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  • 1
    Online Resource
    Online Resource
    Drivers of tropical forest loss between 2008 and 2019
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Data Vol. 9, No. 1 ( 2022-04-01)
    Details
    In: Scientific Data, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2022-04-01)
    Abstract: During December 2020, a crowdsourcing campaign to understand what has been driving tropical forest loss during the past decade was undertaken. For 2 weeks, 58 participants from several countries reviewed almost 115 K unique locations in the tropics, identifying drivers of forest loss (derived from the Global Forest Watch map) between 2008 and 2019. Previous studies have produced global maps of drivers of forest loss, but the current campaign increased the resolution and the sample size across the tropics to provide a more accurate mapping of crucial factors leading to forest loss. The data were collected using the Geo-Wiki platform ( www.geo-wiki.org ) where the participants were asked to select the predominant and secondary forest loss drivers amongst a list of potential factors indicating evidence of visible human impact such as roads, trails, or buildings. The data described here are openly available and can be employed to produce updated maps of tropical drivers of forest loss, which in turn can be used to support policy makers in their decision-making and inform the public.
    Type of Medium: Online Resource
    ISSN: 2052-4463
    URL: Article
    DOI: 10.1038/s41597-022-01227-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2775191-0
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  • 2
    Online Resource
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    A crowdsourced global data set for validating built-up surface layers
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Data Vol. 9, No. 1 ( 2022-01-20)
    Details
    In: Scientific Data, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2022-01-20)
    Abstract: Several global high-resolution built-up surface products have emerged over the last five years, taking full advantage of open sources of satellite data such as Landsat and Sentinel. However, these data sets require validation that is independent of the producers of these products. To fill this gap, we designed a validation sample set of 50 K locations using a stratified sampling approach independent of any existing global built-up surface products. We launched a crowdsourcing campaign using Geo-Wiki ( https://www.geo-wiki.org/ ) to visually interpret this sample set for built-up surfaces using very high-resolution satellite images as a source of reference data for labelling the samples, with a minimum of five validations per sample location. Data were collected for 10 m sub-pixels in an 80 × 80 m grid to allow for geo-registration errors as well as the application of different validation modes including exact pixel matching to majority or percentage agreement. The data set presented in this paper is suitable for the validation and inter-comparison of multiple products of built-up areas.
    Type of Medium: Online Resource
    ISSN: 2052-4463
    URL: Article
    DOI: 10.1038/s41597-021-01105-4
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2775191-0
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  • 3
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    Global forest management data for 2015 at a 100 m resolution
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Data Vol. 9, No. 1 ( 2022-05-10)
    Details
    In: Scientific Data, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2022-05-10)
    Abstract: Spatially explicit information on forest management at a global scale is critical for understanding the status of forests, for planning sustainable forest management and restoration, and conservation activities. Here, we produce the first reference data set and a prototype of a globally consistent forest management map with high spatial detail on the most prevalent forest management classes such as intact forests, managed forests with natural regeneration, planted forests, plantation forest (rotation up to 15 years), oil palm plantations, and agroforestry. We developed the reference dataset of 226 K unique locations through a series of expert and crowdsourcing campaigns using Geo-Wiki ( https://www.geo-wiki.org/ ). We then combined the reference samples with time series from PROBA-V satellite imagery to create a global wall-to-wall map of forest management at a 100 m resolution for the year 2015, with forest management class accuracies ranging from 58% to 80%. The reference data set and the map present the status of forest ecosystems and can be used for investigating the value of forests for species, ecosystems and their services.
    Type of Medium: Online Resource
    ISSN: 2052-4463
    URL: Article
    DOI: 10.1038/s41597-022-01332-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2775191-0
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  • 4
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    An indirect approach to predict deadwood biomass in forests of Ukrainian Polissya using Landsat images and terrestrial data
    Walter de Gruyter GmbH ; 2020
    In:  Forestry Studies Vol. 73, No. 1 ( 2020-12-01), p. 107-124
    Details
    In: Forestry Studies, Walter de Gruyter GmbH, Vol. 73, No. 1 ( 2020-12-01), p. 107-124
    Abstract: Spatially explicit and consistent mapping of forest biomass is one of the key tasks towards full and appropriate accounting of carbon budgets and productivity potentials at different scales. Landsat imagery coupled with terrestrial-based data and processed using modern machine learning techniques is a suitable data source for mapping of forest components such as deadwood. Using relationships between deadwood biomass and growing stock volume, here we indirectly map this ecosystem compartment within the study area in northern Ukraine. Several machine learning techniques were applied: Random Forest (RF) for the land cover and tree species classification task, k -Nearest Neighbours ( k -NN) and Gradient Boosting Machines (GBM) for the deadwood imputation purpose. Land cover (81.9%) and tree species classification (78.9%) were performed with a relatively high level of overall accuracy. Outputs of deadwood biomass mapping using k -NN and GBM matched quite well (8.4 ± 2.3 t·ha −1 (17% of the mean) vs. 8.1 ± 1.7 t·ha −1 (16% of the mean), respectively mean ± SD deadwood biomass stock), indicating a strong potential of ensemble boosters to predict forest biomass in a spatially explicit manner. The main challenges met in the study were related to the limitations of available ground-based data, thus showing the need for national statistical inventory implications in Ukraine.
