Search Results - "Packalen, P."

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  1. 1

    Airborne laser scanning-based prediction of coarse woody debris volumes in a conservation area by Pesonen, A., Maltamo, M., Eerikäinen, K., Packalèn, P.

    Published in Forest ecology and management (15-05-2008)
    “…The importance of dead wood (coarse woody debris, CWD) for biodiversity in boreal forests is high that is mainly due to its role in nutrient cycling and…”
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    Journal Article
  2. 2

    Multifunctional comparison of different management strategies in boreal forests by Díaz-Yáñez, O, Pukkala, T, Packalen, P, Peltola, H

    Published in Forestry (London) (04-02-2020)
    “…Abstract In sustainable forestry, forests should produce multiple ecosystem services for society, such as timber, carbon sequestration and biodiversity…”
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  3. 3

    Forest structure as a determinant of grouse brood occurrence – An analysis linking LiDAR data with presence/absence field data by Melin, M., Mehtätalo, L., Miettinen, J., Tossavainen, S., Packalen, P.

    Published in Forest ecology and management (15-11-2016)
    “…•Vegetation structure is a key attribute of wildlife habitats.•Thus, forestry operations affect wildlife habitat quality.•We integrated lidar data with grouse…”
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  4. 4

    Comparative testing of single-tree detection algorithms under different types of forest by Vauhkonen, Jari, Ene, Liviu, Gupta, Sandeep, Heinzel, Johannes, Holmgren, Johan, Pitkänen, Juho, Solberg, Svein, Wang, Yunsheng, Weinacker, Holger, Hauglin, K. Marius, Lien, Vegard, Packalén, Petteri, Gobakken, Terje, Koch, Barbara, Næsset, Erik, Tokola, Timo, Maltamo, Matti

    Published in Forestry (London) (01-01-2012)
    “…Airborne laser scanning data and corresponding field data were acquired from boreal forests in Norway and Sweden, coniferous and broadleaved forests in Germany…”
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  5. 5

    Ecological dimensions of airborne laser scanning — Analyzing the role of forest structure in moose habitat use within a year by Melin, M., Matala, J., Mehtätalo, L., Pusenius, J., Packalen, P.

    Published in Remote sensing of environment (01-02-2016)
    “…During the last decade, Airborne Laser Scanning (ALS) data has been used increasingly in numerous studies to assess e.g. bird habitats and biodiversity, but…”
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  6. 6

    Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation by Maltamo, M, Mehtätalo, L, Valbuena, R, Vauhkonen, J, Packalen, P

    Published in Forestry (London) (01-01-2018)
    “…Abstract This study examines the potential of airborne laser scanning (ALS) to predict diameter distributions in an even-aged plantation of Eucalyptus…”
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  7. 7

    COMPARISON OF 3D POINT CLOUDS FROM AERIAL STEREO IMAGES AND LIDAR FOR FOREST CHANGE DETECTION by Ali-Sisto, D., Packalen, P.

    “…This study compares performance of aerial image based point clouds (IPCs) and light detection and ranging (LiDAR) based point clouds in detection of thinnings…”
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  8. 8

    Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images by Maltamo, Matti, Räty, J., Korhonen, L., Kotivuori, E., Kukkonen, M., Peltola, H., Kangas, J., Packalen, P.

    Published in European journal of remote sensing (01-01-2020)
    “…This study evaluated the suitability of different airborne laser scanning (ALS) datasets for the prediction of forest canopy fuel parameters in managed boreal…”
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  9. 9

    Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods by R. Valbuena, M. Maltamo, P. Packalen

    Published in Revista de teledetección (01-02-2016)
    “…The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the estimation of continuous variables…”
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  10. 10

    Estimation of stem volume using laser scanning-based canopy height metrics by Maltamo, M, Eerikäinen, K, Packalén, P, Hyyppä, J

    Published in Forestry (London) (01-04-2006)
    “…The aim of this study was to test different stem volume predictors that are capable of utilizing laser scanning-based canopy height metrics as independent…”
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  11. 11

    Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs by Niska, H., Skon, J.-P., Packalen, P., Tokola, T., Maltamo, M., Kolehmainen, M.

    “…Parametric and nonparametric modeling methods have been widely used for the estimation of forest attributes from airborne laser-scanning data and aerial…”
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  12. 12

    Comparison of basal area and stem frequency diameter distribution modelling using airborne laser scanner data and calibration estimation by Maltamo, M., Suvanto, A., Packalén, P.

    Published in Forest ecology and management (15-08-2007)
    “…The diameter distribution of a forest stand is of primary importance for deriving various stand characteristics, but measuring the diameters of a tree stock is…”
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  13. 13

    Recreating structurally realistic tree maps with airborne laser scanning and ground measurements by Kostensalo, J., Mehtätalo, L., Tuominen, S., Packalen, P., Myllymäki, M.

    Published in Remote sensing of environment (01-12-2023)
    “…The estimation of forest attributes representing aspects of structural biodiversity from vast areas is difficult not only because of the lack of agreement on…”
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  14. 14
  15. 15

    Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover by Melin, M., Korhonen, L., Kukkonen, M., Packalen, P.

    “…Canopy cover (CC) is a variable used to describe the status of forests and forested habitats, but also the variable used primarily to define what counts as a…”
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  16. 16

    The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs by Packalén, Petteri, Maltamo, Matti

    Published in Remote sensing of environment (15-08-2007)
    “…Various studies have been presented within the last 10 years on the possibilities for predicting forest variables such as stand volume and mean height by means…”
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  17. 17

    Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data by Maltamo, M., Packalén, P., Yu, X., Eerikäinen, K., Hyyppä, J., Pitkänen, J.

    Published in Forest ecology and management (12-09-2005)
    “…Structural characteristics of forest stands, e.g. in relation to carbon content and biodiversity, are of special interest. It has been stated in numerous…”
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  18. 18

    Effects of auxiliary data source and inventory unit size on the efficiency of sample-based coarse woody debris inventory by Pesonen, A., Kangas, A., Maltamo, M., Packalén, P.

    Published in Forest ecology and management (30-04-2010)
    “…The efficiency of a sample-based inventory can be greatly improved if lower cost information on the study area is utilized. It has been observed that the use…”
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  19. 19

    How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass? by Varvia, P., Korhonen, L., Bruguière, A., Toivonen, J., Packalen, P., Maltamo, M., Saarela, S., Popescu, S.C.

    Published in Remote sensing of environment (01-10-2022)
    “…The objective of this study was to explore the effects of (1) the presence/absence of snow and snow depth, (2) solar noise, i.e., day/night and sun angle…”
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  20. 20

    Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland by Maltamo, M, Packalén, P, Suvanto, A, Korhonen, K. T, Mehtätalo, L, Hyvönen, P

    Published in European journal of forest research (01-05-2009)
    “…Forest inventories based on airborne laser scanning (ALS) have already become common practice in the Nordic countries. One possibility for improving their cost…”
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