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  • 1
    Online Resource
    Online Resource
    Modelling top height growth and site index using repeated laser scanning data
    Elsevier BV ; 2017
    In:  Forest Ecology and Management Vol. 406 ( 2017-12), p. 307-317
    Details
    In: Forest Ecology and Management, Elsevier BV, Vol. 406 ( 2017-12), p. 307-317
    Type of Medium: Online Resource
    ISSN: 0378-1127
    URL: Article
    DOI: 10.1016/j.foreco.2017.09.039
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
    detail.hit.zdb_id: 2016648-5
    detail.hit.zdb_id: 751138-3
    SSG: 23
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Using Geobia and Data Fusion Approach for Land use and Land Cover Mapping
    Walter de Gruyter GmbH ; 2016
    In:  Quaestiones Geographicae Vol. 35, No. 1 ( 2016-3-1), p. 93-104
    Details
    In: Quaestiones Geographicae, Walter de Gruyter GmbH, Vol. 35, No. 1 ( 2016-3-1), p. 93-104
    Abstract: Land Use and Land Cover (LULC) maps play an important role in an environmental modelling, and for many years efforts have been made to improve and streamline the expensive mapping process. The aim of the study was to create LULC maps of three selected water catchment areas in South Poland using a Geographic Object-Based Image Analysis (GEOBIA) in order to highlight the advantages of this innovative, semi-automatic method of image analysis. the classification workflow included: multi-stage and multi-scale analyses based on a data fusion approach. Input data consisted mainly of BlackBridge (RapidEye) high resolution satellite imagery, although for distinguishing particular LULC classes, additional satellite images (LANDSAT TM5) and GIS-vector data were used. Accuracy assessment of GEOBIA classification results varied from 0.83 to 0.87 (kappa), depending on the specific catchment area. The main recognized advantages of GEOBIA in the case study were: performing of multi-stage and multi-scale image classification using different features for specific LULC classes and the ability to using knowledge-based classification in conjunction with the data fusion approach in an efficient and reliable manner.
    Type of Medium: Online Resource
    ISSN: 2081-6383
    URL: Article
    DOI: 10.1515/quageo-2016-0009
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2016
    detail.hit.zdb_id: 3100991-8
    detail.hit.zdb_id: 2690180-8
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  • 3
    Online Resource
    Online Resource
    An allometric area-based approach—a cost-effective method for stand volume estimation based on ALS and NFI data
    Oxford University Press (OUP) ; 2020
    In:  Forestry: An International Journal of Forest Research Vol. 93, No. 3 ( 2020-05-14), p. 344-358
    Details
    In: Forestry: An International Journal of Forest Research, Oxford University Press (OUP), Vol. 93, No. 3 ( 2020-05-14), p. 344-358
    Abstract: Reliable information concerning stand volume is fundamental to making strategic decisions in sustainable forest management. A variety of remotely sensed data and different inventory methods have been used for the estimation of forest biometric parameters. Particularly, airborne laser scanning (ALS) point clouds are widely used for the estimation of stand volume and forest biomass using an area-based approach (ABA) framework. This method relies on the reference measurements of field plots with the necessary prerequisite of a precise co-registration between ground reference plots and the corresponding ALS samples. In this research, the allometric area-based approach (AABA) is proposed in the context of stand volume estimation of Scots pine (Pinus sylvestris L.) stands. The proposed method does not require detailed information about the coordinates of the field plots. We applied Polish National Forest Inventory data from 9400 circular field plots (400 m2) to develop a plot level stand volume allometric model using two independent variables: top height (TH) and relative spacing index (RSI). The model was developed using the multiple linear regression method with a log–log transformation of variables. The hypothesis was that, the field measurements of TH and RSI could be replaced with corresponding ALS-derived metrics. It was assumed that TH could be represented by the maximum height of the ALS point cloud, while RSI can be calculated based on the number of tree crowns delineated within the ALS-derived canopy height model. Performance of the developed AABA model was compared with the semi-empirical ABASE (with two predictors: TH and RSI) and empirical ABAE (several point cloud metrics as predictors). The models were validated at the plot level using 315 forest management inventory plots (400 m2) and at the stand level using the complete field measurements from 42 Scots pine dominated forest stands in the Milicz forest district (Poland). The AABA model showed a comparable accuracy to the traditional ABA models with relatively high accuracy at the plot (relative root mean square error (RMSE) = 22.8 per cent; R2 = 0.63) and stand levels (RMSE = 17.8 per cent, R2 = 0.65). The proposed novel approach reduces time- and cost-consuming field work required for the classic ABA method, without a significant reduction in the accuracy of stand volume estimations. The AABA is potentially applicable in the context of forest management inventory without the necessity for field measurements at local scale. The transportability of the approach to other species and more complex stands needs to be explored in future studies.
