCINATTO FILHO, V., LIESENBERG, V., SCHIMALSKI, M. B.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

Made available in DSpace on 2022-08-11T16:19:22Z (GMT). No. of bitstreams: 1 AFS-2022-WoodProductionPinustaeda.pdf: 272777 bytes, checksum: 8f8d1c525a87b0737af34616bb11bda5 (MD5) Previous issue date: 2022

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::6bc3fec3753485a7b59b562aca509fa8
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1145389

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Akademický článek

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TRAINING in INNOVATIVE TECHNOLOGIES for CLOSE-RANGE SENSING in ALPINE TERRAIN-3RD EDITION

Autor: Rutzinger, M., Anders, K., Bremer, M., Höfle, Bernhard, Lindenbergh, Roderik C., Oude Elberink, S., Pirotti, F., Scaioni, M., Zieher, T., Paparoditis, N., Mallet, C., Lafarge, F., Kumar, S., Raju, P.L.N., Aggarwal, S.P., Reyes, S.R., Ustuner, M., Tsai, F., Liesenberg, V.

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 243-250 (2020)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43(B5)
ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, XLIII-B5-2020, 243-250

The 3rd edition of the international summer school “Close-range Sensing Techniques in Alpine terrain” took place in Obergurgl, Austria, in June 2019. This article reports on results from the training and seminar activities and the outcome of stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f95f2474ad962d0e445de039e7ff8f
http://hdl.handle.net/11311/1152128

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Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data

Autor: WIEDERKEHR, N. C., GAMA, F. F., CASTRO, P. B. N., BISPO, P. da C., BALZTER, H., SANO, E. E., SANTOS, J. R., LIESENBERG, V., MURA, J. C.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

We discriminated different successional forest stages, forest degradation, and land use classes in the Tapajós National Forest (TNF), located in the Central Brazilian Amazon. We used full polarimetric images from ALOS/PALSAR-2 that have not yet been

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::f3c9531c63b30a632feca140027e8f90
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1128151

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PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW and MULTI-MODAL FEATURE MATCHING TOOL for PHOTOGRAMMETRIC APPLICATIONS

Publikováno v: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43(B5), 213-219
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 213-219 (2020)

Automatic feature matching is a crucial step in Structure-from-Motion (SfM) applications for 3D reconstruction purposes. From an historical perspective we can say now that SIFT was the enabling technology that made SfM a successful and fully automate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb29258d0e62ced764aeb1ba9c3141e8
http://hdl.handle.net/11390/1191465

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