 |
| Titel |
ESTIMATION OF BIOMASS AND CARBON STOCKS IN RUBBER PLANTATION USING THAICHOTE SATELLITE IMAGERY |
| VerfasserIn |
Kitsanai Charoenjit, Pierpaolo Zuddas, Pascal Allemand |
| Konferenz |
EGU General Assembly 2014
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250087380
|
| Publikation (Nr.) |
 EGU/EGU2014-1418.pdf |
|
|
|
|
|
| Zusammenfassung |
| This goal of study is to improve model for estimate biomass and carbon stocks of rubber
plantation (clone RRIM 600) in sub-basin of mae num prasae, East Thailand with total area is
232 Km2. We mapped 2011 of the biomass and carbon stocks with the used of integrated
Thaichote satellite imagery and field data. In order to tree girth prediction and tree density
population, we applied the objected based image analysis (OBIA) which include image
mining and modeling by linear multiple regression, then estimate biomass and carbon stocks
in rubber plantation. The image mining includes spectral, vegetation, textural and
mask information for modeling construction. We found an parameters of the Global
Environmental Monitoring Index (GEMI) and texture of homogeneity, dissimilarity,
contrast and variance were accepted relationship of tree girt prediction with R2
0.865. The total amount of biomass and carbon stocks in study area is 2,227 Kt
and 991.5 KtC respectively. For summary of study area, the annual sequestered in
2011 is 121.3 tCO2 from the atmosphere and the rubber plantation at mature age
stage (25 years) had highest capacity of sequestered at 33.53 tCO2 ha-1 yr-1. |
|
|
|
|
|
|