Paper Info
Title
Detection of Drought-Induced Hickory Disturbances in Western Lin An County, China, Using Multitemporal Landsat Imagery.
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.
Year
DOI
Venue
2016
10.3390/rs8040345
REMOTE SENSING
Keywords
Field
DocType
hickory plantation,drought-induced disturbance,Landsat,linear spectral mixture analysis,ratio of green vegetation to soil fractions
Magnitude (mathematics),Vegetation,Field survey,Change detection,Remote sensing,Multispectral image,Hickory nut,Geology,Spatial distribution,Logging
Journal
Volume
Issue
ISSN
8
4
2072-4292
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Zhenyuan Xi100.34
Dengsheng Lu214123.73
Lijuan Liu3504.15
Hongli Ge431.46