TROPICAL GEOGRAPHY ›› 2018, Vol. 38 ›› Issue (4): 536-545.doi: 10.13284/j.cnki.rddl.003042
Previous Articles Next Articles
FENG Shanshan,FAN Fenglei
Online:
2018-07-05
Published:
2018-07-05
FENG Shanshan,FAN Fenglei. Spatial-Temporal Changes of Impervious Surface in the Guangdong-Hong Kong- Macao Greater Bay Area during 2006-2016[J].TROPICAL GEOGRAPHY, 2018, 38(4): 536-545.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
ADAMS J B,SABOL D E,KAPOS V,FILHO R A,ROBERTS D A,SMITH M O and GILLESPIE A R.1995.Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon.Remote Sensing of Environment,52(2):137-154.蔡赤萌.2017.粤港澳大湾区城市群建设的战略意义和现实挑战.广东社会科学,(4):5-14.[CAI Chimeng.2017.The Building of a World-Class City Cluster in Guangdong-Hong Kong-Macao Greater Bay Area:Strategic Meanings and Challenges.Guangdong Journal of Social Sciences,(4):5-14.]陈朝萌.2016.粤港澳大湾区港口群定位格局实证分析.深圳大学学报(人文社会科学版),33(4):32-35.[CHEN Zhao meng.2016.Empirical analysis of port group positioning in the Guangdong-Hong Kong-Macau Big Bay Area.Journal of Shenzhen University(Humanities & Social Sciences),33(4):32-35.]DENG Y B,FAN F L and CHEN R R.2012.Extraction and analysis of impervious surfaces based on a spectral un-mixing method using Pearl River Delta of China Landsat TM/ETM+imagery from 1998 to 2008.Sensors,12(2):1846.FAN F L,WANG Y P and WANG Z S.2008.Temporal and spatial change detecting(1998-2003)and predicting of land use and land cover in core corridor of Pearl River Delta(China)by using TM and ETM+ images.Environmental Monitoring and Assessment,137(1/3):127.胡伟平,吴志峰,何建邦.2002.基于遥感的珠江三角洲城镇等级规模研究.地理科学进展,21(4):358-364.[HU Weiping,WU Zhifeng and HE Jianbang.2002.Studies on urban grade-size change in the Pearl River Delta based on remote sensing.Progress in Geography,21(4):358-364.]胡伟平,何建邦.2003.GIS支持下珠江三角洲城镇建筑覆盖变化遥感监测分析.遥感学报,7(3):201-206.[HU Weiping and HE Jianbang.2003.Build-up land-cover change monitoring by remote sensing of urban area in the Pearl River Delta based on GIS.Journal of Remote Sensing,7(3):201-206.]黎夏,叶嘉安.1997.利用遥感监视和分析珠江三角洲的城市扩张过程——以东莞市为例.地理研究,16(4):56-62.[LI Xia and YE Jia’an.1997.Application of remote sensing for monitoring and analysis of urban expansion-a case study of Dongguan.Geographical Research,16(4):56-62.]黎夏,彭沛全,廖其芳.1998.利用遥感与GIS分析珠江三角洲农田流失的空间分布规律及影响因素——以东莞市为例.热带地理,18(2):98-102.[LI Xia,PENG Peiquan and LIAO Qifang.1998.An analysis of the spatial distribution of agricultural land loss and its determinations in Dongguan with remote sensing and GIS.Tropical Geography,18(2):98-102.]李晓莉,申明浩.2017.新一轮对外开放背景下粤港澳大湾区发展战略和建设路径探讨.国际经贸探索,(9):4-13.[LI Xiaoli and SHEN Minghao.2017.Discussion on Development Strategy and Construction Path of the Guangdong-Hong Kong-Macao Greater Bay Area in the new round of opening up.International Economics And Trade Research,(9):4-13.]李睿.2015.国际著名“湾区”发展经验及启示港口经济,(9):5-8..[LI Rui.2015.Development experience and enlightenment of international famous “Bay Area”.Port Economy,(9):5-8.]李郇,郑莎莉,梁育填.2017.贸易促进下的粤港澳大湾区一体化发展.热带地理,37(6):792-801.