红树林空间分布遥感监测精度的影响因素及应对措施&#xE;Symbol

周梅; 李春干; 代华兵

doi:10.3969/j.issn.1000-2006.201608031

红树林空间分布遥感监测精度的影响因素及应对措施Symbol

周梅,李春干,代华兵

南京林业大学学报（自然科学版） ›› 2018, Vol. 42 ›› Issue (01) : 163-168.

PDF(2016421 KB)

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

PDF(2016421 KB)

南京林业大学学报（自然科学版） ›› 2018, Vol. 42 ›› Issue (01) : 163-168. DOI: 10.3969/j.issn.1000-2006.201608031

综合述评

红树林空间分布遥感监测精度的影响因素及应对措施Symbol

周梅¹,李春干^2*,代华兵³

作者信息 +

Influence factors and measures of remote sensing monitoring precision of mangrove space distribution

ZHOU Mei¹,LI Chungan^2*,DAI Huabing³

Author information +

文章历史 +

摘要

为提高红树林空间分布遥感监测结果的准确性和可靠性,分析了现有研究中存在的突出问题及其原因:不同研究者得到的同一区域和相同(或相近)年度的红树林面积相差很大; 同一研究者得到的同一区域相邻监测期的红树林面积变化剧烈,明显不符合红树林空间演变规律。结合长期监测实践,讨论了影响区域和地方尺度红树林空间分布遥感监测精度主要因素。分析认为:遥感图像的空间分辨率、海水淹没情况、信息提取策略、实地调查验证等是影响红树林空间分布遥感监测精度的主要因素。我国区域和地方尺度红树林空间分布遥感信息提取宜采用优于1 m、处于低潮位、滩涂裸露的高分辨率遥感数据; 在作多期遥感信息提取时,须确保相邻监测期间红树林斑块范围的变化符合其空间演变规律; 必须开展深入细致的地面调查工作,全面了解各个海湾的红树林分布状况和特点,并在实地逐一修正红树林斑块边界。

Abstract

Abstract: Improvement of area accuracy and reliability is highly important for the dynamic monitoring of mangrove forests based on remote sensing. In this study, two serious problems present in certain studies addressing mangrove dynamics were analyzed: one was that in the same region and same year, the mangrove areas reported by different researchers varied greatly, and the other was that the area of mangrove forests in a region or gulf changed dramatically in a short period. The main factors affecting the accuracy of mangrove area surveys using remote-sensing data at regional and local levels were discussed based on the practical experience of monitoring of mangrove dynamics from many years. The spatial resolution of remote-sensing images, tidal height, protocol for extraction of information on mangrove distribution, and field validation were the most important factors affecting the accuracy of mangrove areas based on remote sensing. We suggested that remote-sensing data of extremely high resolution(1 m or below)should be used to extract information of mangrove areas at regional and local levels in China; tides were low, and the beach was exposed when the image was acquired. When remote-sensing information from two or more periods is extracted, the area of mangrove patches should be prevented from changing dramatically between adjacent periods. Furthermore, a basic prerequisite for any image-analysis approach is the conduction of an intensive field study; the characteristics of mangrove distribution in each gulf or bay should be investigated by field work, and then, the patch boundary should be revised individually in the field.

引用本文

EndNote

Ris (Procite)

Bibtex

导出引用

周梅,李春干,代华兵. 红树林空间分布遥感监测精度的影响因素及应对措施Symbol[J]. 南京林业大学学报（自然科学版）. 2018, 42(01): 163-168 https://doi.org/10.3969/j.issn.1000-2006.201608031

ZHOU Mei,LI Chungan,DAI Huabing. Influence factors and measures of remote sensing monitoring precision of mangrove space distribution[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2018, 42(01): 163-168 https://doi.org/10.3969/j.issn.1000-2006.201608031

