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Tytuł artykułu

Techniki teledetekcyjne w inwentaryzacji urządzeniowej lasu

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
EN
Remote sensing techniques in forest inventory
Języki publikacji
PL
Abstrakty
EN
In the paper, preliminary results of research are presented. The project was executed by the Forest Management and Monitoring Unit of the Forestry Research Institute in cooperation with the GIS and Remote Sensing Laboratory at the Forest Ecology Department of the Forestry Faculty at the Kraków Agricultural Academy and was commissioned by the Directorate General of State Forests. Analysis of current state of the issue as discussed in world literature, not including results of the research of the authors. of this paper, was ordered by Forest Management Unit of the Forestry Research Institute. The aim of this research is assessment of currently available information sources about forests (alternative to traditional ground measurements) from the point of view of their possible use in forest inventory. Different remotely sensed data were assessed, including high-resolution Quickbird satellite images, panchromatic 1:13.000 aerial photos, AISA hyperspectral scanner images, DGPS measurements and others selected materials. Possible use of these sources of information on tree stands was tested in summer 2003 and 2004 in Staszów forest district (Regional Directorate of State Forests Radom) and in Niepo3omice forest district (Regional Directorate of State Forests Kraków). Usefulness of the following techniques was proved: 1) DGPS receivers and aerial and satellite images (QuickBird and aerial photos) in updating delineation of any internal boundaries in forest complexes; 2) registered digital images for acquiring information on crown closure of certain types of tree stands, species composition, number of trees and their spatial pattern; 3) laser scanning for acquisition of accurate data on tree height and vertical architecture of tree stands and landform features; 4) remote sensed data for evaluation of tree health status and for monitoring its changes in subsequent years of implementation of economic plans of forest regions; 5) combination of the a/m techniques for creation of a numerical model of land surface. It is forecasted that with the development of radar and laser techniques it will be soon possible to acquire precise information on the wealth of tree stands. In the conclusions: 1) attention was drawn to: a) limitations and flaws of these techniques such as cloudless weather and appropriate vegetation period for aerial and satellite photos, b) high price of QuickBird and IKONOS satellite images, expecting at the same time promotional prices, when IKONOS satellite receiving station is opened in Komorów near Warsaw; c) too small group of specialists in the area of processing and interpretation of aerial and satellite images in Poland; 2) the need for wider than up till now application of remote sensing techniques for acquisition of information for forest inventory was emphasized, first of all due its objectivity and usually higher accuracy as compared to traditional forest inventory practices.
Czasopismo
Rocznik
Strony
41--50
Opis fizyczny
Bibliogr. 30 poz., rys.
Twórcy
  • Zakład Urządzania i Monitoringu Lasu, Instytut Badawczy Leśnictwa
autor
  • Laboratorium GIS, Katedra Ekologii Lasu, Wydział Leśny AR Kraków
Bibliografia
  • Andersen H.E., Reutebuch S.E., Schreuder G.F., 2001: Automated individual treemeasure-ment through morphological analysis of Lidar-based canopy surface model. Proc. 1st Int. Precision Forestry Coop. Symp., Seattle, ss. 11-22.
  • Bolduc P., Lowell K., Edwards G., 1999: Automated estimation of localized forest volume from large-scale aerial photographs and ancillary cartographic information in a boreal forest. International Journal of Remote Sensing, 20(18), ss. 3611-3624.
  • Carter G.A., Seal M.R., Haley T., 1998: Airborne detection of southern pine beetle damage using key spectral bands. Canadian Journal of Forest Research, 28(7), ss. 1040-1045.
  • Coops N.C., Culvenor D.C., Catling P.C., Preston R., 1998: Procedures for predicting habitat and structural attributes in eucalypt forests using high spatial resolution remotely sensed imagery. Australian Forestry, 61(4), ss. 244-252.
  • Dawson A., Gougeon F.A., 2000: Procedure for individual tree crown (ITC) analysis of an image. http://www.pfc.forestry.ca/profiles/gougeon/docs/ITC-Suite_Manual.pdf, ss. 25.
  • Dickson E., Franklin S.E., Moskal L.M., 1999: Monitoring of forest biodiversity using remote sensing: Forest stand (high spatial resolution) protocol and examples. Alberta Biodiv. Monitoring Prog. http://www.abmp.arc.ab.ca/chapter09.pdf, ss. 26
  • Gaveau D.L., Hill R.A., 2003: Quatifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data. Canadian Journal of Remote Sensing, 29, ss. 650-657.
  • Gougeon F.A., 2000: Towards semi-automatic forest inventories using individual tree crown (ITC) recognition. Technology Transfer Note. Forestry Research Applications. Pacific Forestry Centre. Nr 22, ss. 6.
  • Haara A., Nevalainen S., 2002: Detection of dead or defoliated spruces using digital aerial data. Forest Ecology and Management, 160, ss. 97-107.
