Semi arid region agricultural drought predictive model in Telangana tegion India using day time temporal data | |
| Author | Deepika, Namala |
| Call Number | AIT Thesis no.RS-17-19 |
| Subject(s) | Agriculture--Forecasting--Arid regions Droughts--India |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-17-19 |
| Abstract | 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 subsiden ce. Thus, most of concern sector s are challenged by climate change impact s in agriculture. As the Telangana is an agricultural based state , it is highly vulnerable to climate change because agricultural sector is being the backbone of its econom y. Drought is difficult to discussing 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 image s of NDVI and LST and meteorological data in dry zone region in the Telangana . MODIS satellite images were used for Agricultural drought in this study. They were identified 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 defining drought severity 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. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-17-19 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Nitin Kumar Tripathi |
| Examination Committee(s) | Indrajit Pal;Hiroyuki Miyazaki |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2017 |