Staff View: Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia

Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia

Continuous oil palm distribution maps are essential for effective agricultural planning and management. Due to the significant cloud cover issue in tropical regions, the identification of oil palm from other crops using only optical satellites is difficult. Based on the Google Earth Engine (GEE), th...

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Main Authors:	Zeng, Ju, Tan, Mou Leong, Tew, Yi Lin, Zhang, Fei, Wang, Tao, Samat, Narimah, Tangang, Fredolin, Yusop, Zulkifli
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/100607/1/ZulkifliYusop2022_OptimizationofOpenAccessOpticalandRadarSatellite.pdf http://eprints.utm.my/id/eprint/100607/ http://dx.doi.org/10.3390/agriculture12091435
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id	my.utm.100607
record_format	eprints
spelling	my.utm.1006072023-04-30T08:13:36Z http://eprints.utm.my/id/eprint/100607/ Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia Zeng, Ju Tan, Mou Leong Tew, Yi Lin Zhang, Fei Wang, Tao Samat, Narimah Tangang, Fredolin Yusop, Zulkifli TA Engineering (General). Civil engineering (General) Continuous oil palm distribution maps are essential for effective agricultural planning and management. Due to the significant cloud cover issue in tropical regions, the identification of oil palm from other crops using only optical satellites is difficult. Based on the Google Earth Engine (GEE), this study aims to evaluate the best combination of open-source optical and microwave satellite data in oil palm mapping by utilizing the C-band Sentinel-1, L-band PALSAR-2, Landsat 8, Sentinel-2, and topographic images, with the Muda River Basin (MRB) as the test site. The results show that the land use land cover maps generated from the combined images have accuracies from 95 to 97%, the best combination goes to Sentinel-1 and Sentinel-2 for the overall classification. Meanwhile, the best combination for oil palm classification is C5 (PALSAR-2 + Landsat 8), with the highest producer accuracy (96%) and consumer accuracy (100%) values. The combination of C-band radar images can improve the classification accuracy of oil palm, but compared with the combination of L-band images, the oil palm area was underestimated. The oil palm area had increased from 2015 to 2020, ranging from 10% to 60% across all combinations. This shows that the selection of optimal images is important for oil palm mapping. MDPI 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/100607/1/ZulkifliYusop2022_OptimizationofOpenAccessOpticalandRadarSatellite.pdf Zeng, Ju and Tan, Mou Leong and Tew, Yi Lin and Zhang, Fei and Wang, Tao and Samat, Narimah and Tangang, Fredolin and Yusop, Zulkifli (2022) Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia. Agriculture (Switzerland), 12 (9). pp. 1-19. ISSN 2077-0472 http://dx.doi.org/10.3390/agriculture12091435 DOI : 10.3390/agriculture12091435
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Zeng, Ju Tan, Mou Leong Tew, Yi Lin Zhang, Fei Wang, Tao Samat, Narimah Tangang, Fredolin Yusop, Zulkifli Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia
description	Continuous oil palm distribution maps are essential for effective agricultural planning and management. Due to the significant cloud cover issue in tropical regions, the identification of oil palm from other crops using only optical satellites is difficult. Based on the Google Earth Engine (GEE), this study aims to evaluate the best combination of open-source optical and microwave satellite data in oil palm mapping by utilizing the C-band Sentinel-1, L-band PALSAR-2, Landsat 8, Sentinel-2, and topographic images, with the Muda River Basin (MRB) as the test site. The results show that the land use land cover maps generated from the combined images have accuracies from 95 to 97%, the best combination goes to Sentinel-1 and Sentinel-2 for the overall classification. Meanwhile, the best combination for oil palm classification is C5 (PALSAR-2 + Landsat 8), with the highest producer accuracy (96%) and consumer accuracy (100%) values. The combination of C-band radar images can improve the classification accuracy of oil palm, but compared with the combination of L-band images, the oil palm area was underestimated. The oil palm area had increased from 2015 to 2020, ranging from 10% to 60% across all combinations. This shows that the selection of optimal images is important for oil palm mapping.
format	Article
author	Zeng, Ju Tan, Mou Leong Tew, Yi Lin Zhang, Fei Wang, Tao Samat, Narimah Tangang, Fredolin Yusop, Zulkifli
author_facet	Zeng, Ju Tan, Mou Leong Tew, Yi Lin Zhang, Fei Wang, Tao Samat, Narimah Tangang, Fredolin Yusop, Zulkifli
author_sort	Zeng, Ju
title	Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia
title_short	Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia
title_full	Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia
title_fullStr	Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia
title_full_unstemmed	Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia
title_sort	optimization of open-access optical and radar satellite data in google earth engine for oil palm mapping in the muda river basin, malaysia
publisher	MDPI
publishDate	2022
url	http://eprints.utm.my/id/eprint/100607/1/ZulkifliYusop2022_OptimizationofOpenAccessOpticalandRadarSatellite.pdf http://eprints.utm.my/id/eprint/100607/ http://dx.doi.org/10.3390/agriculture12091435
_version_	1765296676666343424
score	13.211869

Optimization of open-access optical and radar satellite data in Google Earth engine for oil palm mapping in the Muda River Basin, Malaysia

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