    Type of Medium: Online Resource
    ISSN: 0015-752X , 1464-3626
    URL: Article
    DOI: 10.1093/forestry/cpz062
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 1466705-8
    SSG: 23
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  • 4
    Online Resource
    Online Resource
    Landscape monitoring of post-industrial areas using LiDAR and GIS technology
    Walter de Gruyter GmbH ; 2015
    In:  Geodesy and Cartography Vol. 64, No. 1 ( 2015-06-1), p. 125-137
    Details
    In: Geodesy and Cartography, Walter de Gruyter GmbH, Vol. 64, No. 1 ( 2015-06-1), p. 125-137
    Abstract: The quarrying industry is changing the local landscape, forming deep open pits and spoil heaps in close proximity to them, especially lignite mines. The impact can include toxic soil material (low pH, heavy metals, oxidations etc.) which is the basis for further reclamation and afforestation. Forests that stand on spoil heaps have very different growth conditions because of the relief (slope, aspect, wind and rainfall shadows, supply of solar energy, etc.) and type of soil that is deposited. Airborne laser scanning (ALS) technology deliver point clouds (XYZ) and derivatives as raster height models (DTM, DSM, nDSM=CHM) which allow the reception of selected 2D and 3D forest parameters (e.g. height, base of the crown, cover, density, volume, biomass, etc). The automation of ALS point cloud processing and integrating the results into GIS helps forest managers to take appropriate decisions on silvicultural treatments in areas with failed plantations (toxic soil, droughts on south-facing slopes; landslides, etc.) or as regular maintenance. The ISOK country-wide project ongoing in Poland will soon deliver ALS point cloud data which can be successfully used for the monitoring and management of many thousands of hectares of destroyed post-industrial areas which according to the law, have to be afforested and transferred back to the State Forest.
    Type of Medium: Online Resource
    ISSN: 2300-2581
    URL: Article
    DOI: 10.1515/geocart-2015-0010
    Language: Unknown
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2015
    detail.hit.zdb_id: 2802019-4
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  • 5
    Online Resource
    Online Resource
    Quantitative and Qualitative Assessment of Soil Erosion Risk in Małopolska (Poland), Supported by an Object-Based Analysis of High-Resolution Satellite Images
    Springer Science and Business Media LLC ; 2014
    In:  Pure and Applied Geophysics Vol. 171, No. 6 ( 2014-6), p. 867-895
    Details
    In: Pure and Applied Geophysics, Springer Science and Business Media LLC, Vol. 171, No. 6 ( 2014-6), p. 867-895
    Type of Medium: Online Resource
    ISSN: 0033-4553 , 1420-9136
    URL: Article
    DOI: 10.1007/s00024-013-0669-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2014
    detail.hit.zdb_id: 1464028-4
    detail.hit.zdb_id: 216719-0
    SSG: 16,13
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  • 6
    Online Resource
    Online Resource
    Modeling the Effect of Environmental and Topographic Variables Affecting the Height Increment of Norway Spruce Stands in Mountainous Conditions with the Use of LiDAR Data
    MDPI AG ; 2019
    In:  Remote Sensing Vol. 11, No. 20 ( 2019-10-17), p. 2407-
    Details
    In: Remote Sensing, MDPI AG, Vol. 11, No. 20 ( 2019-10-17), p. 2407-
    Abstract: Differing levels of humidity, sunlight exposure or temperature in different areas of mountain ranges are fundamental to the existence of particular vegetation types. A better understanding of even local variability of trees may bring significant benefits, not only economic, but most of all, nature-related. The main focus of this study was the analysis of relationships between increment in stand height, age and the natural topography in the examined area. Among others, the following were examined with regard to their influence on the growing process: age, altitude above sea level (m a.s.l.), aspect and slope, topographic wetness index (TWI), and topographic position index (TPI) generated from an airborne laser scanning (ALS)-derived elevation model. To precisely calculate forest growth dynamics in mountain conditions for different spruce stands, repeated airborne lidar measurements from 2007 and 2012 were used (with resolution respectively 4 and 6 pts./m2). Detailed information on every stand including species composition, share of individual species, as well as their age, were acquired from the State Forests IT System (SILP). It was proven in this study, that environmental and topographic variables may have an impact on forest growth dynamics on even closely located areas. Apart from the age, the greatest influence on tree growth has an altitude above sea level, aspect and slope. The highest height increment of spruce was observed in the stands of up to 30 years old, those that had grown at an altitude under 850 m a.s.l., on the slopes up to 15 degrees or on those which were on the northeastern exposure. The results obtained show that the physiology of species, even those that are well known, largely depends on local topographic conditions. The proven impact of different topography factors on the growth of spruce may be used while planning economic activities in precision forestry. Additional research with using multiple laser scanning in the context of other regions or other species may bring us better recognition of local growth conditions and in consequence, significantly better planning and higher revenues obtained from the sale of trees.
    Type of Medium: Online Resource
    ISSN: 2072-4292
    URL: Article
    DOI: 10.3390/rs11202407
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2513863-7
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