我们的网站为什么显示成这样?

可能因为您的浏览器不支持样式,您可以更新您的浏览器到最新版本,以获取对此功能的支持,访问下面的网站,获取关于浏览器的信息:

|Table of Contents|

基于Landsat 8影像的南京市热岛效应对植物物候的影响(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2018年06期
Page:
99-105
Column:
研究论文
publishdate:
2018-12-15

Article Info:/Info

Title:
The impact of urban heat island of Landsat 8 OLI on plant phenology in Nanjing
Author(s):
WANG Yanchao1ZHU Yidan2XU Dandan1*
(1. College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; 2. College of Forestry, Nanjing Forestry University, Nanjing 210037, China)
Keywords:
urban heat island vegetation phenology Landsat 8 moderate resolution imaging spectroradiometer(MODIS) normalized difference vegetation index(NDVI) Nanjing City
Classification number :
TP79; Q14
DOI:
10.3969/j.issn.1000-2006.201710024
Document Code:
A
Abstract:
【Objective】Currently, there is considerable interest in the issues of urban heat island because of the rapid pace of urban sprawl. Urban green land has the potential to reduce land surface temperature, but vegetation phenology is affected by long-term high temperatures in the urban heat island. In this study, we aimed to research the effects of urban heat island on vegetation phenology by comparing the vegetation phenology within and outside the urban heat island of Nanjing City. 【Method】To achieve this goal, the thermal bands of Landsat 8 images were used to estimate the land surface temperature, and the hot and cold spots of the land surface temperature were spatially analyzed to identify the urban heat island, which is a cluster of high land surface temperatures(hot spot of temperature)in Nanjing. The start and end of the growing season for vegetation inside and outside the urban heat island were estimated using Normalized Difference Vegetation Index(NDVI)curve extracted from MOD13Q1 images. 【Result】The results show that the images of the land surface temperature in summer were more effective in identifying the urban heat island. The start of the growing season of the vegetation on the urban heat island is earlier than that of the vegetation outside the urban heat island, and the end of the growing season in urban heat island is later than that outside the heat island. The growing season of the vegetation on the urban heat island of Nanjing is 20 days longer than that of the vegetation outside the urban heat island. 【Conclusion】The phenomena for green vegetation to adapt to the long-term urban heat island effects are that the start of the growing season is earlier, the end of the growing season is later, and the growing season is longer.

