AI SearchAgricultural drought monitoring in the dry zone of Myanmar using MODIS data
Call Number: AIT Thesis no.RS-15-03 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. RS-15-03Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2015Description: 48 leaves : illSubject(s): Online resources: Dissertation note: Thesis (M. Sc.) - Asian Institute of Technology, 2015 Summary: 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.
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20-AIT Publication
|
Asian Institute of Technology Library AIT Publications | AIT Thesis no.RS-15-03 (Browse shelf(Opens below)) | 1 | Available | 30050120517379 | |||||||||||||
|
20-AIT Publication
|
Asian Institute of Technology Library AIT Publications | AIT Thesis no.RS-15-03 (Browse shelf(Opens below)) | 2 | Available | 30050120517346 | |||||||||||||
40-Archives
|
Asian Institute of Technology Library Archives | AIT Thesis no.RS-15-03 (Browse shelf(Opens below)) | Available | 30050120401301 | ||||||||||||||
|
20-AIT Publication
|
Asian Institute of Technology Library Archives | AIT Thesis no.RS-15-03 (Browse shelf(Opens below)) | 3 | Available | 30050120993505 |
A thesis Submitted in partial fulfillment ofthe requirements for the degree of Master of Science in Remote Sensing and Geographic Information System
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.
Thesis (M. Sc.) - Asian Institute of Technology, 2015
There are no comments on this title.