Pohl, C. and Kanniah, K. D. and Loong, C. K. (2016) Monitoring oil palm plantations in Malaysia. In: 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, 10 July 2016 through 15 July 2016, China.
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Abstract
Oil palm is recognized as the golden crop. It produces the highest oil yield among oil seed crops. Malaysia, as the world's second largest producer of palm oil, has 16 % of its lands planted with oil palms. Multisensor remote sensing plays an important role by providing relevant, timely and accurate information that can be developed into a plantation monitoring system to optimize production and sustainability. Synthetic aperture radar sensors deliver 'cloud-free' images. Optical remote sensing provides important physical parameters of the plantation using multispectral data acquisition. Both types of data are complementary and need to be exploited simultaneously to obtain a holistic view on the plantation. The research described in this paper anticipates the development of a multisensor image and data fusion system for oil palm plantation management.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | data fusion, GIS, Palm oil, remote sensing |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212-70.215 Geographic information system |
Divisions: | Geoinformation and Real Estate |
ID Code: | 72972 |
Deposited By: | Muhammad Atiff Mahussain |
Deposited On: | 27 Nov 2017 09:02 |
Last Modified: | 27 Nov 2017 09:02 |
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