Darmawan, Soni and Naser, Milad and Carolita, Ita (2018) STATE OF THE ART REMOTE SENSING TECHNOLOGY FOR OIL PALM MANAGEMENT IN INDONESIA. In: Proceedings Asian Conference on Remote Sensing 2018.
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Abstract
The oil palm industry is one of the most important sources of revenue for Indonesia but there are still many challenges that must be faced by the palm oil plantation management, one of which is to maintain production sustainability. The problem of palm oil plantations related to land resources requires effective and efficient technology inputs. Remote Sensing technology is one of the inputs that can be used as one of the decision support system (DSS) to decide the problem spatially quickly, accurately and dynamically. However, remote sensing technology has not been applied in Indonesian palm oil plantations. It is because of tropical climate conditions that tend to be covered with clouds that can inhibit the performance of remote sensing technology. Purpose this study is to review utilization of remote sensing technology in palm oil plantation in Indonesia. Based on the our review we found some journal paper in remote sensing application for oil palm from 1999 until now (2017). Remote sensing technology will produce a data in the form of description of palm oil conditions in the field which the data must be processed and re-analyzed using a customized method of management needs. The results revealed that remote sensing technology was able to provide output in the form of land mapping, tree volume estimation, palm fruit classification, palm oil growth, estimated age of plant, biomass estimates, palm oil productivity estimates, health detection and accurate mapping of palm oil diseases using the right method and opportunity the remote sensing application for oil palm management on the future in Indonesia
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Q Science > QE Geology |
Divisions: | 2 Fakultas Teknik Sipil dan Perencanaan > 29201 Teknik Geodesi S1 |
Depositing User: | Erma Sukmaida |
Date Deposited: | 08 Nov 2022 09:39 |
Last Modified: | 08 Nov 2022 09:39 |
URI: | http://eprints.itenas.ac.id/id/eprint/1987 |
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