热带地理 ›› 2018, Vol. 38 ›› Issue (6): 866-873.doi: 10.13284/j.cnki.rddl.003088
侯 婉1,2,3,侯西勇1,3
出版日期:
2018-11-30
发布日期:
2018-11-30
通讯作者:
侯西勇(1975—),男,山东泰安人,博士,研究员,博士生导师,主要从事海岸带土地利用变化与海岸线变化遥感监测、海岸带综合管理等方面的研究,(E-mail)xyhou@yic.ac.cn。
作者简介:
侯婉(1991—),女,安徽亳州人,博士研究生,主要研究方向为海岸带土地利用/覆盖变化等,(E-mail)whou@yic.ac.cn;
基金资助:
国家自然科学基金国际合作项目(31461143032);中国科学院A类战略性先导科技专项(XDA19060205)
HOU Wan1,2,3, HOU Xiyong1,3
Online:
2018-11-30
Published:
2018-11-30
摘要:
土地利用/覆盖分类是土地利用/覆盖数据建立和土地利用/覆盖变化研究的重要前提。针对全球海岸带土地利用/覆盖类型多样性显著但分类系统鲜有专论的研究现状,从全球海岸带区域的基本特征出发,重点参考《湿地公约》以及区域至全球尺度的湿地分类系统,严格遵循预先定义的分类依据以及分类原则,提出全球海岸带土地利用/覆盖遥感分类系统,包括6个一级类型,分别为耕地、植被、湿地、建设用地、裸地、永久性冰川雪地,20个二级类型和43个三级类型,比较系统且全面地涵盖了全球海岸带区域的土地利用/覆盖类型和湿地资源。该分类系统层次清晰且分类严格,综合考虑了宏观区域至全球尺度海岸带土地利用/覆盖分类及变化特征遥感监测研究所需,充分重视了全球沿海区域丰富多样的湿地资源,明确强调了全球高纬度地区苔原类型的归属及分类,合理兼顾了低、中、高不同时空分辨率卫星数据的优势,为建立多时相全球或代表性区域海岸带土地利用/覆盖变化数据集提供支持。
侯婉,侯西勇. 考虑湿地精细分类的全球海岸带土地利用/ 覆盖遥感分类系统[J]. 热带地理, 2018, 38(6): 866-873.
HOU Wan, HOU Xiyong. Remote Sensing Classification System of Land Use and Land Cover for Global Coastal Zone Considering Fine Classification of Wetlands[J]. TROPICAL GEOGRAPHY, 2018, 38(6): 866-873.
Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) and Australian Government-Department of Agriculture, Fisheries and Forestry (AGDAFF). 2010. The Australian Land Use and Management(ALUM)Classification Version 7. [2010-05-10]. http:// www.agriculture.gov.au/abares/aclump/Documents/ALUM_Classification_V7_May_2010_detailed.pdf.Bartholomé E and Belward A S. 2005. GLC2000: a new approach to global land cover mapping from Earth observation data. International Journal of Remote Sensing, 26(9): 1959-1977.Chiu C A, Lin P H, Hsu C K and Shen Z H. 2012. A novel thermal index improves prediction of vegetation zones: Associating temperature sum with thermal seasonality. Ecological Indicators, (23): 668-674.蔡红艳,张树文,张宇博. 2010. 全球环境变化视角下的土地覆盖分类系统研究综述. 遥感技术与应用,25(1):161-167. [Cai Hongyan, Zhang Shuwen and Zhang Yubo. 2010. Review of Land Cover Classification System under Global Environmental Change View. Remote Sensing Technology and Application, 25(1): 161-167. ]禅铎. 2015.全球变暖背景下地球表面温度和气候带变化的检测、归因与预测. 南京:南京大学. [Chan Duo. 2015. Detection, Attribution and Projection of Changes in Surface Temperature and Climate Classes under Global Warming Background. Nanjing: Nanjing University. ]崔保山,杨志峰. 2006. 湿地学. 