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Remote Sens. 2016, 8(4), 345; doi:10.3390/rs8040345

Detection of Drought-Induced Hickory Disturbances in Western Lin An County, China, Using Multitemporal Landsat Imagery

Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang, School of Environmental and Resource Sciences, Zhejiang Agriculture and Forestry University, Lin An 311300, China
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Author to whom correspondence should be addressed.
Academic Editors: Xiangming Xiao, Jinwei Dong, Parth Sarathi Roy and Prasad S. Thenkabail
Received: 15 December 2015 / Revised: 29 February 2016 / Accepted: 4 April 2016 / Published: 20 April 2016
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Abstract

Hickory plantations play an important role in improving local farmers’ economic conditions, but extreme drought in July–August 2013 seriously influenced hickory nut production. It is necessary to understand the extent and magnitude of this drought-induced hickory disturbance through mapping its spatial distribution using remote sensing data. This paper proposes a new approach to examine hickory disturbance based on multitemporal Landsat imagery. Ratios of green vegetation to soil fractions were calculated, in which the green vegetation and soil fractions were extracted from Landsat multispectral imagery using the linear spectral mixture analysis approach. We used the differences between before-drought and after-drought ratios to detect hickory disturbances. Four disturbance levels—non-disturbance, light, medium, and severe—were grouped according to the field survey data. The spatial distribution of these four levels was developed using the ratio-based approach. The result indicates that this approach is effective to detect drought-induced hickory disturbance and may be transferred to detect other kinds of disturbances, such as forest disease and selective logging. Cautions should be taken to properly select image acquisition dates and the change detection period, in addition to the approach itself. View Full-Text
Keywords: hickory plantation; drought-induced disturbance; Landsat; linear spectral mixture analysis; ratio of green vegetation to soil fractions hickory plantation; drought-induced disturbance; Landsat; linear spectral mixture analysis; ratio of green vegetation to soil fractions
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Xi, Z.; Lu, D.; Liu, L.; Ge, H. Detection of Drought-Induced Hickory Disturbances in Western Lin An County, China, Using Multitemporal Landsat Imagery. Remote Sens. 2016, 8, 345.

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