2000-2013年三江源植被NDVI变化趋势及影响因素分析

doi:10.3724/SP.J.1047.2016.01707

地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (12): 1707-1716.doi: 10.3724/SP.J.1047.2016.01707

2000-2013年三江源植被NDVI变化趋势及影响因素分析

孙庆龄^1,²(), 李宝林^1,^2,^4,^*(), 许丽丽^1,², 张涛^1,², 葛劲松³, 李飞³

1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101
2. 中国科学院大学,北京 100049
3. 青海省生态环境遥感监测中心,西宁 810007
4. 江苏省地理信息资源开发与利用协同创新中心, 南京 210023

收稿日期:2015-12-11 修回日期:2016-03-27 出版日期:2016-12-27 发布日期:2016-12-20
通讯作者: 李宝林 E-mail:fuqiao_sun@163.com;libl@lreis.ac.cn
作者简介:
作者简介：孙庆龄（1991- ）,女,安徽阜阳人,博士生,研究方向为生态环境遥感。E-mail:fuqiao_sun@163.com
基金资助:
国家重点研发计划项目(2016YFC0500205);国家重点基础研究发展计划(973)项目(2015CB954103、2015CB954101)

Analysis of NDVI Change Trend and Its Impact Factors in the Three-River HeadwaterRegion from 2000 to 2013

SUN Qingling^1,²(), LI Baolin^1,^2,^4,^*(), XU Lili^1,², ZHANG Tao^1,², GE Jinsong³, LI Fei³

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Remote Sensing Monitoring Center for Qinghai Ecology and Environment, Xining 810007, China
4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

Received:2015-12-11 Revised:2016-03-27 Online:2016-12-27 Published:2016-12-20
Contact: LI Baolin E-mail:fuqiao_sun@163.com;libl@lreis.ac.cn

摘要/Abstract

摘要：

基于2000-2013年三江源MODIS NDVI数据,本文系统地分析了三江源植被生长季累计NDVI的时空变化特征,并结合三江源生态保护与建设工程实施的相关统计数据,探讨了人类活动对三江源植被变化的影响,最后通过气候因子与生长季累计NDVI的相关性分析,揭示了影响三江源不同地区植被变化的主要气候限制因素。结果表明,2000-2013年三江源植被NDVI整体上呈增加趋势,NDVI明显增加的区域面积比例达17.84%,主要分布于研究区的西部和北部;明显减少的区域仅占0.78%,多零星分布于研究区中部;NDVI变化稳定或没有显著变化趋势的区域面积比例为59.64%,主要位于研究区东部和南部。三江源生态保护与建设工程的实施虽然促进了植被恢复,但对区域植被整体变化的影响有限,研究时段内区域植被整体好转主要受气候因素控制。西部长江源区的植被生长主要受气温影响,东北部黄河源区主要受降水制约,南部澜沧江源区降水和气温的限制性均不明显。

关键词: 三江源, NDVI, 变化趋势, 影响因素, 生态保护与建设工程, 气候因子

Abstract:

Based on the MODIS NDVI data for the Three-River Headwater Region from 2000 to 2013, this study first systematically analyzed the spatial-temporal change pattern of yearly accumulative NDVI during the growing season. Then, the impacts of human activities on the change of NDVI were explored based on the statistical data collected in the ecological protection and construction projects implemented within the study area. Finally, correlations between the NDVI data and climate factors were acquired, and the key limiting climate factors that could impact the vegetation change within different parts of the study area were discussed. Results show that, the accumulative NDVI during the growing season increased overall from 2000 to 2013. Specifically, areas with apparent increase of NDVI accounted for 17.84% of the study area and were mainly distributed in the western and northern parts, while areas with apparent decrease of NDVI covered only 0.78% of the Three-River Headwater Region and were sporadically located in the central part. NDVI in the eastern and southern parts primarily presented a stable change trend or had no significant change trend, and its area ratio was 59.64%. Although the ecological protection and construction projects implemented within the Three-River Headwater Region had promoted the vegetation restoration, NDVI change was mainly affected by the climate factors within the whole study area, since the impacts of human activities on the regional vegetation change were limited. Spatially, NDVI in the western part of the study area (Yangtze River source region) was strongly affected by temperature, while in the northeastern part (Yellow River source region) it was affected more by precipitation. In the southern part (Lancang River source region), however, vegetation growth was affected neither by precipitation nor by temperature.