北京:北京师范大学出版社. [Cui Baoshan and Yang Zhifeng,2006. Wetlands. Beijing: Beijing Normal University Press. ]Di Gregorio A and Jansen L J M. 2000. Land Cover Classification System (LCCS): classification concepts and user manual. Rome: FAO.Di Gregorio A and Latham J. 2009. Africover land cover classification and mapping project. [2009-05-01]. Land Use, Land Cover and Soil Sciences. http://www.eolss.net/Sample-Chapters/C12/E1-05-01-09.pdf.邸向红,侯西勇,吴莉. 2014.中国海岸带土地利用遥感分类系统研究.资源科学,36(3):463-472. [Di Xianghong, Hou Xiyong and Wu Li. 2014. Land Use Classification System for China’s Coastal Zone Based on Remote Sensing. Resources Science, 36(3): 463-472. ]Eum H, Dibike Y and Prowse T. 2016. Comparative evaluation of the effects of climate and land-cover changes on hydrologic responses of the Muskeg River, Alberta, Canada. Journal of Hydrology: Regional Studies, (8): 198-221.Feranec J, Hazeu G, Christensen S and Jaffrain G. 2007. Corine land cover change detection in Europe (case studies of the Netherlands and Slovakia). Land Use Policy, (24): 234-247.García-álvarez D and Teresa Camacho Olmedo M. 2017. Changes in the methodology used in the production of the Spanish CORINE: Uncertainty analysis of the new maps. International Journal of Applied Earth Observation and Geoinformation, (63): 55-67.Grekousis G, Mountrakis G and Kavouras M. 2015. An overview of 21 global and 43 regional land-cover mapping products.. International Journal of Remote Sensing, 36(21): 5309-5335.宫攀,陈仲新,唐华俊,张凤荣. 2006.土地覆盖分类系统研究进展. 中国农业资源与区划,27(2):35-40. [Gong Pan, Chen Zhongxin, Tang Huajun and Zhang Fengrong. 2006. Progress of the research on classification system of land vegetation. Chinese Journal of Agricultural Resources and Regional Planning, 27(2): 35-40. ]宫鹏,张伟,俞乐,李丛丛,王杰,梁璐,李雪草,计璐艳,白玉琪. 2016.全球地表覆盖制图研究新范式.遥感学报,20(5):1002-1016. [Gong Peng, Zhang Wei, Yu Le, Li Congcong, Wang Jie, Liang Lu, Li Xuecao, Ji Luyan and Bai Yuqi. 2016. New research paradigm for global land cover mapping. Journal of Remote Sensing, 20(5): 1002- 1016. ]Hansen M C, Defries R S, Townshend J R G and Sohlberg R. 2000. Global land cover classification at 1 km spatial resolution using a classification tree approach. International Journal of Remote Sensing, 21(6/7): 1331-1364.Hu S J, Niu Z G, Chen Y F, Li LF and Zhang H Y. 2017. Global wetlands: Potential distribution, wetland loss, and status. Science of the Total Environment, (586): 319-327.Jin S M, Yang L M, Zhu Z and Homer C. 2017. A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. Remote Sensing of Environment, 195: 44-55.Joseph A. 2014. Chapter 1-Oceanic Currents and Their Implications. [2013- 08-15]. https://www.sciencedirect.com/science/article/pii/B978012415 9907000016. Klemas V V, Dobson J E, Ferguson R L and Haddad K D. 1993. A Coastal Land Cover Classification System for the NOAA Coastwatch Change Analysis Project. Journal of Coastal Research, 9(3): 862-872.Lehner B and Do¨ll P. 2004. