Search Results

Assessment of forest damage caused by an ice storm using multi-temporal remote-sensing images: a case study from Guangdong Province.

• Authors : Wu, Jiansheng (AUTHOR); Wang, Tong (AUTHOR); Pan, Kuangyi (AUTHOR)

Subjects: STORM damage; ICE storms; EFFECT of ice on plantsGUANGDONG Sheng (China)

• Source: International Journal of Remote Sensing. Jul2016, Vol. 37 Issue 13, p3125-3142. 18p. 2 Charts, 5 Graphs, 4 Maps.

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UAS as tools for rapid detection of storm-induced morphodynamic changes at Camposoto beach, SW Spain.

• Authors : Talavera, L. (AUTHOR); Del Río, L. (AUTHOR); Benavente, J. (AUTHOR)

Subjects: DRONE aircraft; CLIMATE change; STORM damage

• Source: International Journal of Remote Sensing. Aug2018, Vol. 39 Issue 15/16, p5550-5567. 18p. 2 Color Photographs, 3 Diagrams, 3 Charts, 1 Graph.

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Mapping the health of mature deciduous forest stands by fusing multisource geospatial data with Dempster's combination rule.

• Authors : Mora, Brice; Fournier, RichardA.; Foucher, Samuel

Subjects: GEOSPATIAL data; ENVIRONMENTAL mapping; FOREST healthCANADA

• Source: International Journal of Remote Sensing; Feb2012, Vol. 33 Issue 4, p1139-1163, 25p, 1 Diagram, 15 Charts, 1 Graph, 3 Maps

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Combining satellite imagery with forest inventory data to assess damage severity following a major blowdown event in northern Minnesota, USA.

• Authors : Nelson, MarkD.; Healey, SeanP.; Moser, W. Keith

Subjects: FOREST surveys; REMOTE-sensing images; WINDFALL (Forestry)MINNESOTA; UNITED States

• Source: International Journal of Remote Sensing; Oct2009, Vol. 30 Issue 19, p5089-5108, 20p, 2 Diagrams, 1 Graph

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Assimilating remote sensing data into a land-surface process model.

• Authors : SCHNEIDER, K.

Subjects: DETECTORS; NITROGEN; RAINFALL

• Source: International Journal of Remote Sensing; 7/20/2003, Vol. 24 Issue 14, p2959, 22p

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Technical note: Canopy height models and airborne lasers to estimate forest biomass: two problems.

• Authors : Nelson, R.; Jimenez, J.; Schnell, C. E.

Subjects: FOREST biomass; FOREST canopiesCOSTA Rica

• Source: International Journal of Remote Sensing; 7/20/2000, Vol. 21 Issue 11, p2153-2162, 10p, 1 Diagram, 2 Charts, 3 Graphs

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Windthrow damage detection in Nordic forests by 3D reconstruction of very high-resolution stereo optical satellite imagery.

• Authors : Zubkov, Peter; Solberg, Svein; McInnes, Harold

Subjects: REMOTE-sensing images; WINDFALL (Forestry); OPTICAL radar

• Source: International Journal of Remote Sensing; Aug2023, Vol. 44 Issue 16, p4963-4988, 26p

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Object-based change detection in wind storm-damaged forest using high-resolution multispectral images.

• Authors : Chehata, N.; Orny, C.; Boukir, S.

Subjects: MULTISPECTRAL imaging; WINDSTORMS; REMOTE-sensing images

• Source: International Journal of Remote Sensing; Jul2014, Vol. 35 Issue 13, p4758-4777, 20p

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Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks.

• Authors : Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert

Subjects: LAND cover; REMOTE sensing; SURFACE of the earth

• Source: International Journal of Remote Sensing; May2022, Vol. 43 Issue 9, p3509-3535, 27p

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Investigating the potential of ICEYE-SAR data in storm damage detection in a coniferous forest with rugged terrain.

• Authors : Antoniadis, Konstantinos¹ (AUTHOR) ; Gitas, Ioannis Z.¹ (AUTHOR); Georgopoulos, Nikos¹ (AUTHOR)

• Source: International Journal of Remote Sensing. Dec2024, p1-30. 30p. 6 Illustrations, 6 Charts.

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