Identification of Arceuthobium globosum using unmanned aerial vehicle images in a high mountain forest of central Mexico-Reference-Cited by-同舟云学术

Identification of Arceuthobium globosum using unmanned aerial vehicle images in a high mountain forest of central Mexico

Published:2019-04-23 Issue:5 Volume:31 Page:1759-1771
ISSN:1007-662X
Container-title:Journal of Forestry Research
language:en
Short-container-title:J. For. Res.

Author:

León-Bañuelos Luis A.,Endara-Agramont Angel R.,Gómez-Demetrio William,Martínez-García Carlos G.,Gabino Nava-Bernal E.

Publisher

Springer Science and Business Media LLC

Subject

Forestry

Link

http://link.springer.com/content/pdf/10.1007/s11676-019-00954-5.pdf

Reference59 articles.

1. Adamsen FJ, Pinter PJ Jr, Barnes EM, La Morte RL, Wall GW, Leavitt SW, Kimball BA (1999) Measuring wheat senescence with a digital camera. Crop Sci 39:719–724

2. Allen CD, Macalady AK, Chenchouni H, Bachelet D, Mcdowell N, Vennetier M, Kitzberger T, Rigling A, Breshears DD, Hogg EH, Gonzalez P, Fensham R, Zhang Z, Castro J, Demidova N, Lim JH, Allard G, Sw Running, Semerci A, Cobb N (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For Ecol Manage 259:660–684

3. Barnoaiea I, Iacobescu O (2008) Using pixel and object based IKONOS image analysis for studying decay in silver fir stands. Ann For Res 52(1):151–162

4. Berni JAJ, Zarco-Tejada PJ, Suárez L, Fereres E (2009) Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans Geosci Remote Sens 47:722–738

5. Bunning E, Moser I (1969) Interference of moonlight with the photoperiodic measurement of time by plants, and their adaptive reaction. Proc Natl Acad Sci USA 62(4):1018–1022

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