中图分类号： S718 TP79 P966

参考文献

[1] 李春干, 谭必增. 基于“3S”的红树林资源调查方法研究[J]. 自然资源学报, 2003, 18(2): 215-221.LI C G, TAN B Z. Studies on the methods of mangrove inventory based on RS, GPS and GIS[J]. Journal of Natural Resources, 2003, 18(2): 215-221.
[2] GIRI C, OCHIENG E, TIESZEN L L, et al. Status and distribution of mangrove forests of the world using earth observation satellite data[J]. Global Ecology and Biogeography, 2010, 20(1): 1-6. DOI: 10.1111/j.1466-8238.2010.00584.x.
[3] GIRI C, ZHU Z, TIESZEN L L, et al. Mangrove forest distributions and dynamics(1975-2005)of the Tsunami: affected region of Asia[J]. Journal of Biogeography, 2008, 35:519-528.
[4] NAYAK S, BAHUGUNA A. Application of remote sensing data to monitor mangroves and other coastal vegetation of India[J]. India Journal of Marine Sciences, 2001, 30(4): 195-213.
[5] 吴培强, 张杰, 马毅, 等. 近20a来我国红树林资源变化遥感监测与分析[J]. 海洋科学进展, 2013, 31(3): 407-414.WU P Q, ZHANG J, MA Y, et al. Remote sensing monitoring and analysis of the changes of mangrove resources in China in the past 20 years[J]. Advances in Marine Science, 2013, 31(3): 407-414.
[6] RAJITHA K, MUKHERJEE C K, CHANDRAN R V, et al. Land-cover change dynamic and coastal aquaculture development: a case study in the East Godavari Delta, Andhra Pradesh, India using multi-temporal satellite data[J]. International Journal of Remote Sensing, 2010, 31(15/16): 4423-4442.
[7] MALTHUS T J, MUMBY J. Remote sensing of the coastal zone: an overview and priorities for future research[J]. International Journal of Remote Sensing, 2003, 24(13): 2805-2815.
[8] KUENZER C, BLUEMEL A, GEBHARDT S, et al. Remote sensing of mangrove ecosystems: a review[J]. Remote Sens, 2011, 3: 878-928. DOI: 10.3390/rs3050878.
[9] 孙永光, 赵冬至, 郭文永, 等. 红树林生态系统遥感监测研究进展[J]. 生态学报, 2013, 33(15): 4523-4538. DOI: 10.5846/stxb201205150715.SUN Y G, ZHAO D Z, GUO W Y, et al. A review on the application of remote sensing in mangrove ecosystem monitoring[J]. Acta Ecologica Sinica, 2013, 33(15): 4523-4538.
[10] BLASCO F, GAUQUELIN T, RASOLOFOHARINORO M, et al. Recent advances in mangrove studies using remote sensing data[J]. Mar Freshwater Res, 1998, 49: 287-96.
[11] HEUMANN B W. Satellite remote sensing of mangrove forests: recent advances and future opportunities[J]. Progress in Physical Geography, 2011, 35(1): 87-108.
[12] KUEBZER C, BLUEMEL A, GEBHARDT S, et al. Remote sensing of mangrove ecosystems: a review[J]. Remote Sens, 2011, 3: 878-928. DOI:10.3390/rs3050878.
[13] 李春干. 广西红树林的数量分布[J]. 北京林业大学学报, 2004, 26(1): 47-52. DOI:10.13332/j.1000-1522.2004.01.009.LI C G. Quantitative distribution of mangroves in Guangxi Zhuang Autonomous Region[J]. Journal of Beijing Forestry University, 2004, 26(1): 47-52.
[14] SUTRISNO B O, PRAYITNO S B. The change of mangrove in Segara Anakan Lagoon of Cilacap-Central Java[J]. Ind Fish Res J,2013, 19(2): 81-84.
[15] ARDLI E R, WOLFF M. Land use and land cover change affecting habitat distribution in the Segara Anakan Lagoon, Java, Indonesia[J]. Reg Environ Change, 2009, 9: 235-243.
[16] 刘凯, 黎夏, 王树功, 等. 珠江口近20年红树林湿地的遥感动态监测[J]. 热带地理, 2005, 25(2): 111-116.LIU K, LI X, WANG S G. Monitoring of the changes of mangrove wetland around the Zhujiang estuary in the past two decades by remote sensing[J]. Tropical Geography, 2005, 25(2): 111-116.
[17] 赵玉灵. 珠江口地区近30年海岸线与红树林湿地遥感动态监测[J]. 国土资源遥感, 2010, 22(S1): 178-184.ZHAO Y L. The remote sensing dynamic monitoring of the evolution of shoreline and mangrove wetlands in the Zhujiang River estuary in the past 30 years[J].Remote Sensing for Land & Resources, 2010, 22(S1): 178-184.
[18] 孙艳伟, 廖宝文, 管伟, 等. 海南东寨港红树林急速退化的空间分布特征及影响因素分析[J]. 华南农业大学学报, 2015, 36(6): 111-118.DOI:10.7671/ j.issn.1001-411X.2015. 06.018.SUN Y W, LIAO B W, GUAN W, et al. Spatial patterns and environmental factors of rapidly degraded mangroves at Dongzhaigang Harbor in Hainan[J]. Journal of South China Agricultural University, 2015, 36(6): 111-118.
