Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari
Oil palm (Elaeis guineensis) plantations play important roles in the economics and sources of income to Malaysia. Accurate and reliable information on forecasts of resource availability and contribution of oil palm plantations on global carbon cycle are needed for its management efforts and plan...
| Main Author: | |
|---|---|
| Format: | Book Section |
| Language: | English |
| Published: |
Institute of Graduate Studies
2017
|
| Subjects: | |
| Online Access: | http://ir.uitm.edu.my/id/eprint/18926/ http://ir.uitm.edu.my/id/eprint/18926/1/ABS_NAZLIN%20ASARI%20TDRA%20VOL%2012%20IGS%2017.pdf |
| id |
uitm-18926 |
|---|---|
| recordtype |
eprints |
| spelling |
uitm-189262018-01-25T07:49:07Z http://ir.uitm.edu.my/id/eprint/18926/ Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari Asari, Nazlin Organic chemistry Biomass Oil palm (Elaeis guineensis) plantations play important roles in the economics and sources of income to Malaysia. Accurate and reliable information on forecasts of resource availability and contribution of oil palm plantations on global carbon cycle are needed for its management efforts and planning. The need for effective inventories and monitoring methods has prompted this research into supplementing the ground field survey with the information from satellite remote sensing for developing methods for oil palm plantation inventory. For monitoring purposes, the effective procedures were developed using three dates of Landsat Thematic Mapper (TM) imagery. Field-measured above ground biomass (AGB), stand volume and carbon stocks values from 230.8 ha of oil palm plantations were compared with individual Landsat TM bands and nine vegetation indices. The potential models selected were obtained using stepwise and backward elimination method where R2, adjusted R2, Standard Error of Estimate (SEE), Root Mean Squared Error (RMSE) and Cp were examined in model development and validation Institute of Graduate Studies 2017 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/18926/1/ABS_NAZLIN%20ASARI%20TDRA%20VOL%2012%20IGS%2017.pdf Asari, Nazlin (2017) Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari. In: The Doctoral Research Abstracts. IGS Biannual Publication, 12 (12). Institute of Graduate Studies, Shah Alam. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Organic chemistry Biomass |
| spellingShingle |
Organic chemistry Biomass Asari, Nazlin Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari |
| description |
Oil palm (Elaeis guineensis) plantations play important roles in the
economics and sources of income to Malaysia. Accurate and reliable
information on forecasts of resource availability and contribution of oil
palm plantations on global carbon cycle are needed for its management
efforts and planning. The need for effective inventories and monitoring
methods has prompted this research into supplementing the ground field
survey with the information from satellite remote sensing for developing
methods for oil palm plantation inventory. For monitoring purposes,
the effective procedures were developed using three dates of Landsat
Thematic Mapper (TM) imagery. Field-measured above ground biomass
(AGB), stand volume and carbon stocks values from 230.8 ha of oil
palm plantations were compared with individual Landsat TM bands and
nine vegetation indices. The potential models selected were obtained
using stepwise and backward elimination method where R2, adjusted R2,
Standard Error of Estimate (SEE), Root Mean Squared Error (RMSE)
and Cp were examined in model development and validation |
| format |
Book Section |
| author |
Asari, Nazlin |
| author_facet |
Asari, Nazlin |
| author_sort |
Asari, Nazlin |
| title |
Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari |
| title_short |
Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari |
| title_full |
Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari |
| title_fullStr |
Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari |
| title_full_unstemmed |
Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using landsat thematic mapper in Malaysia / Nazlin Asari |
| title_sort |
modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (elaeis guineensis) plantations using landsat thematic mapper in malaysia / nazlin asari |
| publisher |
Institute of Graduate Studies |
| publishDate |
2017 |
| url |
http://ir.uitm.edu.my/id/eprint/18926/ http://ir.uitm.edu.my/id/eprint/18926/1/ABS_NAZLIN%20ASARI%20TDRA%20VOL%2012%20IGS%2017.pdf |
| first_indexed |
2023-09-18T23:01:29Z |
| last_indexed |
2023-09-18T23:01:29Z |
| _version_ |
1777418203288305664 |