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology, 296: 1-22.Loveland T R, Reed B C, Brown J F, Ohlen D O, Zhu Z, Yang L and Merchant J W. 2000. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. International Journal of Remote Sensing, 21(6/7): 1303-1330.刘凯,朱远辉,李骞,李越男,肖望昊,蒙琳. 2016.基于多源遥感的广东镇海湾红树林演变分析. 热带地理,36(5):850-859. [Liu Kai, Zhu Yuanhui, Li Qian, Li Yuenan, Xiao Wanghao and Meng Lin. 2016. Analysis on Mangrove Resources Changes of Zhenhai Bay in Guangdong Based on Multi Source Remote Sensing Images. Tropical Geography, 36(5): 850-859. ]刘远,周买春. 2017. 3种IGBP分类系统的土地覆盖数据在韩江流域的对比分析. 遥感技术与应用,32(3):567-584. [Liu Yuan and Zhou Maichun. 2017. Comparative Analysis on Three Land Cover Datasets based on IGBP Classification System over Hanjiang River Basin. Remote Sensing Technology and Application, 32(3): 567-584. ]Masria A, Negm A, Iskander M and Saavedra O. 2014. Coastal zone issues: a case study (Egypt). Procedia Engineering, 70: 1102-1111.牟晓杰,刘兴土,阎百兴,崔保山. 2015.中国滨海湿地分类系统. 湿地科学,13(1):19-26. [Mou Xiaojie, Liu Xingtu, Yan Baixing and Cui Baoshan. 2015. Classification System of Coastal Wetlands in China. Wetland Science, 13(1): 19-26. ]Ning J, Liu J Y and Zhao G S. 2015. Spatio-temporal Characteristics of Disturbance of Land Use Change on Major Ecosystem Function Zones in China. Chinese Geographical Science, 25(5): 523-536.牛振国,宫鹏,程晓,虢建宏,王琳,黄华兵,沈少青,吴昀昭,王晓风,王显威,应清,梁璐,张丽娜,王雷,姚谦,杨镇钟,郭子祺,戴永久. 2009.中国湿地初步遥感制图及相关地理特征分析. 中国科学(地球科学),39(2):188-203. [Niu Zhenguo, Gong Peng, Cheng Xiao, Guo Jianhong, Wang Lin, Huang Huabing, Shen Shaoqing, Wu Junzhao, Wang Xiaofeng, Wang Xianwei, Ying Qing, Liang Lu, Zhang Lina, Wang Lei, Yao Qian, Yang Zhenzhong, Guo Ziqi and Dai Yongjiu. 2009. Geographical characteristics of China’s wetlands de-rived from remotely sensed data. Science China (Earth Sciences), 39(2): 188-203. ]Wickham J, Stehman S V, Gass L, Dewitz J A, Sorenson D G, Granneman B J, Poss R V and Baer L A. 2017. Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD). Remote Sensing of Environment, 191: 328-341.万剑华,刘树生,马毅,张杰. 2008. 基于遥感的海岸带地貌类型信息提取方法研究. 测绘通报,(12):15-17,72. [Wan Jianhua, Liu Shusheng, Ma Yi and Zhang Jie. 2008. Research on Geomorphologic Information Extraction in Coastal Zone Based on Remote Sensing. Bulletin of Surveying and Mapping, (12): 15-17, 72. ]Zhou R, Li Y Z, Wu J J, Gao M, Wu X Q and Bi X L. 2017. Need to link river management with estuarine wetland conservation: A case study in the Yellow River Delta, China. Ocean & Coastal Management, 146: 43-49.