Key words: the Three-River Headwater Region, NDVI, change trend, impact factors, the ecological protection and construction projects, climate factors

孙庆龄, 李宝林, 许丽丽, 张涛, 葛劲松, 李飞. 2000-2013年三江源植被NDVI变化趋势及影响因素分析[J]. 地球信息科学学报, 2016, 18(12): 1707-1716.DOI:10.3724/SP.J.1047.2016.01707

SUN Qingling,LI Baolin,XU Lili,ZHANG Tao,GE Jinsong,LI Fei. Analysis of NDVI Change Trend and Its Impact Factors in the Three-River HeadwaterRegion from 2000 to 2013[J]. Journal of Geo-information Science, 2016, 18(12): 1707-1716.DOI:10.3724/SP.J.1047.2016.01707

图/表 7

图1

表1

表2

图2

表3

图3

图4

参考文献 45

[12]	[ Cai Y L, Zheng Y F, Wang Y L, et al. Analysis of terrestrial net primary productivity by improved CASA model in Three-river headwaters region[J]. Journal of Nanjing University of Information Science and Technology: Natural Science Edition, 2013,5(1):34-42. ] doi: 10.3969/j.issn.1674-7070.2013.01.004
[13]	王莺,李耀辉,孙旭映.气候变化对黄河源区生态环境的影响[J].草业科学,2015,32(4):539-551. doi: 10.11829\j.issn.1001-0629.2014-0190
	[ Wang Y, Li Y H, Sun X Y.Impact of climate change on the eco-environment in the Yellow River Source[J]. Pratacultural Science, 2015,32(4):539-551. ] doi: 10.11829\j.issn.1001-0629.2014-0190
[14]	中国科学院中国植被图编辑委员会.中国植被图集(1:100万)[M].北京:科学出版社,2001:89-96.
	[ The Editing Committee of China Vegetation Map, Chinese Academy of Sciences. Vegetation atlas of China (1:1 000 000)[M]. Beijing: Science Press, 2001:89-96. ]
[15]	宋富强,邢开雄,刘阳,等.基于MODIS/NDVI的陕北地区植被动态监测与评价[J].生态学报,2011,31(19):5495-5504.
	[ Song F Q, Xing K X, Liu Y, et al. Monitoring and assessment of vegetation variation in Northern Shanxi based on MODIS/NDVI[J]. Acta Ecologica Sinica, 2011,31(19):5495-5504. ]
[16]	陈燕丽,龙步菊,潘学标,等.基于MODIS NDVI和气候信息的草原植被变化监测[J].应用气象学报,2010,21(2):229-236. doi: 10.3969/j.issn.1001-7313.2010.02.013
	[ Chen Y L, Long B J, Pan X B, et al. Grassland vegetation change based on MODIS NDVI data and climate information[J]. Journal of Applied Meteorological Science, 2010,21(2):229-236. ] doi: 10.3969/j.issn.1001-7313.2010.02.013
[17]	Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures[J]. Analytical chemistry, 1964,36(8):1627-1639.
[18]	宋春桥,柯灵红,游松财,等.基于TIMESAT的3种时序NDVI拟合方法比较研究——以藏北草地为例[J].遥感技术与应用, 2011,26(2):147-155.
	[ Song C Q, Ke L H, You S C, et al. Comparison of three NDVI time-series fitting methods based on TIMESAT—taking the grassland in northern Tibet as case[J]. Remote Sensing Technology and Application, 2011,26(2):147-155. ]
[19]	Chen J, Jönsson P, Tamura M, et al. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter[J]. Remote Sensing of Environment, 2004,91(3-4):332-344. doi: 10.1016/j.rse.2004.03.014
[20]	陈琼,周强,张海峰,等.三江源地区基于植被生长季的NDVI对气候因子响应的差异性研究[J].生态环境学报,2010,19(6):1284-1289. doi: 10.3969/j.issn.1674-5906.2010.06.004
	[ Chen Q, Zhou Q, Zhang H F, et al. Spatial disparity of NDVI response in vegetation growing season to climate change in the Three-River Headwaters Region[J]. Ecology and Environmental Sciences, 2010,19(6):1284-1289. ] doi: 10.3969/j.issn.1674-5906.2010.06.004
