Sensors 2014, 14(5), 8259-8282; doi:10.3390/s140508259
Article

Capability of Integrated MODIS Imagery and ALOS for Oil Palm, Rubber and Forest Areas Mapping in Tropical Forest Regions

1,2,* email, 2email, 1email, 3email and 1email
Received: 16 January 2014; in revised form: 2 April 2014 / Accepted: 30 April 2014 / Published: 7 May 2014
(This article belongs to the Section Remote Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Various classification methods have been applied for low resolution of the entire Earth’s surface from recorded satellite images, but insufficient study has determined which method, for which satellite data, is economically viable for tropical forest land use mapping. This study employed Iterative Self Organizing Data Analysis Techniques (ISODATA) and K-Means classification techniques to classified Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance satellite image into forests, oil palm groves, rubber plantations, mixed horticulture, mixed oil palm and rubber and mixed forest and rubber. Even though frequent cloud cover has been a challenge for mapping tropical forests, our MODIS land use classification map found that 2008 ISODATA-1 performed well with overall accuracy of 94%, with the highest Producer’s Accuracy of Forest with 86%, and were consistent with MODIS Land Cover 2008 (MOD12Q1), respectively. The MODIS land use classification was able to distinguish young oil palm groves from open areas, rubber and mature oil palm plantations, on the Advanced Land Observing Satellite (ALOS) map, whereas rubber was more easily distinguished from an open area than from mixed rubber and forest. This study provides insight on the potential for integrating regional databases and temporal MODIS data, in order to map land use in tropical forest regions.
Keywords: accuracy mapping; forest; oil palm; rubber; tropical regions; ALOS; MODIS
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MDPI and ACS Style

Razali, S.M.; Marin, A.; Nuruddin, A.A.; Shafri, H.Z.M.; Hamid, H.A. Capability of Integrated MODIS Imagery and ALOS for Oil Palm, Rubber and Forest Areas Mapping in Tropical Forest Regions. Sensors 2014, 14, 8259-8282.

AMA Style

Razali SM, Marin A, Nuruddin AA, Shafri HZM, Hamid HA. Capability of Integrated MODIS Imagery and ALOS for Oil Palm, Rubber and Forest Areas Mapping in Tropical Forest Regions. Sensors. 2014; 14(5):8259-8282.

Chicago/Turabian Style

Razali, Sheriza M.; Marin, Arnaldo; Nuruddin, Ahmad A.; Shafri, Helmi Z.M.; Hamid, Hazandy A. 2014. "Capability of Integrated MODIS Imagery and ALOS for Oil Palm, Rubber and Forest Areas Mapping in Tropical Forest Regions." Sensors 14, no. 5: 8259-8282.

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