基于1990—2019年多时相影像的干旱区绿洲景观格局分析

doi:10.13866/j.azr.2022.02.26

干旱区研究 ›› 2022, Vol. 39 ›› Issue (2): 594-604.doi: 10.13866/j.azr.2022.02.26

基于1990—2019年多时相影像的干旱区绿洲景观格局分析

宋奇¹(),史舟²,冯春晖³,马自强⁴,纪文君⁵,彭杰³,高琪⁶,蒋学玮¹()

1.塔里木大学园艺与林学学院,新疆阿拉尔 843300
2.浙江大学环境与资源学院,浙江杭州 310058
3.塔里木大学农学院,新疆阿拉尔 843300
4.北京大学地球与空间科学学院遥感与地理信息系统研究所,北京 100871
5.中国农业大学土地科学与技术学院,北京 100193
6.新疆昌吉州地质环境监测站,新疆昌吉 831100

收稿日期:2021-06-17 修回日期:2022-01-10 出版日期:2022-03-15 发布日期:2022-03-30
通讯作者: 蒋学玮
作者简介:宋奇（1996-）,男,在读博士研究生,主要研究方向为遥感应用与地理空间数据分析. E-mail: tarimsongqi@163.com
基金资助:
兵团南疆重点产业创新发展支撑计划资助项目(2021DB015);兵团南疆重点产业创新发展支撑计划资助项目(2021DB019);兵团中青年创新领军人才项目(2020CB032);国家重点研发计划项目(2018YFE0107000)

Analysis of landscape pattern from 1990 to 2019 based on multi-temporal imagery in arid oasis

SONG Qi¹(),SHI Zhou²,FENG Chunhui³,MA Ziqiang⁴,JI Wenjun⁵,PENG Jie³,GAO Qi⁶,JIANG Xuewei¹()

1. College of Horticulture and Forestry, Tarim University, Alar 843300, Xinjiang, China
2. College of Environmental and Resource Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
3. College of Agriculture, Tarim University, Alar 843300, Xinjiang, China
4. Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University 100871, Beijing, China
5. College of Land Science and Technology, China Agricultural University 100193, Beijing, China
6. Changji Geological Environment Monitoring Station, Changji 831100, Xinjiang, China

Received:2021-06-17 Revised:2022-01-10 Online:2022-03-15 Published:2022-03-30
Contact: Xuewei JIANG

摘要/Abstract

摘要：

利用1990—2019年间阿拉尔垦区共226景的Landsat影像数据,对比不同分类方法,从中选出精度最高的分类方法,分别从斑块类型水平、景观水平、突变情况、空间分布方面分析阿拉尔垦区连续30 a间的景观格局变化特征。结果表明：多时相面向对象的分类结果最佳,总体精度为96.57%,Kappa系数为0.95。在斑块类型水平上,30 a间耕地趋于破碎化,未利用地的优势度降低,园地和林草地的景观形状趋于复杂化,水体和建设用地的景观趋于均衡化。在景观水平上,景观形状趋于复杂化和破碎化,景观连通性降低,景观丰富度和异质性增加。阿拉尔垦区在2005年发生景观格局突变。在空间分布上,呈现出以中部塔里木河区域向四周扩散的趋势。

关键词: Landsat, 多时相面向对象, 连续时间序列, 景观格局, 突变点检验, 阿拉尔垦区

Abstract:

In this study, 226 scenes of Landsat image data of Aral Reclamation Area from 1990 to 2019 were used to compare different classification methods, from which that with the highest accuracy was selected. The landscape pattern changes in the Aral Reclamation Area for more than 30 years were analyzed in terms of patch type level, landscape level, abrupt changes, and spatial distribution, respectively. The best results were obtained for the multi-temporal object-oriented classification, with an overall accuracy of 96.57% and a Kappa coefficient of 0.95. At the patch type level, arable land tends to fragment over 30 years, the dominance of unused land decreases, the landscape shape of parkland and woodland tends to become more complex, and the landscape of water bodies and built-up land tends to become more balanced. At the landscape level, landscape shapes become more complex and fragmented, landscape connectivity decreases, and landscape richness and heterogeneity increase. The Aral Reclamation Area underwent a sudden change in landscape pattern in 2005. In terms of spatial distribution, there is a tendency for the central Tarim River region to spread out in all directions.

Key words: Landsat, multi-temporal object-oriented, continuous time series, landscape pattern, mutation point inspection, Aral Reclamation Area

宋奇,史舟,冯春晖,马自强,纪文君,彭杰,高琪,蒋学玮. 基于1990—2019年多时相影像的干旱区绿洲景观格局分析[J]. 干旱区研究, 2022, 39(2): 594-604.

SONG Qi,SHI Zhou,FENG Chunhui,MA Ziqiang,JI Wenjun,PENG Jie,GAO Qi,JIANG Xuewei. Analysis of landscape pattern from 1990 to 2019 based on multi-temporal imagery in arid oasis[J]. Arid Zone Research, 2022, 39(2): 594-604.

