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Article

Quantitative Assessment and Driving Force Analysis of Mangrove Forest Changes in China from 1985 to 2018 by Integrating Optical and Radar Imagery

Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
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ISPRS Int. J. Geo-Inf. 2020, 9(9), 513; https://doi.org/10.3390/ijgi9090513
Received: 17 July 2020 / Revised: 14 August 2020 / Accepted: 19 August 2020 / Published: 25 August 2020
Mangrove ecosystems are valuable, yet vulnerable, and therefore they have been an important subject of protection and restoration in China. Reliable information on long-term China mangrove dynamics is lacking but vital to analyze the driving forces and evaluate the efforts of mangrove conversation. This study aims to quantify the conversions among mangroves and other land covers with high accuracy. The updated mangrove base map for 2018 was produced by integrating Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar 2 (PALSAR-2) yearly mosaics and Landsat imagery with an overall accuracy of 95.23 ± 6.02%. Then, a novel approach combining map-to-image and image-to-image methods was proposed to detect the changed pixels in mangrove forests from 1985 to 2018. The mangrove base map was adopted to mask the images from other years. To determine the changed pixels, the differencing values in the masked area between two images were calculated and compared with the corresponding thresholds. Based on the changed pixels, the possible driving forces were analyzed and associated with socioeconomic development. The resultant mangrove dynamics demonstrated that mangrove forests in China experienced a tendency of loss first and recovery later during the past 30 years. Most mangrove gains came from aquaculture and mudflat, whilst losses were due to the built-up construction and aquaculture reclamation. These conversions indicated that mangrove deforestations were mainly due to human-induced destruction, while the recoveries were strongly associated with conservation and restoration actions. View Full-Text
Keywords: change detection; long-term dynamic; conservation; restoration; ALOS PALSAR change detection; long-term dynamic; conservation; restoration; ALOS PALSAR
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MDPI and ACS Style

Zheng, Y.; Takeuchi, W. Quantitative Assessment and Driving Force Analysis of Mangrove Forest Changes in China from 1985 to 2018 by Integrating Optical and Radar Imagery. ISPRS Int. J. Geo-Inf. 2020, 9, 513. https://doi.org/10.3390/ijgi9090513

AMA Style

Zheng Y, Takeuchi W. Quantitative Assessment and Driving Force Analysis of Mangrove Forest Changes in China from 1985 to 2018 by Integrating Optical and Radar Imagery. ISPRS International Journal of Geo-Information. 2020; 9(9):513. https://doi.org/10.3390/ijgi9090513

Chicago/Turabian Style

Zheng, Yuhan, and Wataru Takeuchi. 2020. "Quantitative Assessment and Driving Force Analysis of Mangrove Forest Changes in China from 1985 to 2018 by Integrating Optical and Radar Imagery" ISPRS International Journal of Geo-Information 9, no. 9: 513. https://doi.org/10.3390/ijgi9090513

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