| Author | Hoque, Md. Ahasanul |
| Call Number | AIT Thesis no.RS-11-06 |
| Subject(s) | Carbon dioxide sinks--Mathematical models
|
| Note | A thesis submitted in partial fulfillment of the requirements fo r the degree of Master of Science in Remote Sensing and Geographic lnfonnation Systems, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-11-06 |
| Abstract | The role of C02 sinks has become more broadly known because of its role in the Clean
Development Mechanism or Carbon Trading and Kyoto Protocol. The lack of easier,
accurate, technically improved and environment friendly approaches for C02 sink
quantifications of above ground biomass are leading the slow implementations of the
Kyoto Protocol. Many researchers have shown that remote sensing data can be used for
approximation ground biomass, seasonal yield and carbon sequestration. Remote sensing
technology can be implemented at a regional or global scale to observe vegetation pattern
and carbon balance. This research study investigated the use and efficiency of different
resolution remote sensing data in the assessment of carbon sequestered by different land
covers in Nakhon Nayok province of Thailand. Using allometric equations to calculate
C02 sink from aboveground biomass in-situ and accordingly sequestered C02 amount in
t/ha, three different resolutions remotely sensed data was used to estimate sequestered C02
amount over the same area. For accounting C02 seqestration this study use the data
derived from the Surface Energy Balance Algorithm for Land (SEBAL) and the Carnegie
Ames, Stanford Approach (CASA). From the 31 field sample points the sequestered C02
of the study area were compared to the sequestered value derived from the CASA model
used on ASTER 15m, LANDSAT 30m and MODIS 250m image. Total 6.12 million ton,
8.33 million ton and 10.39 million ton of sequestered C02 were found for ASTER,
LANDSAT and MODIS data respectively. Although the results in this study show a
significant relationship between field and model methods, the remote sensing approach
shows potential to accurately estimate carbon in fine resolution rather than coarse
resolution. For considering the cell number, this model provided different values of sinks
for same area, therefore a down scaling initiative was also taken from coarse tomedium
and fine resolution for achieving C02 sequestered value of medium and fine resolution
image. A scale factor has developed for MODIS 250m resolution image to achieve the
result of LANDSAT 30m image. The scale factor for MODIS 250m is 0.801 and for
downscaled MODIS 30m is 0.78 to achievthe sink result of LANDSAT 30m which has a
significant relationship with real world. Therefore this study gave an insight in the
possible application of remote sensing in carbon monitoring and potential of Nakhon
Nayok province for CDM projects in Thailand for reducing greenhouse gas emissions to
meet their targets when carbon becomes an internationally tradable commodity. |
| Year | 2011 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-11-06 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar
|
| Examination Committee(s) | Coechard, Roland;Krishna, I.V. Murali;Taravudh Tipdecho |
| Scholarship Donor(s) | Government of Japan |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2011 |