title: [Monitoring of farmland drought based on LST-LAI spectral feature space].
abstract: Farmland drought has the characteristics of wide range and seriously affecting on agricultural production, so real-time dynamic monitored has been a challenging problem. By using MODIS land products, and constructing the spectral space of LST and LAI, the temperature LAI drought index (TLDI) was put forward and validated using ground-measured 0-10 cm averaged soil moisture of Ningxia farmland. The results show that the coefficient of determination (R2) of both them varies from 0.43 to 0.86. Compared to TVDI, the TLDI has higher accuracy for farmland moisture monitoring, and solves the saturation of NDVI during the late development phases of the crop. Furthermore, directly using MODIS land products LST and LAI and avoiding the complicated process of using the original MODIS data provide a new technical process to the regular operation of farmland drought monitoring.
authors.affiliation: China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China. sxx5666@163.com
authors.forename: Xin-Xin
authors.initials: XX
authors.lastname: Sui
authors.forename: Qi-Ming
authors.initials: QM
authors.lastname: Qin
authors.forename: Heng
authors.initials: H
authors.lastname: Dong
authors.forename: Jin-Liang
authors.initials: JL
authors.lastname: Wang
authors.forename: Qing-Ye
authors.initials: QY
authors.lastname: Meng
authors.forename: Ming-Chao
authors.initials: MC
authors.lastname: Liu
mesh_terms: D018556:Crops, Agricultural / Q000254:growth & development*; D055864:Droughts; D017753:Ecosystem; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D018515:Plant Leaves / Q000737:chemistry*; D058998:Remote Sensing Technology / Q000379:methods*; D012987:Soil / Q000737:chemistry; D013696:Temperature; D014867:Water / Q000032:analysis
chemical_list: D012987:Soil; D014867:Water