[21]	Zhang G L, Zhang Y J, Dong J W, et al. Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011[J]. Proceedings of the National Academy of Sciences of the United States of America, 2013,110(11):4309-4314. doi: 10.1073/pnas.1210423110 pmid: 23440201
[22]	杨元合,朴世龙.青藏高原草地植被覆盖变化及其与气候因子的关系[J].植被生态学报,2006,30(1):1-8. doi: 10.17521/cjpe.2006.0001
	[ Yang Y H, Piao S L.Variations in grassland vegetation cover in relation to climatic factors on the Tibetan Plateau[J]. Journal of Plant Ecology, 2006,30(1):1-8. ] doi: 10.17521/cjpe.2006.0001
[23]	Price D T, McKenney D W, Nalderc I A, et al. A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data[J]. Agricultural and Forest Meteorology, 2000,101(2-3):81-94. doi: 10.1016/S0168-1923(99)00169-0
[24]	Hutchinson M F.ANUSPLIN Version 4.2 User Guide[K]. Canberra, Australia: Australian National University, 2001:1-21.
[25]	秦大河. 三江源区生态保护与可持续发展[M].北京:科学出版社,2014:70-76.
	[ Qin D H.Ecological protection and sustainable development in the Three-River Headwater Region[M]. Beijing: Science Press, 2014:70-76. ]
[26]	刘宪锋,任志远,林志慧,等.2000-2011年三江源区植被覆盖时空变化特征[J].地理学报,2013,68(7):897-908.
	[ Liu X F, Ren Z Y, Lin Z H, et al. The spatial-temporal changes of vegetation coverage in the Three-River Headwater Region in recent 12 years[J]. Acta Geographica Sinica, 2013,68(7):897-908. ]
[1]	樊江文,邵全琴,刘纪远,等. 1988-2005年三江源草地产草量变化动态分析[J].草地学报,2010,18(1):5-10. doi: 10.11733/j.issn.1007-0435.2010.01.002
	[ Fan J W, Shao Q Q, Liu J Y, et al. Dynamic changes of grassland yield in ThreeRiver Headwater Region from 1988 to 2005[J]. Acta Agrestia Sinica, 2010,18(1):5-10. ] doi: 10.11733/j.issn.1007-0435.2010.01.002
[27]	邵全琴,樊江文,等. 三江源区生态系统综合监测与评估[M].北京:科学出版社,2012:394,473-485.
	[ Shao Q Q, Fan J W, et al.Integrated monitoring and evaluation of ecosystems in the Three-River Headwater Region[M]. Beijing: Science Press, 2012:394,473-485. ]
[2]	赵新全. 高寒草甸生态系统与全球变化[M].北京:科学出版社,2009:309-335.
	[ Zhao X Q.Alpine meadow ecosystem and global change[M]. Beijing: Science Press, 2009:309-335. ]
[28]	Stow D, Daeschner S, Hope A, et al. Variability of the seasonally integrated normalized difference vegetation index across the north slope of Alaska in the 1990s[J]. International Journal of Remote Sensing, 2003,24(5):1111-1117. doi: 10.1080/0143116021000020144
[29]	张月丛,赵志强,李双成,等.基于SPOT NDVI的华北北部地表植被覆盖变化趋势[J].地理研究,2008,27(4):745-755.
	[ Zhang Y C, Zhao Z Q, Li S C, et al. Indicating variation of surface vegetation cover using SPOT NDVI in the northern part of North China[J]. Geographical Research, 2008,27(4):745-755. ]
[30]	Deng F, Chen J M, Plummer S, et al. Algorithm for global leaf area index retrieval using satellite imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006,44(8):2219-2229. doi: 10.1109/TGRS.2006.872100
[3]	唐红玉,肖风劲,张强,等.三江源区植被变化及其对气候变化的响应[J].气候变化研究进展,2006,2(4):177-180. doi: 10.3969/j.issn.1673-1719.2006.04.006
	[ Tang H Y, Xiao F J, Zhang Q, et al. Vegetation change and its response to climate change in Three-River Source Region[J]. Advances in Climate Change Research, 2006,2(4):177-180. ] doi: 10.3969/j.issn.1673-1719.2006.04.006
[31]	张正健,刘志红,郭艳芬,等.基于NDVI的西藏不同草地类型生物量回归建模分析[J].高原山地气象研究,2010,30(3):43-47. doi: 10.3969/j.issn.1674-2184.2010.03.007
