结合潮位校正的雷州半岛红树林湿地动态变迁遥感监测

doi:10.11978/2023023

Abstract

Abstract:

Mangrove wetlands provide important ecological support for ecological security, social and economic growth. In this paper, we discuss the temporal and spatial changes of mangrove wetlands in the Leizhou Peninsula during 1995—2020 by decision tree classification combined with the tidal pattern in different regions, based on Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) sensing images. Improving the precision of mangrove information extraction is combined with artificial correction. Using high-resolution Google Earth remote sensing data, the classification accuracies in 1995, 2005, 2015, and 2020 were 99.79%, 98.95%, 99.45%, and 99.15%, and the corresponding Kappa coefficient of those years were 0.9913, 0.9642, 0.9624, and 0.9766. Over the past 25 years, mangrove wetland areas show a trend of early decrease followed by subsequent increase. The results were summarized as follows: (1) the Leizhou Peninsula’s mangrove wetlands are concentrated in wave sheltering bay or estuary, such as the Yingluo Port, Anpu Port, Qishui Port, Haikang Port, Wushi Port, Liusha Port, Wailuo Port, Leizhou Bay, Tongming Sea and Zhanjiang Bay, where silt deposits and tidal flats distribute widely. Lack of the above conditions, there is none of mangrove distribution in the seaboard of the Hai’an town of Xuwen county to the Jinhe town and east of the Wuyang town of Wuchuan county; (2) mangrove uniformly distributes all cities and counties of the Leizhou Peninsula. In early years, the Mazhang town has the largest mangrove, followed by Leizhou and Lianjiang, and Chikan has the least mangrove. Currently, Lianjiang has the largest proportion of mangrove forests; (3) the decreasing mangrove area is more than the increasing mangrove area, and half of area is lost in the Mazhang town; (4) the conversion of mangrove forest and non-mangrove mutual landscape occurrs to water, beach and mariculture. The monitoring analysis of regional mangrove forest provides a basis for the protection of mangrove wetland and the sustainable development of ecological resources.

Key words: mangrove, tidal rhythm, decision tree classification, Landsat, Leizhou Peninsula

SHEN Jian, JIAN Zhuokai, OUYANG Xuemin, AI Bin. Remote sensing monitoring of mangrove wetland changes combined with tidal level correction in the Leizhou Peninsula[J].Journal of Tropical Oceanography, 2024, 43(1): 137-153.

Figures/Tables 21

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年份	传感器型号	分辨率/m	行列号	西区影像		东区影像
年份	传感器型号	分辨率/m	行列号	获取时间(GMT+8)	云量/%	获取时间(GMT+8)	云量/%
2020年	Landsat 8 OLI	30	124/46	2021-12-03 11:05:38	0.04	2020-01-31 11:05:22	2.44
2020年	Landsat 8 OLI	30	124/45	2021-12-03 11:05:14	0.08	2020-01-31 11:04:58	5.43
2015年	Landsat 8 OLI	30	124/46	2015-01-01 11:05:17	3.50	2016-12-05 11:05:35	9.32
2015年	Landsat 8 OLI	30	124/45	2015-01-01 11:04:53	0.10	2016-12-05 11:05:11	11.31
2005年	Landsat 5 TM	30	124/46	2006-01-24 10:55:16	33.00	2004-12-04 10:50:45	2.00
2005年	Landsat 5 TM	30	124/45	2006-01-24 10:54:53	7.00	2004-12-04 10:50:21	0.00
1995年	Landsat 5 TM	30	124/46	1994-01-23 10:26:32	1.00	—	—
1995年	Landsat 5 TM	30	124/45	1994-01-23 10:26:09	0.00	—	—

年份	红树林样本数	其他地类样本数	样本总数
1995年	206	1194	1400
2005年	257	1264	1521
2015年	281	1182	1463
2020年	364	1162	1526

区域	红树林面积/hm²				景观分维数				景观破碎度
区域	1995	2005	2015	2020	1995	2005	2015	2020	1995	2005	2015	2020
赤坎区^-	0	6.75	2.61	2.42	—	1.0587	1.0203	1.0203	—	0.15	0.77	0.83
雷州市⁺	1124.45	1192.60	1730.67	1853.19	1.0494	1.0623	1.0635	1.0619	0.53	0.22	0.19	0.20
廉江市	682.39	1018.62	1454.71	1321.50	1.0427	1.0573	1.0703	1.0567	0.53	0.13	0.09	0.15
麻章区	3817.56	2107.74	1496.73	1501.53	1.0454	1.0529	1.0512	1.0633	0.39	0.32	0.43	0.51
坡头区^-	532.55	526.19	369.22	305.20	1.0463	1.0525	1.0432	1.0429	0.64	0.33	0.46	0.59
遂溪县⁺	480.55	517.61	719.84	775.43	1.0629	1.0625	1.0556	1.0560	0.47	0.20	0.25	0.30
吴川市⁺	74.06	110.67	136.60	161.88	1.0349	1.0720	1.0389	1.0583	1.54	0.23	0.62	0.46
霞山区^-	62.71	45.97	30.25	28.04	1.0579	1.0548	1.0626	1.0848	0.57	0.39	0.33	0.36
徐闻县⁺	610.96	647.09	799.29	824.20	1.0476	1.0561	1.0541	1.0628	0.33	0.18	0.23	0.23
湛江市	7385.21	6173.23	6739.92	6773.39	1.0484	1.0588	1.0511	1.0563	0.45	0.24	0.25	0.29

