Drought forecasting based on the vegetation temperature condition index using weighted Markov model
View Fulltext  View/Add Comment  Download reader
  
DOI:10.7606/j.issn.1000-7601.2008.06.38
Key Words: vegetation temperature condition index  weighted Markov model  drought forecasting
Author NameAffiliation
HAN Ping College of Science China Agricultural UniversityBeijing 100094 China 
WANG Pengxin College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China 
WANG Jiahui College of Science China Agricultural UniversityBeijing 100094 China 
SUN Wei College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China 
ZHU Dehai College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China 
Hits: 165
Download times: 125
Abstract:
      The spatial and time series of vegetation temperature condition index (VTCI) for Guanzhong Plain and Weibei Tablelands are analyzed using weighted Markov model.The VTCI images of 2 lead-time prediction are got.Comparing the monitoring images with the forecasting images,we can find the similar characters showing similar drought distribution between the monitoring image and the forecasting image.The further difference detection in difference images shows that the average difference of 1-step prediction is 0.042,and the average difference of 2-step prediction is 0.152.