Storm Damage Assessment, Wind Throw

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> Damage Assessment. Storm Damage. Forest Changes. Forest. Change Detection.

Honkavaara, E., Litkey, P., Nurminen, K.,
Automatic Storm Damage Detection in Forests Using High-Altitude Photogrammetric Imagery,
RS(5), No. 3, March 2013, pp. 1405-1424.
DOI Link 1304

Litkey, P., Nurminen, K., Honkavaara, E.,
Automatic Detection of Storm Damages Using High-Altitude Photogrammetric Imaging,
DOI Link 1308

Negrón-Juárez, R.I.[Robinson I.], Chambers, J.Q.[Jeffrey Q.], Hurtt, G.C.[George C.], Annane, B.[Bachir], Cocke, S.[Stephen], Powell, M.[Mark], Stott, M.[Michael], Goosem, S.[Stephen], Metcalfe, D.J.[Daniel J.], Saatchi, S.S.[Sassan S.],
Remote Sensing Assessment of Forest Disturbance across Complex Mountainous Terrain: The Pattern and Severity of Impacts of Tropical Cyclone Yasi on Australian Rainforests,
RS(6), No. 6, 2014, pp. 5633-5649.
DOI Link 1407

Duan, F.Z.[Fu-Zhou], Wan, Y.C.[Yang-Chun], Deng, L.[Lei],
A Novel Approach for Coarse-to-Fine Windthrown Tree Extraction Based on Unmanned Aerial Vehicle Images,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705

Rüetschi, M.[Marius], Small, D.[David], Waser, L.T.[Lars T.],
Rapid Detection of Windthrows Using Sentinel-1 C-Band SAR Data,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
Storm damage. BibRef

Fagherazzi, S.[Sergio], Nordio, G.[Giovanna], Munz, K.[Keila], Catucci, D.[Daniele], Kearney, W.S.[William S.],
Variations in Persistence and Regenerative Zones in Coastal Forests Triggered by Sea Level Rise and Storms,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909

Yao, W.[Wutao], Ma, Y.[Yong], Chen, F.[Fu], Xiao, Z.[Zhishu], Shu, Z.[Zufei], Chen, L.J.[Li-Jun], Xiao, W.H.[Wen-Hong], Liu, J.B.[Jian-Bo], Jiang, L.Y.[Li-Yuan], Zhang, S.[Shuyan],
Analysis of Ice Storm Impact on and Post-Disaster Recovery of Typical Subtropical Forests in Southeast China,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001

Peter, J.S.[Joseph St.], Anderson, C.[Chad], Drake, J.[Jason], Medley, P.[Paul],
Spatially Quantifying Forest Loss at Landscape-scale Following a Major Storm Event,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004

Kislov, D.E.[Dmitry E.], Korznikov, K.A.[Kirill A.],
Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004

McCarthy, M.J.[Matthew J.], Jessen, B.[Brita], Barry, M.J.[Michael J.], Figueroa, M.[Marissa], McIntosh, J.[Jessica], Murray, T.[Tylar], Schmid, J.[Jill], Muller-Karger, F.E.[Frank E.],
Automated High-Resolution Time Series Mapping of Mangrove Forests Damaged by Hurricane Irma in Southwest Florida,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006

Deigele, W.[Wolfgang], Brandmeier, M.[Melanie], Straub, C.[Christoph],
A Hierarchical Deep-Learning Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007

Tomppo, E.[Erkki], Ronoud, G.[Ghasem], Antropov, O.[Oleg], Hytönen, H.[Harri], Praks, J.[Jaan],
Detection of Forest Windstorm Damages with Multitemporal SAR Data: A Case Study: Finland,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Bernardes, S., Madden, M.,
Vegetation Disturbance And Recovery Following A Rare Windthrow Event In The Great Smoky Mountains National Park,
ISPRS16(B8: 571-575).
DOI Link 1610

Pirotti, F., Travaglini, D., Giannetti, F., Kutchartt, E., Bottalico, F., Chirici, G.,
Kernel Feature Cross-correlation For Unsupervised Quantification Of Damage From Windthrow In Forests,
ISPRS16(B7: 17-22).
DOI Link 1610

Saarinen, N., Vastaranta, M., Honkavaara, E., Wulder, M.A., White, J.C., Litkey, P., Holopainen, M., Hyyppä, J.,
Mapping the Risk of Forest Wind Damage Using Airborne Scanning LiDAR,
DOI Link 1504

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Eucalypt Trees, Eucalyptus .

Last update:Feb 27, 2021 at 21:35:16