Pohl, C. and Loong, C. K. (2016) In-situ data collection for oil palm tree height determination using synthetic aperture radar. In: 9th Symposium of the International Society for Digital Earth, ISDE 2015, 5 October 2015 through 9 October 2015, Canada.
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Abstract
The oil palm is recognized as the "golden crop," producing the highest oil yield among oil seed crops. Malaysia, the world's second largest producer of palm oil, has 16 per cent of its territory planted with oil palms. To cope with the increasing global demand on edible oil, additional areas of oil palm are forecast to increase globally by 12 to 19 million hectares by 2050. Due to the limited land bank in Malaysia, new strategies have to be developed to avoid unauthorized clearing of primary forest for the use of oil palm cultivation. Microwave remote sensing could play a part by providing relevant, timely and accurate information for a plantation monitoring system. The use of synthetic aperture radar (SAR) has the advantage of daylight- and weather-independence, a criterion that is very relevant in constantly cloud-covered tropical regions, such as Malaysia. Using interferometric SAR, (InSAR) topographical and tree height profiles of oil palm plantations can be created; such information is useful for mapping oil palm age profiles of the plantations in the country. This paper reports on the use of SAR and InSAR in a multisensory context to provide up-to-date information at plantation level. Remote sensing and in-situ data collection for tree height determination are described. Further research to be carried out over the next two years is outlined.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Crops, Data acquisition, Forestry, Radar, Remote sensing, Synthetic aperture radar |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > G Geography (General) > G70.212-70.215 Geographic information system |
Divisions: | Geoinformation and Real Estate |
ID Code: | 73278 |
Deposited By: | Muhammad Atiff Mahussain |
Deposited On: | 27 Nov 2017 02:00 |
Last Modified: | 27 Nov 2017 02:00 |
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