    Type of Medium: Online Resource
    ISSN: 1736-8723
    URL: Article
    DOI: 10.2478/fsmu-2020-0018
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2020
    detail.hit.zdb_id: 2516148-9
    SSG: 23
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  • 5
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    UAV data collection parameters impact on accuracy of Scots pine stand mensuration
    National University of Life and Environmental Sciences of Ukraine ; 2023
    In:  Ukrainian Journal of Forest and Wood Science Vol. 14, No. 1 ( 2023-2-7)
    Details
    In: Ukrainian Journal of Forest and Wood Science, National University of Life and Environmental Sciences of Ukraine, Vol. 14, No. 1 ( 2023-2-7)
    Abstract: A wide range of UAV systems used for forest research requires unified approaches to data collection. The research aims to determine the optimal parameters for UAV data collection to obtain accurate information about stands, considering the cost of resources for its collection. The process of collecting remote sensing data consisted of nine combinations divided into three levels of overlap and three levels of spatial resolution (survey altitude) and changing the degree of filtering of a dense point cloud during image processing. Individual tree detectingin the stand was performed using the R programming language and the ForestTools package. The results of the assessment of the dependence of the radius of tree crowns on their height were used to set the parameters of the variable filter function for finding local maxima for Scots pine stands. Errors in the identification of treetops were estimated using the F-score. The identified heights were compared with the field data of the ground survey. The proportion of classified digital elevation model DEM in the dense point cloud was reduced from the total area of the test site using images of 4.1 cm/pix spatial resolution (150 m survey altitude). The study presents the results of assessing the impact of spatial resolution of optical images collected from UAVs and their overlap on the results of measurements of stands parameters. It is determined that a photogrammetric survey with input images with a longitudinal overlap of less than 90% is not appropriate for the study of forest areas due to the impossibility of aligning all images. The results of the assessment of tree accounting in the stand showed that it is most appropriate to use images with a spatial resolution of up to 3.3 cm/pix (120 m survey altitude), otherwise, the proportion of missed treetops increases. Reducing the spatial resolution of remote sensing data leads to an increase in errors in determining the height of individual trees, and the average heights of the experimental plots had the same trend. Given the combination of the assessed factors, it is not recommended to use images with a spatial resolution of more than 3.3 cm/pix for forestry research due to increased errors in the individual tree detection and tree height determination. The results obtained can be used to select data collection parameters for research on Scots pine stands to assess their growing stock and phytomass
    Type of Medium: Online Resource
    ISSN: 2664-4452 , 2664-4460
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.31548/forest/1.2023
    DOI: 10.31548/forest
    DOI: 10.31548/forest/1.2023.39
    Language: Unknown
    Publisher: National University of Life and Environmental Sciences of Ukraine
    Publication Date: 2023
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  • 6
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    Scots pine stands biomass assessment using 3D data from unmanned aerial vehicle imagery in the Chernobyl Exclusion Zone
    Elsevier BV ; 2021
    In:  Journal of Environmental Management Vol. 295 ( 2021-10), p. 113319-
    Details
    In: Journal of Environmental Management, Elsevier BV, Vol. 295 ( 2021-10), p. 113319-
    Type of Medium: Online Resource
    ISSN: 0301-4797
    URL: Article
    DOI: 10.1016/j.jenvman.2021.113319
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1469206-5
    SSG: 12
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  • 7
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    The impact of radioactive contamination on tree regeneration and forest development in the Chernobyl Exclusion Zone
    Wiley ; 2022
    In:  Applied Vegetation Science Vol. 25, No. 1 ( 2022-01)
    Details
    In: Applied Vegetation Science, Wiley, Vol. 25, No. 1 ( 2022-01)
