Estimation of Fractional Canopy Cover of Bedul Mangrove Forest Using PlanetScope Imagery

Mahardhika, Shifa A and Kamal, Muhammad (2020) Estimation of Fractional Canopy Cover of Bedul Mangrove Forest Using PlanetScope Imagery. In: 2020 6th International Conference on Science and Technology (ICST), 7-8 September 2020, Yogyakarta, Indonesia.

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Abstract

The existence of mangrove forests has various roles for coastal ecosystems in terms of physical, biological, and chemical functions. Mangrove forests also play an important role in balancing environmental quality, neutralizing pollutants, and carbon sink in coastal environment. This study aims to (1) estimate the fractional canopy cover (Fcover) of mangroves using a semi-empirical approach utilizing PlanetScope imagery and (2) determine the accuracy of PlanetScope imagery in modeling mangrove Fcover. Field mangrove Fcover was acquired by hemispherical photography technique and calculated using CAN-EYE software. The canopy cover model was built by determining relationship between field Fcover values and PlanetScope pixel values at corresponding locations. The Normalized Difference Vegetation Index (NDVI) was used as proxy for developing the model. The results of field measurement show that mangrove Fcover in Bedul area, East Java Province, Indonesia has a value range of 1 to 66 (n = 24). The estimated canopy cover obtained from PlanetScope is dominated by a range of 44 to 85. While the accuracy value obtained is moderate with a maximum accuracy value of 48.77. © 2020 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 0; Conference name: 6th International Conference on Science and Technology, ICST 2020; Conference date: 7 September 2020 through 8 September 2020; Conference code: 177882
Uncontrolled Keywords: Forestry; Photography; Biological functions; Canopy cover; Coastal ecosystems; Fractional canopy cover; Hemispherical photographs; Mangrove; Mangrove forest; Normalized difference vegetation index; Physical function; Planetscope; Ecosystems
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Divisions: Faculty of Geography > Departemen Sains Informasi Geografi
Depositing User: Sri JUNANDI
Date Deposited: 28 May 2025 07:23
Last Modified: 28 May 2025 07:23
URI: https://ir.lib.ugm.ac.id/id/eprint/16953

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