	[ Zhang Z J, Liu Z H, Guo Y F, et al. Biomass modeling of different grassland types based on NDVI in Tibet[J]. Plateau and Mountain Meteorology Research, 2010,30(3):43-47. ] doi: 10.3969/j.issn.1674-2184.2010.03.007
[32]	蒋蕊竹,李秀启,朱永安,等.基于MODIS黄河三角洲湿地NPP与NDVI相关性的时空变化特征[J].生态学报,2011,31(22):6708-6716.
	[ Jiang R Z, Li X Q, Zhu Y A, et al. Spatial-temporal variation of NPP and NDVI correlation in wetland of Yellow River Delta based on MODIS data[J]. Acta Ecologica Sinica, 2011,31(22):6708-6716. ]
[33]	Wang G X, Cheng G D.Eco-environmental changes and causative analysis in the source regions of the Yangtze and Yellow Rivers, China[J]. Environmentalist, 2000,20(3):221-232. doi: 10.1023/A:1006703831018
[34]	Feng J M, Wang T, Xie C W.Eco-environmental degradation in the source region of the Yellow River, northeast Qinghai-Xizang Plateau[J]. Environmental Monitoring and Assessment, 2006,122(1-3):125-143. doi: 10.1007/s10661-005-9169-2
[4]	李林,朱西德,周陆生,等.三江源地区气候变化及其对生态环境的影响[J].气象,2004,30(8):18-21. doi: 10.3969/j.issn.1000-0526.2004.08.004
	[ Li L, Zhu X D, Zhou L S, et al. Climatic changes over headwater of the Three-River-Area and its effect on ecological environment[J]. Meteorological Monthly, 2004,30(8):18-21. ] doi: 10.3969/j.issn.1000-0526.2004.08.004
[35]	Liu J Y, Xu X L, Shao Q Q.Grassland degradation in the “Three-River Headwaters” region, Qinghai Province[J]. Journal of Geographical Sciences, 2008,18(3):259-273. doi: 10.1007/s11442-008-0259-2
[36]	王根绪,程国栋.江河源区的草地资源特征与草地生态变化[J].中国沙漠,2001,21(2):101-107.
[5]	李辉霞,刘国华,傅伯杰.基于NDVI的三江源地区植被生长对气候变化和人类活动的响应研究[J].生态学报,2011,31(19):5495-5504.
	[ Li H X, Liu G H, Fu B J.Response of vegetation to climate change and human activity based on NDVI in the Three-River Headwaters region[J]. Acta Ecologica Sinica, 2011,31(19):5495-5504. ]
[36]	[ Wang G X, Cheng G D.Characteristics of grassland and ecological changes of vegetation in the source regions of Yangtze and Yellow Rivers[J]. Journal of Desert Research, 2001,21(2):101-107. ]
[37]	兰玉蓉. 青藏高原高寒草甸草地退化现状及治理对策[J].青海草业,2004,13(1):27-30. doi: 10.3969/j.issn.1008-1445.2004.01.009
	[ Lan Y R.The degradation problem and strategy of alpine meadow in Qingzang Plateau[J]. Qinghai Prataculture, 2004,13(1):27-30. ] doi: 10.3969/j.issn.1008-1445.2004.01.009
[38]	周杰. 青藏高原高寒草甸冻融退化过程中群落及化学计量特征的研究[D].兰州:兰州大学,2013.
[6]	Qian S, Fu Y, Pan F F.Climate change tendency and grassland vegetation response during the growth season in Three-River Source Region[J]. Science China: Earth Sciences, 2010,53(10):1506-1512. doi: 10.1007/s11430-010-4064-2
[7]	邵全琴,赵志平,刘纪远,等.近30年来三江源地区土地覆被与宏观生态变化特征[J].地理研究,2010,29(8):1439-1451. doi: 10.11821/yj2010080009
[38]	[ Zhou J.The response of plant communities and its ecological stoichiometry of alpine meadow to freeze-thaw degradation in Qinghai-Tibetan Plateau[D]. Lanzhou: Lanzhou University, 2013. ]
[39]	王根绪,李元寿,王一博,等.青藏高原河源区地表过程与环境变化[M].北京:科学出版社,2010:21-56, 253.
	[ Wang G X, Li Y S, Wang Y B, et al.Surface processes and environmental changes in the source regions of rivers on the Qinghai-Tibet Plateau[M]. Beijing: Science Press, 2010:21-56,253. ]
[40]	徐维新,古松,苏文将,等.1971-2010年三江源地区干湿状况变化的空间特征[J].干旱区地理,2012,35(1):46-55.
