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Kenneweg, H. (1994) Forest condition and forest damages ? contribution of remote sensing to different inventory approaches. GeoJournal, 32 (1) 47-53 doi:10.1007/bf00806355

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Reference TypeJournal (article/letter/editorial)
TitleForest condition and forest damages ? contribution of remote sensing to different inventory approaches
JournalGeoJournal
AuthorsKenneweg, H.Author
Year1994 (January)Volume32
Issue1
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/bf00806355Search in ResearchGate
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Mindat Ref. ID980718Long-form Identifiermindat:1:5:980718:5
GUID0
Full ReferenceKenneweg, H. (1994) Forest condition and forest damages ? contribution of remote sensing to different inventory approaches. GeoJournal, 32 (1) 47-53 doi:10.1007/bf00806355
Plain TextKenneweg, H. (1994) Forest condition and forest damages ? contribution of remote sensing to different inventory approaches. GeoJournal, 32 (1) 47-53 doi:10.1007/bf00806355
In(1994, January) GeoJournal Vol. 32 (1) Springer Science and Business Media LLC

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Hildebrandt, G. (1990) Operational remote sensing for forest damages. ISPRS Journal of Photogrammetry and Remote Sensing, 45 (1) 55-56 doi:10.1016/0924-2716(90)90006-w
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Moskal, L. Monika, Zheng, Guang (2011) Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest. Remote Sensing, 4 (1). doi:10.3390/rs4010001
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Katila, Matti, Tomppo, Erkki (2001) Selecting estimation parameters for the Finnish multisource National Forest Inventory. Remote Sensing of Environment, 76 (1). 16-32 doi:10.1016/s0034-4257(00)00188-7
Tomppo, Erkki, Olsson, Håkan, Ståhl, Göran, Nilsson, Mats, Hagner, Olle, Katila, Matti (2008) Combining national forest inventory field plots and remote sensing data for forest databases. Remote Sensing of Environment, 112 (5). 1982-1999 doi:10.1016/j.rse.2007.03.032
R., Marsel Vagizov, P., Eugenie Istomin, L., Valerie Miheev, P., Artem Potapov, V., Natalya Yagotinceva (2021) Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data. Remote Sensing, 13 (20). doi:10.3390/rs13204092
 
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