Enhancing deadwood reporting for forest ecosystems: Bridge equations to convert deadwood measured at any diameter threshold to reference diameters

Authors: Daniel Moreno-Fernández, Isabel Cañellas, Laura Hernández, Patricia Adame, Iciar Alberdi

Source: Ecological Indicators, Vol 163, Iss , Pp 112112- (2024)

Subject Terms: Biodiversity, Carbon budget, Coarse woody debris, Forest sampling, Full area sampling, Monitoring, Ecology, QH540-549.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X24005697; https://doaj.org/toc/1470-160X

Access URL: https://doaj.org/article/3a5d1d3aee4d4e2a9e91f34bbc6d6fa0

Continuous cover forestry: Which sampling method should be used to ensure sustainable management?

Authors: Mathias Leiter, Hubert Hasenauer

Source: Trees, Forests and People, Vol 13, Iss , Pp 100419- (2023)

Subject Terms: Plenter forest, Forest sampling, Inventory design, Sustainability, Forestry, SD1-669.5, Plant ecology, QK900-989

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666719323000511; https://doaj.org/toc/2666-7193

Access URL: https://doaj.org/article/311c3bdc8f8847199c2c7f5985a25d06

Evaluation of two sampling methods for even-age Pinus forest in northern Mexico

Authors: Viridiana S. GALVÁN-MORENO, Jesús M. OLIVAS-GARCÍA, Joel RASCÓN-SOLANO, Javier HERNÁNDEZ-SALAS

Source: Notulae Scientia Biologicae, Vol 15, Iss 2 (2023)

Subject Terms: angular sampling, forest sampling, fixed area sampling, sampling costs, sampling times, variable area sampling, Agriculture (General), S1-972, Science (General), Q1-390

File Description: electronic resource

Relation: https://www.notulaebiologicae.ro/index.php/nsb/article/view/11564; https://doaj.org/toc/2067-3264

Access URL: https://doaj.org/article/1afc2f1767a945d19c74da86c603607c

Mapping and Monitoring Forest Cover

Contributors: Congalton, Russell G.

Subject Terms: unmanned aerial systems, canopy height model, individual tree crown, segmentation, forest cover map, national forest inventory, aerial images, Sentinel-2, multisensory approach, forest monitoring, remote sensing, forest sampling, inventory efficiency, Forest Inventory and Analysis, forest change, degradation, regeneration, geospatial–temporal analysis, trend, Juniperus, above-ground biomass, land-use, allometric equation, satellite remote sensing, land cover classification, NDVI, vegetation, Savitzky–Golay filtering, spatial and temporal analysis, Ruoergai area, Research and information: general

File Description: image/jpeg

Access URL: https://directory.doabooks.org/handle/20.500.12854/76873
https://mdpi.com/books/pdfview/book/4343

Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019

Contributors: Matese, Alessandro

Subject Terms: unmanned aerial vehicles, seedling detection, forest regeneration, reforestation, establishment survey, machine learning, multispectral classification, UAV photogrammetry, forest modeling, ancient trees measurement, tree age prediction, Mauritia flexuosa, semantic segmentation, end-to-end learning, convolutional neural network, forest inventory, Unmanned Aerial Systems (UAS), structure from motion (SfM), Unmanned Aerial Vehicles (UAV), Photogrammetry, Thematic Mapping, Accuracy Assessment, Reference Data, Forest Sampling, Remote Sensing, Robinia pseudoacacia L., reproduction, spreading, short rotation coppice, unmanned aerial system (UAS), object-based image analysis (OBIA), convolutional neural network (CNN), juniper woodlands, ecohydrology, remote sensing, unmanned aerial systems, central Oregon, rangelands, seedling stand inventorying, photogrammetric point clouds, hyperspectral imagery, leaf-off, leaf-on, UAV, multispectral image, forest fire, burn severity, classification, precision agriculture, biomass evaluation, image processing, Castanea sativa, unmanned aerial vehicles (UAV), precision forestry, forestry applications, RGB imagery, Research and information: general, Biology, life sciences, Forestry industry

