The use of NOAA/AVHRR data for sustainable agricultural land utilization | |
| Author | Canisius, Francis Xavier Jorin |
| Call Number | AIT Thesis no. SR-96-3 |
| Subject(s) | Remote sensing Geographic information systems Land use, Rural |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science. |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. SR-96-3 |
| Abstract | In recent years significant effort has gone into collecting, processing, and analyzing data derived from the National Oceanic and Atmospheric Administration (NOAA) I Advance Very High Resolution Radiometer (A VHRR) for environmental applications. This study examines whether A VHRR data can be used for determining the extent of nutrient removal from the soil under cultivation. The time frame chosen is the seven months span between 1995 October to 1996 April, and the study area was Nakhon Ratchasima province, one of the largest agricultural area in Thailand. Simple methods were used to process the images and seven images during the study period were merged to generate multi-temporal data sets. Three main approaches to land cover classification were considered, namely the use of the combination of multi-spectral bands, principal components and vegetation indices of single image, the use of the principal components transformed multi-temporal image, and the application of minimum distance and maximum likelihood rule of Normalized Difference Vegetation Index (NDVI) multi-temporal data set. Comparison of result from training sites indicates that the third approach yields the most accurate results. Despite the reliance on training site (field location) figures for performance assessment, the result of maximum likelihood rule to NDVI multi-temporal data set is nevertheless extremely encouraging, with accuracy for selected crop cover types around 86 percent. Finally classified image combined with ancillary information was used as an input for Geographic Information System (GIS) to find out the nutrient removal. The result shows the spatial distribution of nutrient removal and it requires further field verification. The study concluded with the remark that integration of digital image processing ofNOAA/AVHRR data with GIS is very effective tool for estimating an environmental problem such as nutrient removal. As issues of nutrient removal and intensive cultivation become increasingly contentious and conflict-ridden, the ability to provide up-to-date and accurate information to help guide and resolve the agricultural planning with sustainable manner is essential. |
| Year | 1996 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. SR-96-3 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Space Technology Application and Research (SR) |
| Chairperson(s) | Apisit Eiumnoh; |
| Examination Committee(s) | Tawatchai Tingsanchali;Honda, Kiyoshi; |
| Scholarship Donor(s) | Swedish International Development Corporation Authority.; |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 1996 |