Showing 1,801 - 1,820 results of 2,027 for search '"Forest inventory"', query time: 0.63s Refine Results
  1. 1801

    Tree Crown Delineation Algorithm Based on a Convolutional Neural Network by José R. G. Braga, Vinícius Peripato, Ricardo Dalagnol, Matheus P. Ferreira, Yuliya Tarabalka, Luiz E. O. C. Aragão, Haroldo F. de Campos Velho, Elcio H. Shiguemori, Fabien H. Wagner

    Published 2020-04-01
    “…Due to the importance of those forests, there is growing interest in mapping their components and getting information at an individual tree level to conduct reliable satellite-based forest inventory for biomass and species distribution qualification. …”
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    Article
  2. 1802

    Aboveground biomass estimation in forests with random forest and Monte Carlo-based uncertainty analysis by Zizhao Li, Shoudong Bi, Shuang Hao, Yuhuan Cui

    Published 2022-09-01
    “…To solve the above problems, this study focuses on Milin County of the Tibet Autonomous Region of China as the research area and uses data from the Landsat Operational Land Imager, digital elevation models (DEM), and the national forest inventory (NFI) to extract and analyze spectral information, textural features, and terrain factors. …”
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    Article
  3. 1803

    Disponibilidade hídrica do solo e produtividade do eucalipto em três regiões da Bacia do Rio Doce Soil water availability and eucalyptus productivity in three regions of the Rio Do... by Maria José Hatem de Souza, Aristides Ribeiro, Hélio Garcia Leite, Fernando Palha Leite, Rosandro Boligon Minuzzi

    Published 2006-06-01
    “…The precipitation events occurred over the rainy seasons as well as the water balance components by Thornthwaite and Mather, in 1955, relative to the period from January 1985 to December 1998 were studied, in order to determine the influence of these components on the gain of the annual average volume of wood (m³ha-¹). To do so, the forest inventory data from the Empresa Florestal Celulose Nipo-Brasileira - CENIBRA, relative to the 3 - 7 year age range, were used. …”
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    Article
  4. 1804

    Index of biodiversity potential (IBP) versus direct species monitoring in temperate forests by Laura Zeller, Charlotte Baumann, Pierre Gonin, Lea Heidrich, Constanze Keye, Felix Konrad, Laurent Larrieu, Peter Meyer, Holger Sennhenn-Reulen, Jörg Müller, Peter Schall, Christian Ammer

    Published 2022-03-01
    “…Forest structure can – compared to conventional species-based monitoring - easily be captured during forest inventories and does not require specific taxonomic expertise. …”
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    Article
  5. 1805
  6. 1806

    Forest structure and individual tree inventories of northeastern Siberia along climatic gradients by T. Miesner, T. Miesner, U. Herzschuh, U. Herzschuh, U. Herzschuh, L. A. Pestryakova, M. Wieczorek, E. S. Zakharov, E. S. Zakharov, A. I. Kolmogorov, P. V. Davydova, S. Kruse

    Published 2022-12-01
    “…</p> <p>In this study, we present the forest inventory data aggregated per plot. Additionally, we connect the data with different remote sensing data products to find out how accurately forest structure can be predicted from such products. …”
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    Article
  7. 1807

    Mobile Laser Scanning for Estimating Tree Structural Attributes in a Temperate Hardwood Forest by Bastien Vandendaele, Olivier Martin-Ducup, Richard A. Fournier, Gaetan Pelletier, Philippe Lejeune

    Published 2022-09-01
    “…We expect our results would provide a better understanding of the potential of SLAM-based MLS systems to support in-situ forest inventory.…”
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    Article
  8. 1808

    Anthropological interference on the vegetation of Wassaniya Forest Reserve In Sokoto, Nigeria by Muhammad, Atiku

    Published 2017
    “…A forest inventory was carried out to investigate the anthropological interference on the vegetation of Wassaniya Forest Reserve in Sokoto state of northwestern Nigeria. …”
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    Thesis
  9. 1809
  10. 1810

    Spatiotemporal variations in productivity and water use efficiency across a temperate forest landscape of Northeast China by Xuhua Li, Tanzeel Javaid Aini Farooqi, Chao Jiang, Shirong Liu, Osbert Jianxin Sun

    Published 2019-04-01
    “…Information on stands and selective site variables were compiled from the Forest Inventory Datasets of China. Analyses were performed with Arc-GIS. …”
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    Article
  11. 1811

    Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1) by N. M. Fyllas, E. Gloor, L. M. Mercado, S. Sitch, C. A. Quesada, T. F. Domingues, D. R. Galbraith, A. Torre-Lezama, E. Vilanova, H. Ramírez-Angulo, N. Higuchi, D. A. Neill, M. Silveira, L. Ferreira, G. A. Aymard C., Y. Malhi, O. L. Phillips, J. Lloyd

    Published 2014-07-01
    “…To help understand causes of this variation a new individual-based model of tropical forest growth, designed to take full advantage of the forest census data available from the Amazonian Forest Inventory Network (RAINFOR), has been developed. …”
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    Article
  12. 1812

    Harmonized dataset of surface fuels under Alpine, temperate and Mediterranean conditions in Italy. A synthesis supporting fire management by Ascoli D, Vacchiano G, Scarpa C, Arca B, Barbati A, Battipaglia G, Elia M, Esposito A, Garfì V, Lovreglio R, Mairota P, Marchetti M, Marchi E, Meytre S, Ottaviano M, Pellizzaro G, Rizzolo R, Sallustio L, Salis M, Sirca C, Valese E, Ventura A, Bacciu V

    Published 2020-12-01
    “…To ensure comparability with existing vegetation classification systems, we classified each observation according to the European Fuel Map, the Corine Land Cover classes (level IV), the European Forest Types, and the forest categories of the Italian National Forest Inventory. The dataset and a photo description of each fuelbed category are available as Supplementary material. …”
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    Article
  13. 1813
  14. 1814

    Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests by Juan Guerra-Hernández, Lana L. Narine, Adrián Pascual, Eduardo Gonzalez-Ferreiro, Brigite Botequim, Lonesome Malambo, Amy Neuenschwander, Sorin C. Popescu, Sergio Godinho

    Published 2022-12-01
    “…When applied to the field-based validation data set (4th Spanish National Forest Inventory (SNFI-4) plots = 508), the RF-derived AGB model showed a relatively lower predictive capacity (R2 = 0.45), a higher RMSE value (25.88 Mg ha−1) and slightly biased results (−1.47 Mg ha−1), especially for larger field-derived AGB intervals. …”
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    Article
  15. 1815
  16. 1816
  17. 1817
  18. 1818
  19. 1819

    Total economic value of forest ecosystem services in Endau Rompin National Park, Johor, Malaysia by Matthew, Nitanan Koshy

    Published 2017
    “…For the latter one, a ground forest inventory, also using the purposive sampling technique, has been utilised to choose 6 plots in Peta. …”
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    Thesis
  20. 1820