张健,濮励杰,陕永杰,张润森,许艳,朱明,彭补拙. 2012. 海岸带土地开发利用及生态环境效应研究简述. 长江流域资源与环境,21(1):36-43. [Zhang Jian, Pu Lijie, Shan Yongjie, Zhang Runsen, Xu Yan, Zhu Ming and Peng Buzhuo. 2012. Progress of the research on land exploitation and its use and eco-environmental effects of coastal zone. Resources and Environment in the Yangtze Basin, 21(1): 36-43. ]张景华,封志明,姜鲁光. 2011. 土地利用/土地覆盖分类系统研究进展.资源科学,33(6):1195-1203. [Zhang Jinghua, Feng Zhiming and Jiang Luguang. 2011. Progress on Studies of Land Use/Land Cover Classification Systems. Resources Science, 33(6): 1195-1203. ]张晓祥,徐盼,戴煜暄,申翔,汤春峰. 2013. 海岸带城市土地利用变化分析——以江苏盐城市为例. 热带地理,33(3):291-298. [Zhang Xiaoxiang, Xu Pan, Dai Yuxuan, Shen Xiang, Tang Chunfeng. 2013. Land Use Change Analysis of Coastal City: A Case Study of Yancheng. Tropical Geography, 33(3): 291-298. ]朱鹏,宫鹏. 2014. 全球陆表湿地潜在分布区制图及遥感验证. 中国科学:地球科学,44(8):1610-1620. [Zhu Peng and Gong Peng. 2014. Suitability mapping of global wetland areas and validation with remotely sensed data. Science China: Earth Sciences, 44(8): 1610- 1620. ] |
[1] | 王艳阳, 梁宇哲, 罗伟玲, 谢贻新, 刘济坤. 基于高分遥感影像和POI的国土空间规划现状细化调查[J]. 热带地理, 2020, 40(4): 649-658. |
[2] | 张丽, 廖静娟, 袁鑫, 穆晓东, 宋茜茜, 毕京鹏. 1987—2017年海南岛海岸线变化特征遥感分析[J]. 热带地理, 2020, 40(4): 659-674. |
[3] | 周胜男, 施祺, 郭华雨, 杨红强, 严宏强. 2009—2017年南沙群岛珊瑚礁砾洲演变[J]. 热带地理, 2020, 40(4): 694-708. |
[4] | 丁智强, 高璇, 角媛梅, 李玉辉, 郭汝军. 基于空间密度函数的哈尼梯田世界遗产地滑坡时空格局变化[J]. 热带地理, 2020, 40(3): 478-486. |
[5] | 张晨, 周霞, 李勇, 杨骥, 李林. 半封闭大棚实验下广州市植被滞尘光谱特征分析[J]. 热带地理, 2020, 40(2): 266-277. |
[6] | 刘文祥, 舒远仲, 唐小敏, 刘金梅. 采用双注意力机制Deeplabv3+算法的遥感影像语义分割[J]. 热带地理, 2020, 40(2): 303-313. |
[7] | 温开祥, 李勇, 王华, 杨骥, 荆文龙, 杨传训. 基于遥感和机器学习的内陆水体水深反演技术[J]. 热带地理, 2020, 40(2): 314-322. |
[8] | 赵丽娴, 李长辉, 宋杨, 李熙. 基于夜光遥感影像的粤港澳地区城市发展时空格局演变[J]. 热带地理, 2020, 40(2): 243-253. |
[9] | 孙中宇, 荆文龙, 乔曦, 杨龙. 基于无人机遥感的盛花期薇甘菊爆发点识别与监测[J]. 热带地理, 2019, 39(4): 482-491. |
[10] | 刘凯, 龚辉, 曹晶晶, 朱远辉. 基于多类型无人机数据的红树林遥感分类对比[J]. 热带地理, 2019, 39(4): 492-501. |
[11] | 朱孟,周忠发,赵馨,黄登红,蒋翼,吴跃,崔亮. 基于无人机遥感的喀斯特高原峡谷区火龙果单株识别提取方法[J]. 热带地理, 2019, 39(4): 502-511. |
[12] | 张顺, 赵玉金, 白永飞, 杨龙, 孙中宇. 基于低空无人机的草原灌丛遥感辨识方法[J]. 热带地理, 2019, 39(4): 512-520. |
[13] | 陈黎,刘淑冰,李万能. 无人机遥感在河流岸线资源监管中的应用[J]. 热带地理, 2019, 39(4): 521-530. |
[14] | 孙中宇,黄钰辉,杨龙,王重洋,孙红斌,王佐霖,张卫强,甘先华. 基于无人机遥感的古银叶树群落健康快速诊断[J]. 热带地理, 2019, 39(4): 538-545. |
[15] | 黄登红,周忠发,吴跃,朱孟,尹林江,崔亮. 基于无人机可见光影像的高原丘陵盆地区山药植株识别[J]. 热带地理, 2019, 39(4): 571-582. |
|