Using multi-temporal modis data for mapping the paddy rice cultivation area in Ninh Binh Province, Vietnam | |
| Author | Le Van Dung |
| Call Number | AIT Thesis no.NR-12-09 |
| Subject(s) | Land use--Vietnam--Ninh Binh Rice--Remote sensing--Vietnam--Ninh Binh |
| Note | A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science in Natural Resources Management, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. NR-12-09 |
| Abstract | The paddy rice cultivation in the Red River Delta, Vietnam has an important role in food security, human health as well as environment. Ninh Binh Province is the one of main paddy cultivation regions of Red River Delta. Mapping paddy rice area in Ninh Binh Province by using remote sensing techniques are useful for the policy makers to manage and plan for food security and socio-economic development in the province as well as in region. There are many kinds of satellites that supply useful information for mapping and monitoring of paddy rice area such as MODIS, LANDSAT. Multi-temporal eight-day composite MODIS products (MOD09A1, MOD09Q1) and Landsat Thematic Mapper (TM) dataset for mapping paddy rice area. Two images of MODIS in 2010 without effects of clouds were chosen as input data of classification. MODIS images are classified by using Maximum Livelihood Classification algorithm in supervised classification, and then method of subpixel classification was implemented to increase accuracy of classification result of paddy rice area. The map of paddy rice cultivation area was created after using supervised classification and subpixel classification. The accuracy of results was over 74% (for 02 June 2010) and 78% (for 14 September 2010) of land use classification in MODIS images. These results are acceptable for the moderate spatial resolution images. Result of subpixel classification was over 86% (02 June 2010) and 90% (14 September 2010) of accuracy. The area estimation from MODIS was compared with area statistics from local government. R2 ≥ 0.90 showed the strong correlation between estimation data and statistical data from local government. The result of this study will be useful for local people and policy makers in management of paddy land use. |
| Keyword | MODIS; mapping; paddy rice; remote sensing; subpixel classification; supervised classification; Ninh Binh, Vietnam |
| Year | 2012 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. NR-12-09 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Development and Sustainability (DDS) |
| Academic Program/FoS | Natural Resources Management (NRM) |
| Chairperson(s) | Shrestha, Rajendra Prasad |
| Examination Committee(s) | Taravudh Tipdecho;Ranamukhaarachchi, S.L. |
| Scholarship Donor(s) | Ford Foundation;Asian Institute of Technology Fellowship;HAU;HUAF |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2012 |