Mapping paddy cultivation and crop burn areas using MODIS in Mekong Delta, Vietnam | |
| Author | Pham Duy Tien |
| Call Number | AIT Thesis no.RS-11-14 |
| Subject(s) | Agricultural wastes--Vietnam Burning of land--Vietnam Straw--Vietnam |
| Note | A Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information System |
| Publisher | Asian Institute of Technology |
| Abstract | The agricultural burning in the Mekong Delta, Vietnam, has caused certain effects to human health as well as environment. So far, the carbon emission from this burning is not accurately estimated since there are not enough reliable data of total burnt areas, which change so much from time to time and from place to place. In response to this need there is one most up-to-date effective method: using advanced geospatial information derived from high-resolution satellites, known as Remote Sensing Method. Many kinds of observational satellites have continuously been providing useful information for monitoring and assessment of biomass burning activities. Remotely sensed data derived from a variety of sensors ( MODIS, LANDSAT and ASTER) has been used in mapping paddy fields and measuring burnt areas in the Mekong Delta. Today MODIS (e.g. moderate-resolution imaging spectroradiometer) can provide us with accurate images at 500-m resolution and in combination of composites at a global scale with the frequency of almost every day. In this method: the red band, the near-infrared band, the green band and the short wave infrared band are combined in order to give most reliable images. Together with the application of threshold and analysis of classified data, these tools help us define burnt regions within the Mekong Delta. This work also requires using extractions of Albedo spectral indexes, as well as NMDI and NDVI. They show lower values on burnt patches during dry seasons from Feb to Apr in two years of investigation. This method gives considerably reliable data of burnt scars during dry seasons. Therefore, MODIS is the most applicable tool in fire monitoring within the Mekong Delta in VN. |
| Year | 2011 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar |
| Examination Committee(s) | Kamiya, Yoshikazu;Vivarad Phonekeo |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship;The Training and Research Improvement Grant of An Giang University |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2011 |