May Sabai Oo <br/><br/>
Agricultural drought monitoring in the dry zone of Myanmar using MODIS data 

 - Pathum Thani, Thailand :  Asian Institute of Technology,  2015 
 - 48 leaves :  ill.  
 - Thesis ;  no. RS-15-03 .
 - Asian Institute of Technology.  Thesis ;  no. RS-15-03 .
<br/><br/> A thesis Submitted in partial fulfillment ofthe requirements for the degree of Master of Science in Remote Sensing and Geographic Information System 
<br/><br/>Thesis (M. Sc.) - Asian Institute of Technology, 2015 
<br/><br/> Agricultural production  is  somewhat controlled by climate and climate factor, agriculture is the most vulnerably affected by climate change. On the other hand, food and nutrient are basic  need  for  human  daily  subsidence.  Thus,  most of  concern  sector  are  challenged  by climate change impacts in agriculture.As the Myanmar is an agricultural based country, itis highly vulnerable to climate change because agricultural sector is being the backbone of its economy.Drought is difficult to issue in forecasting and warning for meteorologists and researchers.Drought  is  a  natural  hazard  considered  to  be  part  of  the  climate.  This  study focused on two main parts which are thorough analysis of available MODIS satellite images of NDVI and LST and meteorological data in dry zone region in the Republic of the Union of Myanmar.MODIS satellite images wereused for Agricultural drought in this study. They wereidentified  using  TVDI  which  is  basically  a  function  of  NDVI  and  LST.Monthly rainfall, monthly mean Maximum and monthly mean Minimum Temperature data were be used  for definingdroughtseverity  and  duration,  and  for  predicting  the  onset  and  end  of periods of drought.In this study drought was identified using meteorological data which is basically a function of RDI. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Droughts--Myanmar<br/>Land use--Remote sensing--Myanmar<br/>Droughts--Remote sensing--Myanmar