File Description: application/octet-stream

Access URL: https://directory.doabooks.org/handle/20.500.12854/69331
https://mdpi.com/books/pdfview/book/3123

A Fast Parallel Random Forest Algorithm Based on Spark

Authors: Linzi Yin, Ken Chen, Zhaohui Jiang, Xuemei Xu

Source: Applied Sciences, Vol 13, Iss 10, p 6121 (2023)

Subject Terms: Apache Spark, approximate equal-frequency binning, Gini coefficient, forest sampling index, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/10/6121; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/35d3ebe5d17b4ed6ac69da130e9c028e

Review and Synthesis of Estimation Strategies to Meet Small Area Needs in Forest Inventory

Authors: Garret T. Dettmann, Philip J. Radtke, John W. Coulston, P. Corey Green, Barry T. Wilson, Gretchen G. Moisen

Source: Frontiers in Forests and Global Change, Vol 5 (2022)

Subject Terms: small area estimation, model-assisted estimation, forest sampling, geospatial data, design-based inference, model-based inference, Forestry, SD1-669.5, Environmental sciences, GE1-350

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/ffgc.2022.813569/full; https://doaj.org/toc/2624-893X

Access URL: https://doaj.org/article/a38d60ca39d44120b1b065d0f7d80e56

Evaluation of distance methods for estimating population density in Populus euphratica Olivier natural stands (case study: Maroon riparian forests, Iran)

Authors: Reza BASIRI, Mostafa MORADI, Bahman KIANI, Maryam MAASUMI BABAARABI

Source: Journal of Forest Science, Vol 64, Iss 5, Pp 230-244 (2018)

Subject Terms: forest sampling, accuracy, efficiency, pure and mixed stands, Forestry, SD1-669.5

File Description: electronic resource

Relation: https://jfs.agriculturejournals.cz/artkey/jfs-201805-0005_evaluation-of-distance-methods-for-estimating-population-density-in-populus-euphratica-olivier-natural-stands.php; https://doaj.org/toc/1212-4834; https://doaj.org/toc/1805-935X

Access URL: https://doaj.org/article/d6f35b6f8db7424db237d7187da7be14

Adaptive k-tree sample plot for the estimation of stem density: An empirical approach

Authors: Hormoz SOHRABI

Source: Journal of Forest Science, Vol 64, Iss 1, Pp 17-24 (2018)

Subject Terms: plotless sampling, distance sampling, bias, efficiency, forest sampling, Forestry, SD1-669.5

File Description: electronic resource

Relation: https://jfs.agriculturejournals.cz/artkey/jfs-201801-0004_adaptive-k-tree-sample-plot-for-the-estimation-of-stem-density-an-empirical-approach.php; https://doaj.org/toc/1212-4834; https://doaj.org/toc/1805-935X

Access URL: https://doaj.org/article/c65b0705142f46029f017099399200d1

Sampling Methods for Estimating Change in Forest Resources

Authors: Scott, Charles T.

Source: Ecological Applications, 1998 May 01. 8(2), 228-233.

Access URL: https://www.jstor.org/stable/2641062

Determination of the most appropriate transect length for estimation of quantitative characteristics in Zagros forests

Source: مجله جنگل ایران, Vol 1, Iss 3, Pp 229-238 (2009)

Subject Terms: forest sampling, transect, precision, oak, zagros, crown cover, Forestry, SD1-669.5

File Description: electronic resource

Relation: http://www.ijf-isaforestry.ir/article_4317_aa6e617a2c159f86278c829b3e7b656d.pdf; https://doaj.org/toc/2008-6113; https://doaj.org/toc/2423-4435

Access URL: https://doaj.org/article/f294b0ab759b4f958677246146ee0345

The Relative Efficiency of Some Forest Growth Estimators

Authors: Martin, George L.

Source: Biometrics, 1983 Sep 01. 39(3), 639-649.

Access URL: https://www.jstor.org/stable/2531091

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