References


[1] 宋轩, 段金龙, 杜丽平. 城市热岛效应研究概况[J]. 气象与环境科学, 2009, 32(3): 68-72. DOI: 10.16765/j.cnki.1673-7148.2009.03.015.
SONG X, DUAN J L, DU L P. Research overview of the urban heat island effect[J]. Meteorological & Environmental Sciences, 2009, 32(3): 68-72.
[2] 白杨, 王晓云, 姜海梅, 等. 城市热岛效应研究进展[J]. 气象与环境学报, 2013, 29(2): 101-106. DOI: 10.3969/j.issn.1673-503X.2013.02.016.
BAI Y, WANG X Y, JIANG H M, et al. Progress of urban heat island effect[J]. Journal of Meteorology & Environment, 2013, 29(2): 101-106.
[3] 赵可新. 城市热岛效应现状与对策探讨[J]. 中国园林, 1999, 15(6): 44-45.
[4] 薛雪, 张金池, 孙永涛, 等. 上海常绿树种固碳释氧和降温增湿效益研究[J]. 南京林业大学学报(自然科学版), 2016, 40(3): 81-86. DOI: 10.3969/j.issn.1000-2006.2016.03.014.
XUE X, ZHANG J C, SUN Y T, et al. Study of carbon sequestration & oxygen release and cooling & humidifying effect of main greening tree species in Shanghai[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2016, 40(3): 81-86.
[5] 何方. 经济树木物候变化与气候的关系[J]. 经济林研究, 2004,22(1): 1-4. DOI: 10.3969/j.issn.1003-8981.2004.01.001.
HE F. Study on the relationship between climate and phenological change of non-timber trees[J]. Economic Forest Researches, 2004, 22(1): 1-4.
[6] 孙步功, 龙瑞军, 王长庭. 青藏高原祁连山东段高寒小嵩草草甸植物种群物候学研究[J]. 草业学报, 2007, 16(3): 128-131. DOI: 10.3321/j.issn:1004-5759.2007.03.020.
SUN B G, LONG R J, WANG C T. A study on the plant population phenology in a Qighai-Tibet plateau Kobresia pygmaea meadow[J]. Acta Prataculturae Sinica, 2007, 16(3): 128-131.
[7] DALLIMER M, TANG Z, GASTON K J, et al. The extent of shifts in vegetation phenology between rural and urban areas within a human-dominated region[J]. Ecol Evol, 2016, 6(7): 1942-1953. DOI:10.1002/ece3.1990.
[8] HE X, XU S, XU W, et al. Effects of climate warming on phenological characteristics of urban forest in Shenyang City, China[J]. Chinese Geographical Science, 2015, 26(1): 1-9. DOI: 10.1007/s11769-015-0782-x.
[9] ZHOU D, ZHAO S, ZHANG L, et al. Remotely sensed assessment of urbanization effects on vegetation phenology in China’s 32 major cities[J]. Remote Sensing of Environment, 2016, 176: 272-281. DOI:10.1016/j.rse.2016.02.010.
[10] 蔡红艳, 杨小唤, 张树文. 植物物候对城市热岛响应的研究进展[J]. 生态学杂志, 2014, 33(1): 221-228. DOI: 10.13292/j.1000-4890.20131220.0003
CAI H Y, YANG X H, ZHANG S W. Research advances in plant phenological responses to urban heat island[J]. Chinese Journal of Ecology, 2014, 33(1):221-228.
[11] 程晨, 蔡喆, 闫维, 等. 基于Landsat TM/ETM+的天津城区及滨海新区热岛效应时空变化研究[J]. 自然资源学, 2010, 25(10): 1727-1737. DOI:10.11849/zrzyxb.2010.10.011.
CHENG C, CAI Z, YAN W, et al. Study of temporal and spatial variation of urban heat island based on Landsat TM in central city and Binhai New Area of Tianjin[J]. Journal of Natural Resources, 2010, 25(10): 1727-1737.
[12] 陈效逑, 王林海. 遥感物候学研究进展[J]. 地理科学进展, 2009, 28(1): 33-40. DOI: 10.11820/dlkxjz.2009.01.005.
CHEN X Q, WANG L H. Progress in remote sensing phenological research[J]. Progress in Geography, 2009, 28(1): 33-40.
[13] 张学霞, 葛全胜, 郑景云. 遥感技术在植物物候研究中的应用综述[J]. 地球科学进展, 2003, 18(4): 534-544. DOI: 10.3321/j.issn:1001-8166.2003.04.009.