[LI Xun,ZHENG Sali and LIANG Yutian.2017.Integration process of the Guangdong- Hongkong-Macao Greater Bay Area under the promotion of trade.Tropical Geography,37(6):792-801.]林初昇.2017.“粤港澳大湾区”城市群发展规划之可为与不可为.热带地理,37(6):755-756,761.[George C S LIN.2017.Planning for the development of the city-regions in the Guangdong-Hong Kong-Macao Greater Bay Area:what can and cannot be done.Tropical Geography,37(6):755-756,761.]LU D S and WENG Q H.2006.Use of impervious surface in urban land-use classification.Remote Sensing of Environment,102(1):146-160.马向明,陈洋.2017.粤港澳大湾区:新阶段与新挑战.热带地理,37(6):762-774.[MA Xiangming and CHEN Yang.2017.The Guangdong-Hong Kong-Macao Greater Bay Area:a new era and a big challenge.Tropical Geography,37(6):762-774.]RIDD M K.1995.Exploring a V-I-S(vegetation-impervious surface-soil)model for urban ecosystem analysis through remote sensing:comparative anatomy for cities.International Journal of Remote Sensing,16(12):2165-2185.ROBERTS D A,SMITH M O and ADAMS J B.1993.Green vegetation,nonphotosynthetic vegetation,and soils in AVIRIS data.Remote Sensing of Environment,44(2/3):255-269.SLONECKER E T,JENNINGS D B and GAROFALO D.2001.Remote sensing of impervious surfaces:A review.Remote Sensing Reviews,20(3):227-255.王浩,吴炳方,李晓松.2011.流域尺度的不透水面遥感提取.遥感学报,15(2):388-400.[WANG Hao,WU Bingfang and LI Xiaosong.2011.Extraction of impervious surface in Hai Basin using remote sensing.Journal of Remote Sensing,15(2):388-400.]WENG Q H.2001.A remote sensing GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta,China.International Journal of Remote Sensing,22(10):1999-2014.WENG Q H.2012.Remote sensing of impervious surfaces in the urban areas: requirements,methods and trends.Remote Sensing of Environment,117(2):34-49.WU C S and MURRAY A T.2003.Estimating impervious surface distribution by spectral mixture analysis.Remote Sensing of Environment,84(4):493-505.徐涵秋.2009.城市不透水面与相关城市生态要素关系的定量分析.生态学报,29(5):2456-2462.[XU Hanqiu.2009.Quantitative analysis on the relationship of urban impervious surface with other components of the urban ecosystem.Acta Ecologica Sinica,29(5):2456-2462.]XU H Q.2006.Modification of normalised difference water index(NDWI) to enhance open water features in remotely sensed imagery.International Journal of Remote Sensing,27(14):3025-3033.徐涵秋,王美雅.2016.地表不透水面信息遥感的主要方法分析.遥感学报,20(5):1270-1289.[XU Hanqiu and WANG Meiya.2016.Remote sensing-based retrieval of ground impervious surface.Journal of Remote Sensing,20(5):1270-1289.]YEH A G O.2001.Measurement and monitoring of urban sprawl in a rapidly growing region using entropy.Photogrammetric Engineering & Remote Sensing,67(1):83-90.张日新,谷卓桐.2017.粤港澳大湾区的来龙去脉与下一步.改革,(5):64-73.[ZHANG Rixin and GU Zhuotong.2017.The origin and next move of Guangdong-Hongkong-Macao Greater Bay.Reform,(5):64-73.]周春山,罗利佳,史晨怡,王珏晗.2017.粤港澳大湾区经济发展时空演变特征及其影响因素.热带地理,37(6):802-813.[ZHOU Chunshan,LUO Lijia,SHI Chenyi and WANG Juehan.2017.Spatio- temporal evolutionary characteristics of the economic development in the Guangdong-Hong Kong-Macao Greater Bay Area and its influencing factors.Tropical Geography,37(6):802-813.] |
|