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Estimation of oil palm canopy height based C-band SAR.

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Titel: Estimation of oil palm canopy height based C-band SAR.
Autoren: Hernawati, Rika, Darmawan, Soni
Quelle: AIP Conference Proceedings; 2025, Vol. 3351 Issue 1, p1-6, 6p
Schlagwörter: OIL palm, TREE height, SCIENTIFIC computing, RADAR interferometry, TREE growth, SYNTHETIC aperture radar, VEGETATION patterns, CROP yields
Abstract: Oil palm canopy height is an indicator of tree growth and health, and it contributes to plantation productivity. Canopy height can be estimated using Interferometric Synthetic Aperture Radar (InSAR) technology. The aim of this study is to develop the oil palm canopy height estimation based on InSAR Sentinel-1A data. The study area is in Asahan Regency, which is an oil palm plantation area managed by PT. Perkebunan Nusantara (PTPN) III Sei Dadap Plantation. The data include two Sentinel-1A with acquisition on November 14, 2022, and November 26, 2022, DEMNAS for DEM data, and 160 points of tree canopy height for each oil palm age block from age of 0.5 to 22 years. The methodology includes preprocessing, interferogram generation, phase unwrapping, conversion to height, and calculation of canopy height model. The results showed the area of canopy height has value from 0 to 84.75 meters, has a positive linear correlation (y = 0.8427x + 2.7142 and R2 = 0.94) with the age of oil palm trees. CHM with InSAR offers a reliable and flexible approach for monitoring oil palm farms, providing useful insights for plantation management and decision-making. Although the InSAR technique has shown promising results, there is a requirement for additional improvement in data processing and model calibration to increase accuracy, especially in areas with complex vegetative structures. [ABSTRACT FROM AUTHOR]
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Datenbank: Complementary Index
Beschreibung
Abstract:Oil palm canopy height is an indicator of tree growth and health, and it contributes to plantation productivity. Canopy height can be estimated using Interferometric Synthetic Aperture Radar (InSAR) technology. The aim of this study is to develop the oil palm canopy height estimation based on InSAR Sentinel-1A data. The study area is in Asahan Regency, which is an oil palm plantation area managed by PT. Perkebunan Nusantara (PTPN) III Sei Dadap Plantation. The data include two Sentinel-1A with acquisition on November 14, 2022, and November 26, 2022, DEMNAS for DEM data, and 160 points of tree canopy height for each oil palm age block from age of 0.5 to 22 years. The methodology includes preprocessing, interferogram generation, phase unwrapping, conversion to height, and calculation of canopy height model. The results showed the area of canopy height has value from 0 to 84.75 meters, has a positive linear correlation (y = 0.8427x + 2.7142 and R<sup>2</sup> = 0.94) with the age of oil palm trees. CHM with InSAR offers a reliable and flexible approach for monitoring oil palm farms, providing useful insights for plantation management and decision-making. Although the InSAR technique has shown promising results, there is a requirement for additional improvement in data processing and model calibration to increase accuracy, especially in areas with complex vegetative structures. [ABSTRACT FROM AUTHOR]
ISSN:0094243X
DOI:10.1063/5.0299826