ZHANG X X, GE Q S, ZHENG J Y. Overview on the vegetation phenology using the remote sensing[J]. Advance in Earth Sciences, 2003, 18(4): 534-544.
[14] 宫鹏. 遥感科学与技术中的一些前沿问题[J]. 遥感学报, 2009, 13(1): 13-23. DOI: 10.11834/jrs.20090101.
GONG P. Some essential questions in remote sensing science and technology[J]. Journal of Remote Sensing, 2009, 13(1): 13-23.
[15] 夏传福, 李静, 柳钦火, 等. 植被物候遥感监测研究进展[J]. 遥感学报, 2013, 17(1): 1-16. DOI: 10.11834/jrs.20131363.
XIA C F, LI J, LIU Q H, et al. Review of advances in vegetation phenology monitoring by remote sensing[J]. Journal of Remote Sensing, 2013, 17(1): 1-16.
[16] ZIPPER S C, SCHATZ J, SINGH A, et al. Urban heat island impacts on plant phenology: intra-urban variability and response to land cover[J]. Environmental Research Letters, 2016, 11(5): 054023. DOI:10.1088/1748-9326/11/5/054023.
[17] 方刚. 基于Landsat 8卫星影像和地表参数的宿州市城市热岛效应分析[J]. 土壤通报, 2014, 45(5): 1241-1246. DOI: 10.19336/j.cnki.trtb.2014.05.035.
FANG G. Analysis of the urban heat island effect in Suzhou based on the surface parameters and the Landsat 8 satellite image[J]. Chinese Journal of Soil Science, 2014, 45(5): 1241-1246.
[18] 王晋年, 顾行发, 明涛, 等. 遥感卫星数据产品分类分级规则研究[J]. 遥感学报, 2013, 17(3): 566-577. DOI: 10.11834/jrs.20131364.
WANG J N, GU H F, MING T, et al. Classification and gradation rule for remote sensing satellite data products[J]. Journal of Remote Sensing, 2013, 17(3):566-577.
[19] 苏雅丽, 张艳芳. 基于Landsat TM/ETM~+的西安市城市热岛效应时空演变[J]. 水土保持通报, 2011, 31(5): 230-234. DOI: 10.13961/j.cnki.stbctb.2011.05.011.
SU Y L, ZHANG Y F. Spatio-temporal characteristics of urban heat island effect of Xi’an city based on Landsat TM/ETM+[J]. Bulletin of Soil & Water Conservation, 2011, 31(5): 230-234.
[20] 盛辉, 万红, 崔建勇, 等. 基于TM影像的城市热岛效应监测与预测分析[J]. 遥感技术与应用, 2010, 25(1): 8-14. DOI:10.11873/j.issn.1004-0323.2010.1.8.
SHENG H, WAN H, CUI J Y, et al. Urban heat island effect study and prediction analysis based on Landsat TM data[J]. Remote Sensing Technology & Application, 2010, 25(1): 8-14.
[21] 佟光臣, 林杰, 陈杭, 等. 基于多时相遥感数据的常州市城市热景观变化特征[J]. 水土保持研究, 2017, 24(1): 207-212. DOI:10.13869/j.cnki.rswc.2017.01.027.
TONG G C, LIN J, CHEN H, et al. Characteristic change of urban heat island in Changzhou City based on multi-temporal remote sensing data[J]. Research of Soil & Water Conservation, 2017,24(1): 207-212.
[22] ZHANG N, ZHU L, ZHU Y. Urban heat island and boundary layer structures under hot weather synoptic conditions: a case study of Suzhou City, China[J]. Advances in Atmospheric Sciences, 2011, 28(4): 855-865. DOI:10.1007/s00376-010-0040-1.
[23] 闫少锋, 张金池, 张波, 等. 2008年南京市热岛效应演变特征及其对城市居民生活影响[J]. 气象与环境学报, 2011, 27(1): 14-20. DOI:10.3969/j.issn.1673-503X.2011.01.003.
YAN S F, ZHANG J C, ZHANG B, et al. Evolution of urban heat island effect in 2008 and its influence on resident life in Nanjing, Jiangsu Province[J]. Journal of Meteorology & Environment, 2011, 27(1): 14-20.
[24] 邱新法, 顾丽华, 曾燕, 等. 南京城市热岛效应研究[J]. 气候与环境研究, 2008, 13(6): 807-814. DOI: 10.3878/j.issn.1006-9585.2008.06.12.
