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37篇 您的检索式:作者名="MALTAMO M"
    题名 作者 年代 出处 被引量
1Experiences and possibilities of ALS based forest inventory in Finland显示文摘MALTAMO M PACKALEN P PEUHKURINEN J 2007Remote Sensing and Spatial Information Sciences2007,,352:1
2The use of quantile trees in the prediction of the diameter distribution of a stand显示文摘Mehtatalo L Maltamo M Kangas A 2006Silva Fennica2006,40,3:1
3Estimation of Timber Volume and Stem Density based on Scanning Laser Altimetry and Expected Tree Size Distribution Functions显示文摘Maltamo M Eerikainen K Pitkanen J 2004Remote Sensing of Environment2004,90,3:1
4Identifying and Quantifying Structural Characteristics of Heterogeneous Boreal Forests Using Laser Scanner Data显示文摘Maltamo M Packalen P Yu X 2005Forest Ecology and Management2005,216,1:1
5The k-nearest-neighbour method for estimating basal-area diameter distribution显示文摘Haara A Maltamo M Tokola T 1997Scand J For Res1997,,12:1
6Identifying and quantifyingstructural characteristics of heterogeneous borealforests using laser scanner data显示文摘Maltamo M Packalen P Yu X 2005Forest Ecology andManagement2005,216,13:1
7The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve显示文摘MALTAMO M MUSTONEN K HYYPPA J etal 2004Canadian Jour- nal of Forest Research2004,34,17:1
8Methods based on k-nearest neighbor regression in the prediction of basal area diameter distribution显示文摘Maltamo M Kangas A 1998Canadian Journal of Forest Research1998,28,8:1
9Calibrating predicted diameter distribution with additional information显示文摘Kangas A Maltamo M 2000Forest Science2000,46,3:1
10Adaptive methods for individual tree detection on airborne laser based canopy height mod- el显示文摘Pitkanen J Maltamo M Hyyppa J 2004International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences2004,82,:1
11Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands显示文摘Maltamo M Kangas A Uuttera J 2000Forest Ecology and Management2000,133,3:1
12Calibrating predicted diameter distribution with additional information显示文摘Kangas A Maltamo M 2000For Sci2000,46,3:1
13Methods based on k-nearest neighbor regression in the prediction of basal area diameter distribution显示文摘Maltamo M Kangas A 1998Can J For Res1998,,28:1
14Comparison of field sampling methods for assessing coarse woody debris and use of airborne laser scanning as auxiliary information显示文摘Pesonen A Leino O Maltamo M 2009Forest Ecology and Management2009,257,:1
15Comparing basal-area diameter distributions estimated by tree species and for the entire growing stock in a mixed stand显示文摘Maltamo M 1997Silva Fenn1997,,31:1
16Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data显示文摘Maltamo M Packal6n P Yu X 2005Forest Ecology and Management2005,216,3:1
17Methods based on k-nearest neighbor regression in the prediction of basal area diameter distribution显示文摘MALTAMO M 1998Ecology1998,28,:1
18Use of the Weibull function in estimating the basal area DBH-distribution 显示文摘Kilkki P Maltamo M Mykkanen R 1989Silva Fennica1989,23,:1
19Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands显示文摘MALTAMO M KANGAS A UUTI'ERA J 2000Forest Ecology and Management2000,133,:1
20Predicting and calibrating diam- eter distributions of Eucalyptus grandis (Hill) Maiden plantations in Zimbabwe 显示文摘Mabvurira D Maltamo M Kangas A 2002New Forests2002,23,3:1
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