[7]	[ Shao Q Q, Zhao Z P, Liu J Y, et al. The characteristics of land cover and macroscopical ecology changes in the source region of three rivers on Qinghai-Tibet Plateau during last 30 years[J]. Geographical Research, 2010,29(8):1439-1451. ] doi: 10.11821/yj2010080009
[8]	刘正佳,邵全琴.三江源地区植被覆盖度变化及其与气候因子的关系[J].水土保持研究,2014,21(6): 334-339.
[40]	[ Xu W X, Gu S, Su W J, et al. Spatial pattern and its variations of aridity/humidity during 1971-2010 in Three-River Source Region on the Qinghai-Tibet Plateau[J]. Arid Land Geography, 2012,35(1):46-55. ]
[41]	申红艳,时兴合,朱西德,等.青海省冬季气温变化成因及其预测方法探讨[J].冰川冻土,2015,37(3):685-691. doi: 10.7522/j.issn.1000-0240.2015.0077
[8]	[ Liu Z J, Shao Q Q.Vegetation coverage change and its response to climate change in Three-River Headwaters Region[J]. Research of Soil and Water Conservation, 2014,21(6):334-339. ]
[9]	杨建平,丁永建,陈仁升.长江黄河源区高寒植被变化的NDVI记录[J].地理学报,2005,60(3):467-478.
[41]	[ Shen H Y, Shi X H, Zhu X D, et al. Causes analysis on variations of winter air temperature in the Qinghai Province and discussion on their prediction method[J]. Journal of Glaciology and Geocryology, 2015,37(3):685-691. ] doi: 10.7522/j.issn.1000-0240.2015.0077
[42]	刘光生,王根绪,胡宏昌,等.长江黄河源区近45年气候变化特征分析[J].资源科学,2010,32(8):1486-1492.
	[ Liu G S, Wang G X, Hu H C, et al. Climate change characteristics in the source regions of the Yangtze River and Yellow River over the past 45 years[J]. Resources Science, 2010,32(8):1486-1492. ]
[43]	才尕. 班玛县气温和降雨量对禾本科、莎草科产草量的影响[J].安徽农业科学,2015,43(24):174-176.
[9]	[ Yang J P, Ding Y J, Chen R S.NDVI reflection of alpine vegetation changes in the source regions of the Yangtze and Yellow rivers[J]. Acta Geographica Sinica, 2005,60(3):467-478. ]
[10]	刘纪远,徐新良,邵全琴.近30年来青海三江源地区草地退化的时空特征[J].地理学报,2008,63(4):364-376.
[43]	[ Cai G.Effects of temperature and precipitation on grass yield of gramineae and cyperaceae plants in Banma county[J]. Journal of Anhui Agriculture, 2015,43(24):174-176. ]
[44]	刘彩红,余锦华,李红梅. RCPs情景下未来青海高原气候变化趋势预估[J].中国沙漠,2015,35(5):1353-1361. doi: 10.7522/j.issn.1000-694X.2014.00138
[10]	[ Liu J Y, Xu X L, Shao Q Q.The spatial and temporal characteristics of grassland degradation in the Three-River Headwaters Region in Qinghai Province[J]. Acta Geographica Sinica, 2008,63(4):364-376. ]
[11]	Zhang Y L, Liu L S, Bai W Q, et al. Grassland degradation in the source region of the Yellow River[J]. Acta Geographica Sinica, 2006,61(1):3-14.
[44]	[ Liu C H, Yu J H, Li H M.Projected climate change under the RCPs scenario in the Qinghai Plateau[J]. Journal of Desert Research, 2015,35(5):1353-1361. ] doi: 10.7522/j.issn.1000-694X.2014.00138
[45]	张镱锂,胡忠俊,祁威,等.基于NPP数据和样区对比法的青藏高原自然保护区保护成效分析[J].地理学报,2015,70(7):1027-1040. doi: 10.11821/dlxb201507001
[12]	蔡雨恋,郑有飞,王云龙,等.利用改进的CASA模型分析三江源区净植被生产力[J]. 南京信息工程大学学报: 自然科学版,2013,5(1):34-42. doi: 10.3969/j.issn.1674-7070.2013.01.004
[45]	[ Zhang Y L, Hu Z J, Qi W, et al. Assessment of protection effectiveness of nature reserves on the Tibetan Plateau based on net primary production and the large-sample-comparison method[J]. Acta Geographica Sinica, 2015,70(7):1027-1040. ] doi: 10.11821/dlxb201507001