  • Hallikainen J., Hyyppä J., Haapanen T., Tares P., Ahola J., Pulliainen M., Toikka M., 1993: A helicopter-borne eight-channel ranging scatterometer for remote sensing - Part I: system description, IEEE Trans. Geoscience and Remote Sensing, Vol 31, No 1, pp. 161-169.
  • Holmgren J., 2002: Estimation of forest variables using airborne laser scanning. Doct. Thesis. Swedish Univ. Agric. Sc., Umea, ss. 41.
  • Hui A., Liew S.C., Kwoh L.K., Hock L., 2000: Extraction and utilization of geometrical and contextual inforamtion in very high resolution IKONOS satellite imagery. Proc. 21th Asian Conf. Rem. Sens. Taipei, Vol. 1, ss. 158-163.
  • Hyyppae J., Kelle O., Lehikoinen M., Inkinen M., 2001: A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners. IEEE Transactions on Geoscience and Remote Sensing, 39(5), ss. 969-975.
  • King D.J., 2000: Airborne remote sensing in forestry: sensors, analysis and applications. Forestry Chronicle, 76(6) Spec. Issue on Rem. Sens., ss. 25-42.
  • Leckie D.G., Gougeon F.A., Hill D.A., Quinn L., Armstrong L., Shreenan R., 2003a: Combined high-density lidar and multispectral imagery for individual tree crown analysis. Canadian Journal of Remote Sensing, 29(5), ss. 633-649.
  • Leckie D.G., Gougeon F.A., Sturrock R.N., Paradine D., 2004: Detection and assessment of trees with Phellinus weirii (laminated root rot) using high resolution multi-spectral imagery. Canadian Journal of Remote Sensing, Online preview: http://taylorandfrancis.metapress.com/openurl.asp?genre=article&id=doi:10.1080/0143116031000139926
  • Leckie D.G., Gougeon F.A., Walsworth N., Paradine D., 2003b: Stand delineation and composition estimation using semi-automated individual tree crown analysis. Remote Sensing of Environment, 85, ss. 355-369.
  • Lefsky M.A., Cohen W.B., Parker G.G., Harding D.J., 2002: Lidar remote sensing for ecosystem studies. BioScience, 52(1), ss. 19-30.
  • Lefsky M.A., Harding D.J., Cohen W.B., Shugart H.H., 1999: Surface Lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. BioScience, 52(1), ss. 19-30.
  • Magnussen S., Boudewyn P., 1998: Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimators. Canadian Journal of Forest Research, 28(7), ss. 1016-1031.
  • Piekarski E., Będkowski K., 1991: Fotografia lotnicza jako źródło informacji o lesie ‒ fotogrametryczna taksacja drzewostanów i inwentaryzacja zapasu. [W:] Andrzejewski R. (red.): Metody oceny stanu i zmian zasobów leśnych. Wyd. SGGW-AR), ss. 105-118.
  • Popescu S.C., Wynne R.H., Nelson R.F., 2003: Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing, 25(5), ss. 564-577.
  • St-Onge B., Renaud A., 2001: Estimating merchantable timber volume of aspen and spruce stands of the boreal forest using airborne laser altimetry. Proc. 23rd Ann. Canad. Symp. on Rem. Sens., Quebec, ss. 6.
  • Szczygielski K., 2003: Pomiary metodą DGPS w zmieniających się warunkach drzewostanowych. Praca magisterska w Katedrze Ekologii Lasu. Wydział Leśny Akademii Rolniczej w Krakowie.
  • Wack R., Schardt M., 2004: Ableitung von Gelände- und Forstparametern mit Laserscannerdaten fur die Modellierung von Lawinenablgängen. Angewandte Geoinformatik 2004, Beiträge zum 16. AGIT-Symposium Salzburg. Wichmann, p. 754-759.
  • Wężyk P., de Kok R., Zajączkowski G., 2004: The role of statistical and structural texture analysis in VHR image analysis for forest applications. A case study on Quickbird data in the Niepolomice Forest. Angewandte Geoinformatik 2004, Beiträge zum 16. AGIT-Symposium Salzburg. Wichmann Verlag, p. 770-775.
  • Wężyk P., Kozioł K., Madejczyk A., 2001: Zakładanie sieci powierzchni monitoringowych w terenach leśnych metodą DGPS. I Krajowa Konferencja „System Informacji Przestrzennej w Lasach Państwowych” ‒ Rogów. Publikacja wydana na CD-R, 2001
  • Wynne R.H., Nelson R.F., Popescu S.C., 2002: Estimating plot-level tree heights with lidar: local filtering with canopy-height based variable window size. Computers and Electronics in Agriculture, 37, ss. 71-95.
  • Zajączkowski J., 2004: Możliwości określania wybranych charakterystyk koron pojedynczych drzew na zobrazowaniach lotniczych i satelitarnych w świetle literatury światowej.
  • Zawiła-Niedźwiedzki, T., Wiśniewska, E., Iracka, M., 2001: Zdjęcia lotnicze i satelitarne w leśnictwie. Mat. XI Konf. PTIP Systemy Inf. Przestrz., Warszawa, ss. 317-327.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW6-0010-0054
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