Forest biomass assessment and area change detection in Thailand using remote sensing | |
| Author | Vasudeo, Joshi Satishchandra |
| Call Number | AIT Thesis no.ET-85-5 |
| Subject(s) | Remote sensing Biomass energy--Thailand |
| Note | A thesis submitted in partial fulfillment of requirements for the degree of Master of Engineering, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Abstract | A predominantly linear relationship has been established between mangrove forest biomass and corresponding visible and near-infrared spectral channel values in digital form from the LANDSAT Multi-Spectral Scanner. The relationship for tropical evergreen forest biomass is strongly non-linear. The relationship of forest biomass decreases in strength with increasing visible wavelength reflectance. The relationship was determined by using biomass ground truth data and spectral reflectance values in digital form. Correlation, multispectral classification, and multiple regression techniques were employed to interrogate the relationship between tropical forest biomass and spectral reflectance. The correlation analysis revealed a linear relationship between mangrove forest biomass and several popular channel transformations (Transformed Vegetation Index, Normalised Difference, Perpendicular Vegetation Index, Eigenvector 2), and the MSS visible and near-infrared bands. Seventy seven percent (r * * 2) of the mangrove biomass variance was explained by the MSS visible channel, and eighty four percent by the Transformed Vegetation Index. The change detection in the areal extent of forest types was more accurately determined by supervised multispectral classification using the maximum likelihood algorithm, than by unsupervised multispectral classification by parallelepiped algorithm or visual interpretation. The accuracy of correct classification at ninety percent confidence limit was determined to be ninety two percent. These results suggest a potential for a reasonable estimation and monitoring of tropical forest biomass using LANDSAT MSS imagery. |
| Year | 1985 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Bryan, M.L. ;Bhattacharya, Sribas C. |
| Examination Committee(s) | Exell, Robert H.B. ;Kaew Naulchawee |
| Scholarship Donor(s) | Government of Australia |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1985 |