Journal of Geo-information Science, Volume. 22, Issue 2, 298(2020)
Figures & Tables(6)
Fig. 1. Location and elevation of the Sanjiangyuan eco- environmental protection zone
Fig. 3. Regression analysis between MODIS NDSI thresholds and average NDSI of pure permanent snow
Fig. 4. Spatial differences of monitoring results by different monitoring methods based on the two-period data
Table 1. Landsat8-OLI images used for this study
View tableView in ArticleTable 1. Landsat8-OLI images used for this study
编号 成像日期 行列号 编号 成像日期 行列号 01 2013-11-04 139036 02 2013-11-06 137035 03 2013-11-15 136035 04 2013-11-22 137036 05 2013-11-29 138036 06 2013-12-01 136037 07 2013-12-03 134036 08 2013-12-08 137035 09 2013-12-28 133036 10 2014-10-31 138036 11 2014-11-09 137035 12 2014-11-13 133036 13 2014-11-16 138035 14 2014-12-02 138035 15 2014-12-29 135037 16 2014-12-31 133036 17 2015-01-09 132036 18 2015-02-06 136037 19 2015-01-21 136037 20 2015-03-21 133036 21 2015-04-22 133035 22 2015-11-16 133036 23 2015-11-28 137036 24 2016-01-08 136036 25 2016-01-17 135037 26 2016-02-04 133036 27 2016-10-17 133036 28 2016-10-22 136037 29 2016-10-31 135037 30 2016-12-04 133037 31 2017-01-01 137036 32 2017-01-05 133036 33 2017-02-04 135037 34 2017-04-30 138036 35 2017-10-27 134036 36 2017-11-01 137036 37 2017-11-05 133036 38 2017-11-08 138036 39 2017-11-12 134036 40 2017-11-19 135036 41 2017-12-30 134035 42 2018-01-01 132036 43 2018-03-29 133036 44 2018-11-07 133037 45 2018-11-21 135037 46 2018-11-23 133036 47 2018-12-25 133036 48 2018-11-30 134036 49 2018-12-16 134035 50 2019-01-01 134036
Table 2. Monitoring accuracies based on dynamic NDSI thresholds versus the fixed NDSI threshold 0.33 （%）
View tableView in ArticleTable 2. Monitoring accuracies based on dynamic NDSI thresholds versus the fixed NDSI threshold 0.33 （%）
时间 精度指标 监测方法 动态比固定NDSI阈值 提高精度 动态NDSI阈值 固定NDSI阈值0.33 2013-11-04 近似率 97.58 82.45 15.13 总体分类精度 94.59 93.71 0.88 F 值87.05 83.30 3.75 2013-11-22 近似率 85.79 71.42 14.37 总体分类精度 90.95 88.33 2.62 F 值79.23 74.18 5.05 2013-12-03 近似率 96.66 93.94 2.72 总体分类精度 92.07 91.75 0.32 F 值87.85 87.55 0.30 2014-12-02 近似率 97.42 97.42 0.00 总体分类精度 95.85 95.85 0.00 F 值92.57 92.57 0.00 2015-11-16 近似率 98.01 94.64 3.37 总体分类精度 95.10 94.63 0.47 F 值96.58 96.32 0.26 2016-10-31 近似率 98.68 94.35 4.33 总体分类精度 98.83 98.15 0.68 F 值99.31 98.90 0.41 2017-10-27 近似率 94.59 92.55 2.04 总体分类精度 93.58 93.12 0.46 F 值93.23 92.67 0.56 2017-11-01 近似率 99.35 92.31 7.04 总体分类精度 92.30 91.85 0.45 F 值89.33 89.00 0.33 2017-11-12 近似率 98.56 97.98 0.58 总体分类精度 96.84 96.70 0.14 F 值96.93 96.80 0.13 2018-11-23 近似率 99.49 97.34 2.15 总体分类精度 96.13 95.15 0.98 F 值97.84 97.25 0.59
Tools
Get Citation
Copy Citation Text
Yuyan SUN, Lei ZHANG, Shanlong LU, Hongchao LIU.
Paper Information
Received: Mar. 26, 2019
Accepted: --
Published Online: Sep. 16, 2020
The Author Email: ZHANG Lei (zhanglei@radi.ac.cn)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20