Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data

Tomicus yunnanensis and Tomicus minor have caused serious shoot damage in Yunnan pine forests in the Yunnan Province of China. However, very few remote sensing studies have estimated the shoot damage ratio (SDR). Thus, we used multi-date Landsat satellite imagery to quantify SDRs and assess the poss...

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Main Authors: Linfeng Yu, Jixia Huang, Shixiang Zong, Huaguo Huang, Youqing Luo
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/9/1/39
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spelling doaj-853bf3fe1a594143a10c7effcf556ba52020-11-24T23:06:37ZengMDPI AGForests1999-49072018-01-01913910.3390/f9010039f9010039Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series DataLinfeng Yu0Jixia Huang1Shixiang Zong2Huaguo Huang3Youqing Luo4Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, ChinaKey Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, ChinaKey Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, ChinaKey Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, ChinaKey Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, ChinaTomicus yunnanensis and Tomicus minor have caused serious shoot damage in Yunnan pine forests in the Yunnan Province of China. However, very few remote sensing studies have estimated the shoot damage ratio (SDR). Thus, we used multi-date Landsat satellite imagery to quantify SDRs and assess the possibility of using spectral indices to determine the beetle outbreak time and spread direction. A new threshold-based classification method was proposed to identify damage levels (i.e., healthy, slightly to moderately infested, and severely infested forests) using time series of moisture stress index (MSI). Permanent plots and temporal field inspection data were both used as references for training and evaluation. Results show that a single threshold value can produce a total classification accuracy of 86.38% (Kappa = 0.80). Furthermore, time series maps detailing damage level were reconstructed from 2004 to 2016. The shoot beetle outbreak year was estimated to be 2013. Another interesting finding is the movement path of the geometric center of severe damage, which is highly consistent with the wind direction. We conclude that the time series of shoot damage level maps can be produced by using continuous MSI images. This method is very useful to foresters for determining the outbreak time and spread direction.http://www.mdpi.com/1999-4907/9/1/39LandsatTomicus yunnanensisTomicus minorshoot damage ratioclassificationmulti-date methods
collection DOAJ
language English
format Article
sources DOAJ
author Linfeng Yu
Jixia Huang
Shixiang Zong
Huaguo Huang
Youqing Luo
spellingShingle Linfeng Yu
Jixia Huang
Shixiang Zong
Huaguo Huang
Youqing Luo
Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data
Forests
Landsat
Tomicus yunnanensis
Tomicus minor
shoot damage ratio
classification
multi-date methods
author_facet Linfeng Yu
Jixia Huang
Shixiang Zong
Huaguo Huang
Youqing Luo
author_sort Linfeng Yu
title Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data
title_short Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data
title_full Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data
title_fullStr Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data
title_full_unstemmed Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data
title_sort detecting shoot beetle damage on yunnan pine using landsat time-series data
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2018-01-01
description Tomicus yunnanensis and Tomicus minor have caused serious shoot damage in Yunnan pine forests in the Yunnan Province of China. However, very few remote sensing studies have estimated the shoot damage ratio (SDR). Thus, we used multi-date Landsat satellite imagery to quantify SDRs and assess the possibility of using spectral indices to determine the beetle outbreak time and spread direction. A new threshold-based classification method was proposed to identify damage levels (i.e., healthy, slightly to moderately infested, and severely infested forests) using time series of moisture stress index (MSI). Permanent plots and temporal field inspection data were both used as references for training and evaluation. Results show that a single threshold value can produce a total classification accuracy of 86.38% (Kappa = 0.80). Furthermore, time series maps detailing damage level were reconstructed from 2004 to 2016. The shoot beetle outbreak year was estimated to be 2013. Another interesting finding is the movement path of the geometric center of severe damage, which is highly consistent with the wind direction. We conclude that the time series of shoot damage level maps can be produced by using continuous MSI images. This method is very useful to foresters for determining the outbreak time and spread direction.
topic Landsat
Tomicus yunnanensis
Tomicus minor
shoot damage ratio
classification
multi-date methods
url http://www.mdpi.com/1999-4907/9/1/39
work_keys_str_mv AT linfengyu detectingshootbeetledamageonyunnanpineusinglandsattimeseriesdata
AT jixiahuang detectingshootbeetledamageonyunnanpineusinglandsattimeseriesdata
AT shixiangzong detectingshootbeetledamageonyunnanpineusinglandsattimeseriesdata
AT huaguohuang detectingshootbeetledamageonyunnanpineusinglandsattimeseriesdata
AT youqingluo detectingshootbeetledamageonyunnanpineusinglandsattimeseriesdata
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