主要景观类型	1995—2005年红树林面积/hm²		2005—2015年红树林面积/hm²		2015—2020年红树林面积/hm²
主要景观类型	转入	转出	转入	转出	转入	转出
养殖	—	249.23	30.03	111.41	49.98	95.05
裸露滩涂	368.33	620.10	318.01	148.21	243.00	195.15
建设用地	—	—	—	34.21	—	—
水体	222.57	1464.99	79.92	683.73	119.16	125.20
农用地	80.04	26.27	81.94	125.20	38.02	30.16
总计	670.74	2360.59	509.9	1102.76	450.16	445.56

主要景观类型	1995—2005年红树林面积/hm²		2005—2015年红树林面积/hm²		2015—2020年红树林面积/hm²
主要景观类型	转入	转出	转入	转出	转入	转出
养殖	10.02	261.84	154.57	121.57	120.65	70.21
裸露滩涂	330.40	50.06	478.31	85.40	246.31	149.83
建设用地	20.04	49.95	9.98	5.05	14.98	—
水体	182.57	139.45	132.2	20.10	60.00	119.10
农用地	10.09	30.00	79.94	55.02	65.12	44.01
总计	553.12	531.30	855.00	287.14	507.06	383.18

Remote sensing monitoring of mangrove wetland changes combined with tidal level correction in the Leizhou Peninsula

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年份	总体精度	Kappa系数
1995年	99.79%	0.9913
2005年	98.95%	0.9642
2015年	99.45%	0.9624
2020年	99.15%	0.9766

主要景观类	1995—2005年红树林面积/hm²		2005—2015年红树林面积/hm²		2015—2020年红树林面积/hm²
主要景观类	转入	转出	转入	转出	转入	转出
养殖	5.12	45.24	151.22	4.96	23.59	56.11
裸露滩涂	60.01	—	5.22	—	11.76	9.88
建设用地	4.68	1.14	5.26	—	—	—
水体	309.40	80.21	306.91	24.82	13.00	61.03
农用地	136.64	51.74	118.39	65.13	63.14	117.06
总计	515.85	178.33	587.00	94.91	113.49	244.08

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[4]	ZHOU Zhigang, YUE Wen, LI Huiquan, LIN Yangyang. Influence of tree species and intertidal elevations on the carbon storage of the Gaoqiao mangrove area in Zhanjiang, Guangdong Province [J]. Journal of Tropical Oceanography, 2024, 43(2): 108-120.
[5]	GENG Wanlu, XING Yongze, ZHANG Qiufeng, GUAN Weibing. Structural characteristics of macrobenthic communities at intertidal zone for mangrove in Beihai, Guangxi [J]. Journal of Tropical Oceanography, 2024, 43(1): 107-115.
[6]	DONG Junde, HUANG Xiaofang, LONG Aimin, WANG Youshao, LING Juan, YANG Qingsong. Progress on the nitrogen-fixing microorganisms and their ecological functions in mangroves [J]. Journal of Tropical Oceanography, 2023, 42(4): 1-11.
[7]	LIANG Hanqiao, CHEN Wenfeng, FAN Yikai, ZHU Zidong, MA Guoxu, CHEN Deli, TIAN Jing. Research progress on the secondary metabolites and activities of endophytic fungi of genus Aspergillus and Trichoderma from mangroves [J]. Journal of Tropical Oceanography, 2023, 42(4): 12-24.
[8]	QIU Jin, DAI Hongtao, XING Yongze, HUANG Daji, Yin Qunjian, CHENG Dewei. Leaves, stems and roots stoichiometry characteristics of mangrove plants at different succession stages in the Shankou National Mangrove Nature Reserve, China^* [J]. Journal of Tropical Oceanography, 2023, 42(3): 149-157.
[9]	ZHANG Chengfei, REN Guangbo, WU Peiqiang, HU Yabin, MA Yi, YAN Yu, ZHANG Jingrui. Mangrove species classification in the Hainan Bamen Bay based on GF optics and fully polarimetric SAR [J]. Journal of Tropical Oceanography, 2023, 42(2): 153-168.
[10]	YE Jincheng, CHEN Yiqing, GAO Lin, ZHOU Xianjiao, ZHONG Cairong, ZHANG Ying, WANG Yun. Analysis of rhizosphere bacterial community characteristics of mangrove plant Sonneratia × gulngai and its parents [J]. Journal of Tropical Oceanography, 2022, 41(6): 75-89.
[11]	SU Boyu, ZHANG Weishi, WANG Youshao. Response of antioxidant enzyme systems in root tissues of three mangrove species to waterlogging stress [J]. Journal of Tropical Oceanography, 2022, 41(6): 35-43.
[12]	INYANG Aniefiok Ini, ZHOU Yueyue, WANG Youshao. Characteristics of water quality and their eutrophication assessment on the mangrove ecosystems along the Guangdong coast [J]. Journal of Tropical Oceanography, 2022, 41(6): 1-11.
[13]	WU Weizhi, ZHAO Zhixia, YANG Sheng, LIANG Licheng, Chen Qiuxia, LU Xiang, LIU Xing, ZHANG Xiaowei. The mangrove forest distribution and analysis of afforestation effect in Zhejiang Province [J]. Journal of Tropical Oceanography, 2022, 41(6): 67-74.
[14]	HAO Lulu, KE Mingsi, ZHU Yixiu, XU Yanmin, ZHANG Ying, ZHENG Chunfang. Expression of DEAD-box RNA helicase enzyme genes in Lumnitzera littorea under low temperature stress [J]. Journal of Tropical Oceanography, 2022, 41(6): 44-55.
[15]	XIE Yong, WANG Youshao. Physiological response characteristics of four mangrove plants seedlings to heavy metal stress [J]. Journal of Tropical Oceanography, 2022, 41(6): 28-34.