Title :
Application of two shortwave infrared water stress indices to drought monitoring over northwestern China
Author :
Zhao, Shaohua ; QIN, Qiming ; You, Lin ; Yao, Yunjun ; Yang, Nan ; Li, Jianping
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
Abstract :
Drought is a harmful and headachy natural disaster in the world, which has caused considerable loss to agricultural production and economy per year with high frequency. It is therefore very important and necessary for drought monitoring over large scales by remotely sensed techniques. In order to establish physically meaningful water stress index, the SWIR bands with strong water absorption features are used in this study, then the shortwave infrared water stress indices (SIWSI) are constructed using NIR and SWIR bands. A representative arid and semi-arid region over northwestern China, Ningxia region, where droughts occur frequently, is selected to assess the drought status using two indices of SIWSI6, 2 and SIWSI7, 2 derived from NIR channel 2 and SWIR channel 6 or 7 of Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, combining with ground truth data of soil moisture observed by the meteorological stations across the whole study area. The fitted regressions of negative exponential curves indicate that both indices have significantly correlated with the in-situ measurements (P<0.01), the greater of the indices, the drier of the land. The SIWSI6, 2 performs slightly better than the SIWSI7, 2 (r2 =3D0.56 and 0.48).
Keywords :
hydrological techniques; hydrology; radiometry; rain; remote sensing; MODIS sensor; Moderate Resolution Imaging Spectroradiometer; NIR bands; Ningxia region; SWIR bands; drought monitoring; northwestern China; semiarid region; shortwave infrared water stress index; water absorption features; Electromagnetic wave absorption; Frequency; Image sensors; Infrared surveillance; Large-scale systems; MODIS; Production; Remote monitoring; Soil moisture; Stress; Drought; MODIS; Shortwave infrared water stress index (SIWSI);
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417809