Sugarcane Drought Monitoring Models And Its Application With Remotely Sensed Data From EOS/MODIS

Drought has caused the most severe loss in all of the meteorological disasters in the world. As the climate warmming, drought will be fearful farther in the global change environment. The remote sensing monitoring has been considered by numerous scientists as one of the important means for drought monitoring. The study focused on Regional Drought Monitoring Models only based on VCI and TCI from MODIS data in South China that has a mountainous topography. Using the Regional Drought Monitoring Models, the spatio-temporal pattern of regional drought and Sugarcane drought in Guangxi were studied from September to November in 2004～2006.First, land surface temperature and normalized different vegetation index derived from MODIS were used to establish Vegetation Condition Index(VCI) model, Temperature Condition Index(TCI) model and Vegetation-Temperature Index(DI) model, and the higher weight was assigned to the TCI in the DI model, Based data from October to November in 2004, by using correlative coefficients and R and CR, the reasonable of VCI and TCI and DI for drought monitoring is respectively evaluated in karst agriculture arid area and non-karst agriculture area in Guangxi. The results show that DI is the most promising method in monitoring drought for South China; TCI has the potential on monitoring drought while VCI is not competent for monitoring drought in South China.In addition, using the DI model, the spatio-temporal pattern of regional drought and Sugarcane drought in Guangxi from September to November was studied in 2004～2006. DI's spatio-temporal pattern was compared with the real drought condition from the observatories around Guangxi, thus DI's validity in evaluating drought was verified especially in South China that has a mountainous topography.Furthermore, by using geo-data and sample areas, the Sugarcane fields information was extracted with monthly NDVI from MODIS data in Guangxi and the Sugarcane drought dynamic remote sensing monitoring was achieved, the result was good.The innovations of this thesis are that using additive combination of VCI and TCI based on MODIS data, the Vegetation-Temperature Index (DI) model was constructed, and the higher weight was assigned to the TCI, research of information extraction of Sugarcane fields and achievement of regional drought and Sugarcane drought dynamic remote sensing monitoring with DI model in Guangxi province.