地理科学 ›› 2014, Vol. 34 ›› Issue (8): 987-993.doi: 10.13249/j.cnki.sgs.2014.08.987
收稿日期:
2013-05-24
修回日期:
2013-08-26
出版日期:
2014-08-10
发布日期:
2014-08-10
作者简介:
作者简介:闫 峰(1973–),男,江苏连云港人,博士,主要从事环境遥感和灾害学研究。E-mail:
基金资助:
Feng YAN1,2(), Yan-jiao WANG3(
), Bo WU2
Received:
2013-05-24
Revised:
2013-08-26
Online:
2014-08-10
Published:
2014-08-10
摘要:
采用2011年5月28日MODIS多时间尺度数据产品和土壤相对含水量RSM数据,对河北省多时间尺度Ts-EVI特征空间旱情遥感监测的差异性进行了研究,结果表明:① 多时间尺度Ts-EVI特征空间的TVDI与土壤表层RSM具有较高的相关性,1 d尺度Ts和1 d、8 d尺度EVI构建的RSM-TVDI决定系数较高,8 d尺度的Ts和8 d、16 d尺度EVI的RSM-TVDI决定系数较低。② 多时间尺度Ts-EVI特征空间的旱情监测结果在空间分布上具有较好的一致性,但其面积存在一定的差异;旱情监测应用中Ts-EVI特征空间构建应首选1 d时间尺度的Ts和EVI,其次是1 d尺度的Ts和8 d尺度的EVI,再次为8 d尺度的Ts和8 d尺度的EVI。
中图分类号:
闫峰, 王艳姣, 吴波. 多时间尺度温度-植被指数特征空间旱情监测的差异性[J]. 地理科学, 2014, 34(8): 987-993.
Feng YAN, Yan-jiao WANG, Bo WU. Diversities of Drought Monitoring Based on Temperature-vegetation Index Featured Spaces with Multi-time Scale[J]. SCIENTIA GEOGRAPHICA SINICA, 2014, 34(8): 987-993.
表1
不同土壤深度RSM与TVDI的相关性"
时间尺度 | RSM-TVDI拟合方程 | ||
---|---|---|---|
Ts148-EVI148 | RSM10=0.6713×TVDI+0.8469 R2=0.1720 | RSM20=-0.8026×TVDI+0.9697 R2=0.4184 | RSM50=-0.5081×TVDI+0.8954 R2=0.1353 |
Ts148-EVI145 | RSM10=-0.6701×TVDI+0.8458 R2=0.1719 | RSM20=-0.8013×TVDI+0.9685 R2=0.4183 | RSM50=-0.5351×TVDI+0.9014 R2=0.1352 |
Ts148-EVI137 | RSM10=-0.6714×TVDI+0.8552 R2=0.1718 | RSM20=-0.8026×TVDI+0.9796 R2=0.4180 | RSM50=-0.5375×TVDI+0.9105 R2=0.1350 |
Ts145-EVI145 | RSM10=-0.6736×TVDI+0.8575 R2=0.1718 | RSM20=-0.8026×TVDI+0.9796 R2=0.4180 | RSM50=-0.5359×TVDI+0.9022 R2=0.1352 |
Ts145-EVI137 | RSM10=-0.6358×TVDI+0.8381 R2=0.1717 | RSM20=-0.7604×TVDI+0.9593 R2=0.4179 | RSM50=-0.5356×TVDI+0.9086 R2=0.1349 |
表4
多时间尺度Ts-EVI特征空间旱情监测面积"
时间尺度 | 干旱面积(km2) | ||||
---|---|---|---|---|---|
正常 | 轻旱 | 中旱 | 重旱 | 特旱 | |
Ts148-EVI148 | 34968.01 | 15357.63 | 7765.46 | 1113.45 | 88.08 |
Ts148-EVI145 | 34968.97 | 15343.26 | 7770.24 | 1121.11 | 89.04 |
Ts148-EVI137 | 34975.67 | 15350.92 | 7765.46 | 1111.54 | 89.04 |
Ts145-EVI145 | 34969.93 | 15345.18 | 7768.33 | 1120.16 | 89.04 |
Ts145-EVI137 | 34980.46 | 15354.75 | 7760.67 | 1107.71 | 89.04 |
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