[19] 黄星, 辛琨, 李秀珍, 等. 基于斑块的东寨港红树林湿地景观格局变化及其驱动力[J]. 应用生态学报, 2015, 26(5): 1510-1518. DOI:10.13287/j.1001-9332.20150302.014.WANG X, XIN K, LI X Z, et al. Landscape pattern change of Dongzhai harbour mangrove, South China analyzed with a patch-based method and its driving forces[J]. Chinese Journal of Applied Ecology, 2015, 26(5): 1510-1518.
[20] 韩淑梅. 海南东寨港红树林景观格局动态及其驱动力研究[D]. 北京: 北京林业大学, 2011.HAN S M. Study on landscape pattern dynamics and driving forces in mangrove wetlands of Donzhaigang Harbour, Hainan Province[D]. Beijing: Beijing Forestry University, 2011.
[21] 王胤, 左平, 黄仲琪, 等. 海南东寨港红树林湿地面积变化及其驱动力分析[J]. 四川环境, 2006, 25(3):44-49.WANG Y, ZUO P, HUANG Z Q, et al. Study of the changes of mangrove wetland ecosystem and driving forces in Dongzhaigang[J]. Sichuan Environment, 2006, 25(3):44-49.
[22] 王小军, 冯时泽. RS、GIS在海南东寨港红树林保护区地表覆盖研究中的应用[J]. 测绘通报, 2010(2): 22-25.WANG X J, FENG S Z. Application of RS and GIS in surface coverage of red forest protectorate in Dongzhaigang, Hainan[J]. Bulletin of Surveying and Mapping, 2010(2): 22-25.
[23] 王丽荣, 李贞, 蒲杨婕. 50年来海南岛红树林群落的变化及其与环境关系分析——以东寨港、三亚河和青梅港红树林自然保护区为例[J]. 热带地理, 2010, 30(2): 114-120. DOI:10.13284/j.cnki.rddl.001352.WANG L R, LI Z, PU Y J, et al. Analysis on the relationship between mangrove and environment change in Hainan Island in the past 50 years: a case study of Dongzhai Harbor, Sanya River and Qingmei Harbor Mangrove Nature Protection Area[J]. Tropical Geography, 2010, 30(2): 114-120.
[24] BALKE T, WEBB E L, ELZEN E V D, et al. Seedling establishment in a dynamic sedimentary environment: a conceptual framework using mangroves[J]. Journal of Applied Ecology, 2013, 50: 740-747.
[25] 曾春阳, 莫祝平, 韦立权, 等. 广西钦州市红树林造林研究[J]. 林业调查规划, 2013, 38(6): 85-87,91. DOI: 10.3969/ j.issn.1671-3168. 2013. 06. 019.ZENG C Y, MO Z P, WEI L Q, et al. Research on mangrove planting in Qinzhou of Guangxi Province[J]. 2013, 38(6): 85-87,91.
[26] 莫竹承, 范航清. 红树林造林方法的比较[J]. 广西林业科学, 2001, 30(6): 73-75,81.MO Z C, FAN H Q. Comparison for the methods of mangrove afforestation[J]. Guangxi Forestry Science, 30(6): 73-75,81.
[27] 廖宝文, 郑德璋, 郑松发, 等. 我国华南沿海红树林造林现状及其展望[J]. 防护林科技, 1996, 29(4): 30-34.LIAO B W, ZHENG D Z, ZHENG S F, et al. Present situation and prospect of mangrove afforestation in south China coast[J]. Protection Forest Science and Technology, 1996, 29(4): 30-34.
[28] 林文欢, 詹潮安, 郑道序, 等. 粤东沙质滩涂6种红树林树种造林试验研究[J]. 广东林业科技, 2014, 30(2): 69-71.LIN W H, ZHAN C A, ZHENG D X, et al. Study on afforestation of six mangrove species in sandy beach of eastern Guangdong[J]. Guangdong Forestry Science and Technology, 2014, 30(2): 69-71.
[29] 陈玉军, 郑松发, 郑德璋, 等. 广东番禺红树林造林研究[J]. 生态科学, 2001, 20(1/2): 25-31.CHEN Y J, ZHENG S F, ZHENG D Z, et al. Researches on the mangrove plantation in Panyu, Guangdong[J]. Ecologic Science, 2001, 20(1/2): 25-31.
[30] 贾明明. 1973-2013年中国红树林动态变化遥感分析[D]. 长春:中国科学院东北地理与农业生态研究所, 2014.JIA M M. Remote sensing analysis of China’ mangrove forests dynamic during 1973 to 2013[D]. Changchun: Northeast Institute of Geography and Agroecology, China Academy of Sciences, 2014.
[31] 陈凌云, 胡自宁, 钟仕全, 等. 应用遥感信息分析广西红树林动态变化特征[J]. 广西科学, 2005,2(4): 308-311.CHEN L Y, HU Z N, ZHONG S Q, et al. Applying the remote sensing information to analyze Guangxi mangrove development variety characteristics[J]. Guangxi Sciences, 2005, 2(4): 308-311.
[32] 李春干. 红树林遥感信息提取与空间演变机理研究[M]. 北京: 科学出版社, 2013.
[33] ALTAMIRANO J P, PRIMAVERA J H, BANATICAL M R N, et al. Practical techniques for mapping small patches of mangrove[J]. Wetlands Ecol Manage, 2010, 18: 707-715.
[34] 王文卿, 王瑁. 中国红树林[M]. 北京: 科学出版社, 2007.
[35] 李春干, 代华兵. 红树林空间分布信息遥感提取方法[J]. 湿地科学, 2014, 12(5): 580-589. DOI:10.13248/j.cnki.wetlandsci.2014.05.007.LI C G, DAI H B. Extraction of mangrove spatial distribution using remote sensed data[J]. Wetland Science, 2014, 12(5): 580-589.