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Publication
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| Research Title |
Integrated Satellite-Derived Indices to Estimate Change Detection of Vegetation Canopy
Density in the Lower Chi Basin, Northeast Thailand |
| Date of Distribution |
23 February 2017 |
| Conference |
| Title of the Conference |
The 20th Computer Science & Engineering Conference 2016 |
| Organiser |
Faculty of Science and Faculty of Business Administration Maejo Univesity, Chiang Mai, Thailand. |
| Conference Place |
Chiang Mai Orchid Hotel, Chiang Mai, Thailand. |
| Province/State |
เชียงใหม่ |
| Conference Date |
14 December 2016 |
| To |
17 December 2016 |
| Proceeding Paper |
| Volume |
2017 |
| Issue |
20 |
| Page |
47 |
| Editors/edition/publisher |
Faculty of Science and Faculty of Business Administration Maejo Univesity, Chiang Mai, Thailand. |
| Abstract |
Riparian forest is an important perceptible ecosystem
that preserves the loss of natural filtering of sediment, water
quality, wildlife habitat and connectivity with other adjacent
landscapes. Agricultural encroachment on the riparian has
significant impact on the overall ecosystem of watershed areas.
Change detection of the riparian canopy density should be
investigated for better management of vegetation within the
watershed. This study aims to identify the vegetation canopy
density and its spatial distribution, using an integration of
satellite-derived indices. The study area, the Lower Chi basin,
covers an area of about 277,097.55 ha. and is located in the
central part of northeastern Thailand. The Landsat 4 TM
(Thematic Mapper) and Landsat 8 OLI (Operational Land
Imager) data acquired on January 22, 1989 and January 6, 2015
covering the study area were used for analysis process. A spatial
integration of Vegetation Index (VI), Bare Soil Index (BI) and
Shadow Index (SI) was digitally performed and analyzed to
classify the Vegetation Canopy Density (VCD). In addition,
ground truth investigation of 70 exemplars was conducted to
establish the reliability of model used for VCD and land cover
and land use types. Regarding the change detection of VCD, the
result obtained shows a significant change of the vegetation area
and its VCD between 1989-2015. A significant increase of the
total area of riparian vegetation was identified. The findings
indicate that the area of VCD > 70% increases from 16.49% in
1989 to 35.55% in 2015. The largest fall in the VCD 10-40% area
from 1989 to 2015 are 12.89%, accounting for 35,713.03 ha. The
total of the increased area of riparian vegetation with high VCD
is mainly attributed to an encroaching agriculture. The
agreement between the result obtained and the ground
observation for the VCD in 2015 is reliably obtained with Kappa
coefficient of 0.76. The study model shows advantages in an
approach to integrating the indices for vegetation conditions of
which the VCD and its land cover land use are clarified for better
watershed management. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Journal Publication
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