农业干旱卫星遥感监测与预测研究进展
韩东, 王鹏新, 张悦, 田惠仁, 周西嘉

Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing
Dong HAN, Pengxin WANG, Yue ZHANG, Huiren TIAN, Xijia ZHOU
表1 主要干旱监测遥感指数
Table 1 Major remote sensing indices for drought monitoring
类型中文名称英文名称英文缩写定义
植被干旱指数归一化植被指数Normalized Difference Vegetation IndexNDVINDVI=(NIR-R)/(NIR+R) (1)
增强植被指数22Enhanced Vegetation IndexEVIEVI=2.5×(NIR-R)/(NIR+6×R-7.5×B+1) (2)
条件植被指数14Vegetation Condition IndexVCIVCI=(NDVIi-NDVImin)/(NDVImax-NDVImin)×100 (3)
距平植被指数23Anomaly Vegetation IndexAVIAVI=NDVIi-NDVImean (4)
垂直干旱指数24Perpendicular Drought IndexPDIPDI=1/((M2+1)-1/2)×(R+M×NIR) (5)
温度干旱指数条件温度指数15Temperature Condition IndexTCITCI=(TBmax-TBi)/(TBmax-TBmin)×100 (6)
归一化温度指数25Normalized Difference Temperature IndexNDTINDTI=(LST-LSTi)/(LST-LST0) (7)
综合植被-温度干旱指数植被健康指数26Vegetation Health IndexVHIVHI=λ×VCI+(1-λ)×(1-TCI) (8)
温度植被干旱指数27Temperature Vegetation Dryness IndexTVDITVDI=(Ts-Ts min)/(a+b×NDVI-Ts min) (9)
条件植被温度指数16Vegetation Temperature Condition IndexVTCI

VTCI=(LSTNDVIi max-LSTNDVIi)/(LSTNDVIi max-

LSTNDVIi min) (10)

LSTNDVIi max=a+b×NDVIi (11)

LSTNDVIi min=a'+b'×NDVIi (12)

水分干旱指数水分亏缺指数28Water Deficit IndexWDIWDI=1-ET/PET (13)
干旱严重程度指数29Drought Severity IndexDSI

DSI=(Z-Zmean)/σZ (14)

Z=(NDVI-NDVImean)/σNDVI+(ET/PET-(ET/PET)mean)/

σET/PET (15)

归一化差异水体

指数19

Normalized Difference Water IndexNDWINDWI=(R-SWIR)/(R+SWIR) (16)

短波红外水分胁迫

指数20

Shortwave Infrared Water Stress IndexSIWSISIWSI=(SWIR-NIR)/(SWIR+NIR) (17)
水分胁迫指数30Mositure Stress IndexMSIMSI=SWIR/NIR (18)
简单比值水分指数31Simple Ratio Water IndexSRWISRWI=(SWIR-NIR)/(SWIR+NIR) (19)

归一化多波段干旱

指数32

Normalized Multi-band Drought IndexNMDINMDI=(NIR-(SWIR1-SWIR2))/(NIR+(SWIR1+ SWIR2)) (20)
可见光和短波红外干旱指数33Visible and Short-wave Infrared Drought IndexVSDIVSDI=1-((SWIR-B)+(R-B)) (21)
微波干旱指数微波植被指数34Microwave Vegetation IndiceMVIMVI=(TBv(f2)-TBh(f2))/(TBv(f1)-TBh(f1)) (22)

温度微波植被干旱

指数35

Temperature Microwave Vegetation IndexTMVDITMVDI=(LSTi-LSTmin)/(a+b×MVI-LSTmin) (23)
土壤湿度指数21Soil Moisture IndexSMISMI=(σ00dry)/(σ0wet0dry)×100 (24)