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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (3) : 196-203     DOI: 10.6046/gtzyyg.2018.03.27
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Assessment of forest damage due to ice-snow disaster based on the method of threshold ratio:A case study of Hunan Province
Xuecheng WANG1,2, Fei YANG1(), Xing GAO1, Yinghui ZHANG1,2
1. Institute of Geographic Sciences and Natural Resources Research, CAS, State Key Laboratory of Resources and Environmental Information System, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
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Abstract  

Ice-snow disasters are one of the main disruptions to forest ecological systems, causing the loss of forest structure and degeneration of ecological system's functions. Rapid and accurate assessment of forest resource loss has an important significance for starting the process post-disaster recovery and forest ecosystem management. Using MODIS Normalized Difference Vegetation Index (NDVI) images during 2001—2007, the authors extract pre-disaster reference value of plant NDVI and growth change threshold. In combination with post-disaster NDVI images, the range of Hunan forest ice-snow disaster is extracted by pre-disaster reference value and growth change threshold in 2008. The method of threshold ratio is proposed on the basis of method of image threshold, which is used to assess the loss of forest resources within the region of forest ice-snow disaster. A comparison with the method of image threshold shows that the assessing results from the method of threshold ratio are more close to the manual survey results, and its standard error is only 0.95, which is less than 1/3 of that of the image threshold method. The assessing results show that forest resources of the whole province have suffered serious losses: severe damaged rate, moderate damaged rate and mild damaged rate are 53.69%, 27.50% and 18.81%, respectively. What’s more, the analysis combined with topographic factors shows that forests in high altitudes are more severely affected than in low altitudes, and forests located in shady aspect are especially more severely affected.
Keywords method of threshold ratio      forest      ice-snow disaster      Hunan Province     
:  TP79  
Corresponding Authors: Fei YANG     E-mail: yangfei@lreis.ac.cn
Issue Date: 10 September 2018
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Xuecheng WANG
Fei YANG
Xing GAO
Yinghui ZHANG
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Xuecheng WANG,Fei YANG,Xing GAO, et al. Assessment of forest damage due to ice-snow disaster based on the method of threshold ratio:A case study of Hunan Province[J]. Remote Sensing for Land & Resources, 2018, 30(3): 196-203.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.03.27     OR     https://www.gtzyyg.com/EN/Y2018/V30/I3/196
时段 R<0.3所占比例 R<0.4所占比例
2005049 0.953 1 0.982 9
2006049 0.913 9 0.940 6
2007049 0.566 1 0.627 3
2005065 0.984 7 0.993 1
2006065 0.987 3 0.994 4
2007065 0.990 8 0.997 5
Tab.1  Statistical results of forest NDVI change rate before disaster
Fig.1  Loss assessment process of forest ice-snow disaster
Fig.2  Spatial distribution of the 2008 forest ice-snow disaster area in Hunan Province
Fig.3  Loss assessment result of forest ice-snow disaster

地点
类别		 图像阈值法 阈值比值法
重度受灾 中度受灾 轻度受灾 重度受灾 中度受灾 轻度受灾

湖南省		 面积/104hm2 219.59 108.06 88.32 223.35 114.39 78.24
占比/% 52.79 25.98 21.23 53.69 27.50 18.81

道县		 面积/104hm2 3.85 2.21 1.10 3.85 2.19 1.12
占比/% 53.79 30.81 15.40 53.78 30.61 15.61

江永县		 面积/104hm2 3.01 1.94 1.09 3.65 1.65 0.75
占比/% 49.80 32.18 18.02 60.38 27.23 12.40

新田县		 面积/104hm2 0.53 0.43 0.55 0.57 0.54 0.40
占比/% 34.83 28.77 36.40 38.01 35.59 26.40

浏阳市		 面积/104hm2 2.08 3.42 4.56 3.88 3.81 2.37
占比/% 20.68 34.00 45.33 38.56 37.85 23.59
Tab.2  Statistical results of loss assessment of forest ice-snow disaster
方法 类别 重度受灾 中度受灾 轻度受灾

图像阈值法		 面积/104hm2 0.53 0.43 0.55
占比/% 34.83 28.77 36.40

阈值比值法		 面积/104hm2 0.57 0.54 0.40
占比/% 38.01 35.59 26.40

人工调查法		 面积/104hm2 0.28 0.22 1.01
占比/% 18.50 14.53 66.97
Tab.3  Statistical results of loss assessment of forest ice-snow disaster in Xintian County
Fig.4  Spatial distribution of verification unit
地点 重度受灾 中度受灾 轻度受灾
江永县 2.96 1.72 1.37
浏阳市 4.00 3.69 2.36
Tab.4  Manual survey data in Jiangyong County and Liuyang County(104 hm2)

海拔
类别		 图像阈值法 阈值比值法
重度受灾 中度受灾 轻度受灾 重度受灾 中度受灾 轻度受灾

400 m以下		 面积/104hm2 107.81 46.69 29.59 89.30 55.49 39.30
占比/% 58.56 25.37 16.07 48.51 30.14 21.35

400~800 m		 面积/104hm2 83.82 43.37 37.51 94.47 41.92 28.32
占比/% 50.89 26.33 22.77 57.36 25.45 17.19

800 m以上		 面积/104hm2 27.91 18.01 21.26 39.58 16.98 10.62
占比/% 41.55 26.80 31.65 58.91 25.28 15.81
Tab.5  Damaged area of forest at different altitudes

坡向
类别		 图像阈值法 阈值比值法
重度受灾 中度受灾 轻度受灾 重度受灾 中度受灾 轻度受灾

北面		 面积/104hm2 22.68 11.64 9.30 23.58 11.85 8.18
占比/% 52.00 26.68 21.32 54.07 27.17 18.76

东北		 面积/104hm2 23.85 11.73 9.64 24.38 12.38 8.46
占比/% 52.73 25.94 21.33 53.91 27.38 18.72

西北		 面积/104hm2 28.73 14.62 11.38 29.81 14.59 10.32
占比/% 52.49 26.71 20.80 54.47 26.67 18.86

南面		 面积/104hm2 26.02 12.74 10.80 26.29 13.84 9.44
占比/% 52.50 25.71 21.79 53.04 27.92 19.04

东南		 面积/104hm2 33.83 15.80 13.56 33.60 17.70 11.90
占比/% 53.54 25.00 21.46 53.17 28.00 18.83

西南		 面积/104hm2 23.86 11.94 9.66 24.18 12.73 8.55
占比/% 52.48 26.26 21.26 53.19 28.00 18.82
Tab.6  Damaged area of forest at different aspect
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