| Author | Nguyen Xuan Vy |
| Call Number | AIT Thesis no.AQ-04-15 |
| Subject(s) | Seagrasses--Remote sensing--Thailand--Krabi
Geographic information systems--Thailand--Krabi
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. AQ-04-15 |
| Abstract | Seagrass beds in Thailand have been estimated to cover about 94 km2
. Several
studies found that seagrasses coverage and associated biota are degraded and lost in recent
years because of a number of factors, mainly due to illegal fishing and land development
activities. Nowadays, Thai government has been developing a strategic plan for seagrass
management in order to achieve a sustainable development.
Krabi estuary is a part of Phangnga Bay, the Andaman Sea. Seagrass bed occurring
in Koh Siboya is the third biggest in Thailand. Nine species of seagrass were recorded in
the study area, and the total area of seagrass is more than 10 km2
• Seagrass beds in Koh
Siboya have been using as main fishing ground by local communities. However, these
seagrass beds are under threats from fishing activities, channel dredging and land
development activities.
This study aimed at developing an approach of using high spatial resolution image -
IKONOS for developing seagrass bed map. LAI, PCA and FCC models are applied to
enhance image. Maximum Likelihood Classification is used for classification. User
accuracy of mapping seagrass achieved in this study is 87,9%. Results from image analysis
show that the total area of seagrass bed is 9.344 km2 in which the dense seagrass beds
coverage 60 - 75% occupy 27% of the area. Moreover, the relationship of environmental
data and distribution of seagrass beds is also exploited in this study. In addition, two others
satellite images including Landsat TM and ASTER are also used to compare with
IKONOS satellite image.
Recommendation the guideline of integrated management for seagrass ecosystem
include four scenarios: industrial scenario, nature scenario, co-management scenario and
education scenario was developed. |
| Year | 2004 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. AQ-04-15 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Food, Agriculture and Natural Resources (Former title: Department of Food Agriculture, and BioResources (DFAB)) |
| Academic Program/FoS | Aquaculture and Aquatic Resources Management (AQ) |
| Chairperson(s) | Tripathi, Nitin Kumar; |
| Examination Committee(s) | Pedersen, Ole;Ikejima, Kou; |
| Scholarship Donor(s) | Danish International Development Assistance; |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2004 |