    Abstract: Nuclear power is under increasing consideration in many countries because it is a low‐carbon strategy to satisfy growing energy demands. Yet, the long‐term environmental impacts of nuclear accidents remain unclear. Here we asked how ionizing radiation affects tree regeneration and forest development after the Chernobyl nuclear accident. We hypothesized that high levels of 137 Cs contamination in the soil: (a) inhibit tree establishment; (b) accelerate structural development (i.e., facilitation of an early differentiation of tree sizes); while (c) prolonging the dominance of early‐seral deciduous communities (because of an elevated susceptibility of conifers to ionizing radiation). Location Chernobyl Exclusion Zone, Ukraine. Methods We sampled 103 plots on former agricultural lands in the Chernobyl Exclusion Zone that were abandoned after the accident in 1986. Results Contamination had no significant effect on the stem density of forests established on former agricultural lands ( p  = 0.769). Structural development was not accelerated by radioactive contamination ( p   〉  0.191), but we did find weak indications that the presence of tree regeneration was reduced by high radiation levels ( p  = 0.054). Tree species composition did not vary significantly with contamination ( p  = 0.250). Individual Scots pine trees did, however, experience a considerably higher proportion of deformed stems when contamination levels were high ( p  = 0.009). Conclusions Our analyses confirm negative effects of radioactive contamination on the individual tree health of Scots pine, yet early stand development in the Chernobyl Exclusion Zone was largely insensitive to different levels of radiation. As wildfires threaten to remobilize and redistribute radionuclides stored in the growing forests of the Chernobyl Exclusion Zone, our findings have potential implications for human health. We conclude that forest dynamics is a key element for assessing the long‐term risk at nuclear accident sites and requires intensified research and monitoring.
    Type of Medium: Online Resource
    ISSN: 1402-2001 , 1654-109X
    URL: Issue
    URL: Article
    DOI: 10.1111/avsc.v25.1
    DOI: 10.1111/avsc.12631
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2053083-3
    SSG: 12
    SSG: 23
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  • 8
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    Taper equations for eight major forest tree species in flat land Ukraine
    Oxford University Press (OUP) ; 2023
    In:  Forestry Vol. 96, No. 4 ( 2023-07-08), p. 498-508
    Details
    In: Forestry, Oxford University Press (OUP), Vol. 96, No. 4 ( 2023-07-08), p. 498-508
    Abstract: Stem taper equations are crucial for forest management allowing to reliably estimate merchantable wood volume. Their main benefit is the ability to predict stem diameters at a certain height of the stem. Ukraine has recently adopted European Union standards for round wood classification, which prompted the necessity to model stem taper and updates all reference data to conform with the new standards. This study is a systematic attempt to develop a set of taper equations for the most common forest tree species in the Polissia and Forest steppe of Ukraine. For this purpose, we used a data set of 1994 sample trees representing eight tree species collected on 238 sample plots. The Kozak A. (2004, My last words on taper equations. For. Chron.  80, 507–515) model was chosen to fit the taper equations. To characterize the variability in stem shape among tree species, mixed-effect models were calibrated for this equation. In this model, random-effect parameters were selected based on their coefficients of variation through a bootstrapping process. This is a novel feature we suggest for the process of calibrating taper models. The Kozak A. (2004, My last words on taper equations. For. Chron.  80, 507–515) equation showed a good performance in predicting diameters outside bark and estimating the total stem volume. Our mixed-effect modelling approach accurately characterizes the variation in stem form for different tree species based on adequately chosen random-effect parameters. The stem volumes derived from the developed taper models were compared with existing volume equations outputs (divergence up to 0.5 per cent). A deviation up to 5 per cent was found between the values of fitted and observed cylindrical form factors for the studied tree species. We expect that our taper equations will complement the future steps towards the development of reliable merchantable volume distribution models for the main tree species in the forests of flat land Ukraine, thus, contributing to transparency, reliability and sustainability of forest management and markets in Europe.
    Type of Medium: Online Resource
    ISSN: 0015-752X , 1464-3626
    URL: Article
    DOI: 10.1093/forestry/cpac052
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1466705-8
    SSG: 23
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  • 9
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    Natural forest regeneration in Chernobyl Exclusion Zone: predictive mapping and model diagnostics
    Informa UK Limited ; 2021
    In:  Scandinavian Journal of Forest Research Vol. 36, No. 2-3 ( 2021-04-03), p. 164-176
    Details
    In: Scandinavian Journal of Forest Research, Informa UK Limited, Vol. 36, No. 2-3 ( 2021-04-03), p. 164-176
    Type of Medium: Online Resource
    ISSN: 0282-7581 , 1651-1891
    URL: Article
    DOI: 10.1080/02827581.2021.1890816
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2016344-7
    SSG: 23
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