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Publication : international journal of remote sensing

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Academic Journal

Analysis of different polarimetric target decomposition methods in forest density classification using C band SAR data.

Authors : Varghese, Alappat Ouseph (AUTHOR); Suryavanshi, Arun (AUTHOR); Joshi, Asokh Kumar (AUTHOR)

Subjects: FOREST density; CLASSIFICATION algorithms; MATHEMATICAL decomposition

Source: International Journal of Remote Sensing. Feb2016, Vol. 37 Issue 3, p694-709. 16p. 1 Diagram, 2 Charts, 2 Maps.

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Academic Journal

Estimating aboveground forest carbon density using Landsat 8 and field-based data: a comparison of modelling approaches.

Authors : Li, Chao (AUTHOR); Li, Mingyang (AUTHOR); Li, Yingchang (AUTHOR)

Subjects: FOREST density; CARBON sequestration in forests; DUMMY variablesHUNAN Sheng (China)

Source: International Journal of Remote Sensing. Jun2020, Vol. 41 Issue 11, p4269-4292. 24p. 1 Diagram, 8 Charts, 5 Graphs, 3 Maps.

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Academic Journal

Changes in livestock footprint and tree layer coverage in Mediterranean dehesas: a six-decade study based on remote sensing.

Authors : López-Sánchez, Aida; Dirzo, Rodolfo; Roig, Sonia

Subjects: FOREST density; LIVESTOCK; SILVOPASTORAL systems

Source: International Journal of Remote Sensing. Jul2018, Vol. 39 Issue 14, p4727-4743. 17p. 1 Color Photograph, 4 Charts, 3 Graphs, 1 Map.

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Academic Journal

Estimating vertical canopy cover using dense image-based point cloud data in four vegetation types in southern Sweden.

Authors : Granholm, Ann-Helen (AUTHOR); Lindgren, Nils (AUTHOR); Olofsson, Kenneth (AUTHOR)

Subjects: FOREST canopies; FOREST density; REMOTE-sensing imagesSWEDEN

Source: International Journal of Remote Sensing. Apr2017, Vol. 38 Issue 7, p1820-1838. 19p. 4 Charts, 3 Graphs, 3 Maps.

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Academic Journal

Comparing the effects of classification techniques on landscape-level assessments: pixel-based versus object-based classification.

Authors : Newman, MinkeE. (AUTHOR); McLaren, KurtP. (AUTHOR); Wilson, ByronS. (AUTHOR)

Subjects: FRAGMENTED landscapes; FOREST density; IMAGE processingJAMAICA

Source: International Journal of Remote Sensing. 7/20/2011, Vol. 32 Issue 14, p4055-4073. 19p. 4 Charts, 1 Graph, 3 Maps.

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Academic Journal

Estimation of individual stem volume and diameter from segmented UAV laser scanning datasets in Pinus taeda L. plantations.

Authors : Sumnall, Matthew J.; Albaugh, Timothy J.; Carter, David R.

Subjects: FOREST surveys; FOREST management; TREE planting

Source: International Journal of Remote Sensing; Jan2023, Vol. 44 Issue 1, p217-247, 31p

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Academic Journal

Stratification of forest density and its validation by NDVI analysis in a part of western Himalaya, India using Remote sensing and GIS techniques.

Authors : Kumar, A.; Uniyal, S. K.; Lal, B.

Subjects: FORESTS & forestry; DENSITY; REMOTE-sensing imagesHIMALAYA Mountains

Source: International Journal of Remote Sensing; Jun2007, Vol. 28 Issue 11, p2485-2495, 11p, 2 Charts, 1 Graph, 5 Maps

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Academic Journal

Outlier detection and robust plane fitting for building roof extraction from LiDAR data.

Authors : Dey, Emon Kumar; Awrangjeb, Mohammad; Stantic, Bela

Subjects: OUTLIER detection; LIDAR; ROOFSINTERNATIONAL Society for Photogrammetry & Remote Sensing

Source: International Journal of Remote Sensing; Aug2020, Vol. 41 Issue 16, p6325-6354, 30p, 5 Color Photographs, 2 Diagrams, 15 Charts, 1 Graph, 3 Maps

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Academic Journal

How far can we trust forestry estimates from low-density LiDAR acquisitions? The Cutfoot Sioux experimental forest (MN, USA) case study.

Authors : Borgogno Mondino, Enrico; Fissore, Vanina; Falkowski, Michael J.

Subjects: BASAL area (Forestry); FORESTS & forestry; LIDARMINNESOTA

Source: International Journal of Remote Sensing; Jun2020, Vol. 41 Issue 12, p4551-4569, 19p, 6 Charts, 7 Graphs

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Academic Journal

Detection of mountain pine beetle-killed ponderosa pine in a heterogeneous landscape using high-resolution aerial imagery.

Authors : Gartner, Meredith H.; Veblen, Thomas T.; Leyk, Stefan

Subjects: MOUNTAIN pine beetle; TREE mortality; REMOTE sensing

Source: International Journal of Remote Sensing; Nov2015, Vol. 36 Issue 21, p5353-5372, 20p, 3 Charts, 3 Graphs, 3 Maps

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