变化类型	F检验显著性水平	变化率/(%)
发生趋势性变化
明显增加	P<0.1	R≥15.0
略微增加	P<0.1	5.0<R<15.0
明显减少	P<0.1	R≤-15.0
略微减少	P<0.1	-15.0<R<-5.0
未发生趋势性变化
变化稳定	P<0.1	-5.0≤R≤5.0
无显著变化	P>0.1

变化类型		面积/km²	占研究区比例/(%)
发生趋势性变化	明显增加	63 721	17.84
	略微增加	43 365	12.14
	明显减少	2802	0.78
	略微减少	6654	1.86
未发生趋势性变化	变化稳定	1448	0.41
	无显著变化	211 605	59.23
总计		329 595	92.26

项目类型	实施时段	计划实施面积/km²	实际实施面积/km²
退牧还草	2003-2012	6.44	5.65
退耕还林（草）	2004-2012	0.01	0.01
水土保持	2005-2012	500.00	500.00
封山育林	2005-2012	0.30	0.24
沙漠化治理	2005-2012	0.04	0.04
湿地保护	2005-2012	0.11	0.01
黑土滩治理	2005-2012	0.37	0.23
鼠害防治	2005-2012	2.09	7.83
灌溉饲草基地	2009-2012	0.00	0.00
总计		509.36	514.01

2000-2013年三江源植被NDVI变化趋势及影响因素分析

Analysis of NDVI Change Trend and Its Impact Factors in the Three-River HeadwaterRegion from 2000 to 2013

RichHTML

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 45

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	方云皓, 顾康康. 基于多元数据的中国地理空间疫情风险评估探索——以2020年1月1日至4月11日COVID-19疫情数据为例[J]. 地球信息科学学报, 2021, 23(2): 284-296.
[2]	高楹, 宋辞, 郭思慧, 裴韬. 接驳地铁站的共享单车源汇时空特征及其影响因素[J]. 地球信息科学学报, 2021, 23(1): 155-170.
[3]	张小东, 韩昊英, 陈宇. 2003—2018年中国地级城市土地出让交易状况及时空动态特征[J]. 地球信息科学学报, 2020, 22(9): 1823-1836.
[4]	陈如如, 胡中民, 李胜功, 郭群. 不同数据源归一化植被指数在中国北方草原区的应用比较[J]. 地球信息科学学报, 2020, 22(9): 1910-1919.
[5]	张亚, 刘纪平, 周亮, 王勇, 李鹏飞. 基于DBSCAN算法的北京市顺丰快递服务设施集群识别与空间特征分析[J]. 地球信息科学学报, 2020, 22(8): 1630-1641.
[6]	周伟, 李浩然, 石佩琪, 谢利娟, 杨晗. 三江源区毒杂草型退化草地植被光谱特征分析[J]. 地球信息科学学报, 2020, 22(8): 1735-1742.
[7]	孙威, 林晓娜. 柳州市汽车制造业企业的空间格局与影响因素[J]. 地球信息科学学报, 2020, 22(6): 1216-1227.
[8]	吴康敏, 王洋, 叶玉瑶, 张虹鸥. 广州市零售业态空间分异影响因素识别与驱动力研究[J]. 地球信息科学学报, 2020, 22(6): 1228-1239.
[9]	湛东升, 谢春鑫, 张文忠, 丁亮, 许婧雪, 甄茂成. 基于累计机会可达性的北京城市公共服务设施复合功能识别[J]. 地球信息科学学报, 2020, 22(6): 1320-1329.
[10]	周琦, 高长春. 城市创意产业空间动态集聚演化的计算与可视优化方法[J]. 地球信息科学学报, 2020, 22(5): 1033-1048.
[11]	李培林, 刘小平, 黄应淮, 张鸿辉. 基于GEE平台的广州市主城区不透水面时间序列提取[J]. 地球信息科学学报, 2020, 22(3): 638-648.
[12]	孙玉燕, 张磊, 卢善龙, 刘红超. 基于动态NDSI阈值的每日积雪监测方法[J]. 地球信息科学学报, 2020, 22(2): 298-307.
[13]	李文梁, 汪驰升, 朱武. 中国大陆地区TanDEM-X 90 m DEM误差空间分布特征[J]. 地球信息科学学报, 2020, 22(12): 2277-2288.
[14]	赵丹丹, 金声甜, 鲍丙飞, 张利国. 基于地理探测器的中国中部城市土地绿色利用效率时空演变及影响因素研究[J]. 地球信息科学学报, 2020, 22(12): 2358-2370.
[15]	宋海慧, 余卓渊, 丁晓彤, 谢云鹏, 吕可晶. 森林脑炎时空分布特征和环境影响因素分析[J]. 地球信息科学学报, 2020, 22(12): 2371-2382.