QIU X F, GU L H, ZENG Y, et al. Study on urban heat island effect of Nanjing[J]. Climatic & Environmental Research, 2008, 13(6): 807-814.
[25] 黄良美, 黄海霞, 项东云, 等. 南京市四种下垫面气温日变化规律及城市热岛效应[J]. 生态环境学报, 2007, 16(5): 1411-1420. DOI:10.16258/j.cnki.1674-5906.2007.05.028.
HUANG L M, HUANG H X, XIANG D Y, et al. The diurnal change of air temperature in four types of land cover and urban heat island effect in Nanjing, China[J]. Ecology & Environment, 2007, 16(5): 1411-1420.
[26] 刘颖. 关于南京市绿化问题的思考[J]. 现代城市研究, 2003(6): 80-82. DOI:10.3969/j.issn.1009-6000.2003.06.017.
LIU Y. Reflections on the green problems in Nanjing[J]. Urban Research, 2003(6): 80-82.
[27] 冯鹏,岳昊,刘晓源.基于Landsat 8 数据的地表温度反演研究——以哈尔滨主城区为例[J].测绘与空间地理信息,2018,41(9):223-225.DOI:10.3969/j.issn.1672-5867.2018.09.064.
FENG P, YUE H, LIU X Y. Land Surface temperature inversion based on Landsat 8 data: take the main city of Harbin as an example[J]. Geomatios & Spatial in Formation Technology, 2018, 41(9):223-225.
[28] 何月, 樊高峰, 张小伟, 等. 浙江省植被物候变化及其对气候变化的响应[J]. 自然资源学报, 2013, 28(2): 220-233. DOI: 10.11849/zrzyxb.2013.02.004.
HE Y,FAN G F,ZHANG X W,et al. Vegetation phenology and its response to climate change in Zhejiang Province[J]. Natural Resources Journal, 2013, 28(2): 220-233.
[29] DALL’OLMO G, KARNIELI A. Monitoring phenological cycles of desert ecosystems using NDVI and LST data derived from NOAA-AVHRR imagery[J]. International Journal of Remote Sensing, 2002, 23(19): 4055-4071. DOI:10.1080/01431160110115988.
[30] 刘雅星, 范广洲, 朱叶玉, 等. 中国木本植物生长季的变化特征分析[C]//中国气象学会. 第27届中国气象学会年会现代农业气象防灾减灾与粮食安全分会场论文集. 北京:中国气象学会, 2010.
[31] 罗海江. 基于卫星遥感的北京城乡植物物候差异[J]. 地理科学进展, 2013, 32(10): 1463-1469. DOI: 10.11820/dlkxjz.2013.10.004.
LUO H J.The study on the differences of vegetation phenology on remote sensing image in urban and rural areas in Beijing[J]. Development of Geographical Science, 2013, 32(10): 1463-1469.
[32] 杨英宝, 苏伟忠, 江南. 南京市热岛效应时空特征的遥感分析[J]. 遥感技术与应用, 2006, 21(6): 488-492. DOI: 10.11873/j.issn.1004-0323.2006.6.488.
YANG Y B, SU W Z, JIANG N. Time-space character analysis of urban heat island effect in Nanjing City using remote sensing[J]. Remote Sensing Technology & Application, 2006, 21(6): 488-492.
[33] 武文昊, 王新杰, 黄瑞芬. 基于遥感数据的常州市热岛效应分析[J]. 南京林业大学学报(自然科学版), 2017, 41(5): 185-190. DOI: 10.3969/j.issn.1000-2006.201607005.
WU W H, WANG X J, HUANG R F. Study on urban heat islands in Changzhou City based on remote sensing data[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2017, 41(5): 185-190.
[34] 韩贵锋, 徐建华, 袁兴中. 城市化对长三角地区主要城市植被物候的影响[J]. 应用生态学报, 2008(8): 1803-1809. DOI:10.13287/j.1001-9332.2008.0305.
HAN G F, XU J H, YUAN X Z. The impact of urbanization on vegetation phonological between major cities in Pan-Yangtze Delta[J]. Chinese Journal of Applied Ecology, 2008(8): 1803-1809.
[35] 张增信, 黄钰瀚, 王言鑫,等. 南京市园林植物的花期物候调查及应用[J]. 贵州农业科学, 2014(12): 195-198. DOI: 10.3969/j.issn.1001-3601.2014.12.046.
ZHANG Z X, HUANG Y H, WANG Y X, et al. Investigation and application of landscape plants phenology in Nanjing[J]. Guizhou Agricultural Science, 2014(12):195-198.

Last Update: 2018-11-30