图/表 12

图1

图2

图3

图4

图5

图6

表1

图7

图8

图9

表2

图10

参考文献 42

[1]	Yu H, Liu X M, Kong B, et al. Landscape ecology development supported by geospatial technologies: A review[J]. Ecological Informatics, 2019, 51:185-192. doi: 10.1016/j.ecoinf.2019.03.006
[2]	Chen L D, Liu Y, Lyu Y H, et al. Pattern analysis in landscape ecology: Progress, challenges and outlook[J]. Acta Ecologica Sinica, 2008, 28(11):5521-5531. doi: 10.1016/S1872-2032(09)60011-1
[3]	Wu J G. Landscape ecology[J]. Encyclopedia of Ecology(Second Edition), 2019, 4:527-531.
[4]	Antrop M. The language of landscape ecologists and planners: A comparative content analysis of concepts used in landscape ecology[J]. Landscape and Urban Planning, 2001, 55(3):163-173. doi: 10.1016/S0169-2046(01)00151-7
[5]	Wang L Y, Eagles P F J. Some theoretical considerations: From landscape ecology to waterscape ecology[J]. Acta Ecologica Sinica, 2009, 29(3):176-181. doi: 10.1016/j.chnaes.2009.07.006
[6]	Hobbs R. Future landscapes and the future of landscape ecology[J]. Landscape and Urban Planning, 1997, 37(1-2):1-9. doi: 10.1016/S0169-2046(96)00364-7
[7]	Tagliafierro C, Longo A, Eetvelde V V, et al. Landscape economic valuation by integrating landscape ecology into landscape economics[J]. Environmental Science & Policy, 2013, 32:26-36.
[8]	Zhou Y K, Ning L X, Bai X L. Spatial and temporal changes of human disturbances and their effects on landscape patterns in the Jiangsu coastal zone, China[J]. Ecological Indicators, 2018, 93:111-122. doi: 10.1016/j.ecolind.2018.04.076
[9]	Zhang Q, Chen C L, Wang J Z, et al. The spatial granularity effect, changing landscape patterns, and suitable landscape metrics in the three gorges reservoir area, 1995-2015[J]. Ecological Indicators, 2020, 114:106259, doi: 10.1016/j.ecolind.2020.106259. doi: 10.1016/j.ecolind.2020.106259
[10]	Lu J. Landscape ecology, urban morphology, and CBDs: An analysis of the columbus, ohio metropolitan area[J]. Applied Geography, 2015, 60:301-307. doi: 10.1016/j.apgeog.2014.11.004
[11]	Li W J, Wang Y, Xie S Y, et al. Impacts of landscape multifunctionality change on landscape ecological risk in a megacity, China: A case study of Beijing[J]. Ecological Indicators, 2020, 117:106681, doi: 10.1016/j.ecolind.2020.106681. doi: 10.1016/j.ecolind.2020.106681
[12]	Zhuang Q W, Wu S X, Yan Y Y, et al. Monitoring land surface thermal environments under the background of landscape patterns in arid regions: A case study in Aksu River basin[J]. Science of the Total Environment, 2020, 710(25):136336, doi: 10.1016/j.scitotenv.2019.136336. doi: 10.1016/j.scitotenv.2019.136336
[13]	Wang L T, Wang S X, Zhou Y, et al. Landscape pattern variation, protection measures, and land use/land cover changes in drinking water source protection areas: A case study in Danjiangkou Reservoir, China[J]. Global Ecology and Conservation, 2020, 21:e00827, doi: 10.1016/j.gecco.2019.e00827. doi: 10.1016/j.gecco.2019.e00827
[14]	Zhang L, Lu W X, Hou G L, et al. Coupled analysis on land use, landscape pattern and nonpoint source pollution loads in Shitoukoumen Reservoir watershed, China[J]. Sustainable Cities and Society, 2019, 51:101788, doi: 10.1016/j.scs.2019.101788. doi: 10.1016/j.scs.2019.101788
[15]	Nowosad J, Stepinski T F. Global Inventory of landscape patterns and latent variables of landscape spatial configuration[J]. Ecological Indicators, 2018, 89:159-167. doi: 10.1016/j.ecolind.2018.02.007
[16]	Zhang M, Wang J M, Li S J, et al. Dynamic changes in landscape pattern in a large-scale opencast coal mine area from 1986 to 2015: A complex network approach[J]. Gatena, 2020, 194:104738, doi: 10.1016/j.catena.2020.104738. doi: 10.1016/j.catena.2020.104738
[17]	陈雪玲, 陈绍杰, 杜培军, 等. 基于多时相遥感影像的龙岩市景观格局变化分析[J]. 国土资源遥感, 2012, 24(2):132-137.
	[ Chen Xueling, Chen Shaojie, Du Peijun, et al. A study of the landscape pattern change of Longyan city based on multi-temporal remote sensing images[J]. Remote Sensing For Land & Resources, 2012, 24(2):132-137. ]
[18]	朱永森, 曾永年, 张猛. 基于HJ卫星数据与面向对象分类的土地利用/覆盖信息提取[J]. 农业工程学报, 2017, 33(14):258-265.
	[ Zhu Yongsen, Zeng Yongnian, Zhang Meng. Extract of land use/cover information based on HJ satellites data and object-oriented classification[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(14):258-265. ]
[19]	高国林, 王石英, 蒋容. 翠屏区植被覆盖及其景观格局变化遥感分析[J]. 水土保持研究, 2013, 20(3):104-109.
	[ Gao Guolin, Wang Shiying, Jang Rong. Remote sensing analysis on vegetation cover and landscape patterns change in Cuiping[J]. Research of Soil and Water Conservation, 2013, 20(3):104-109. ]
[20]	袁静文, 武辰, 杜博, 等. 高分五号高光谱遥感影像的城市土地利用景观格局分析[J]. 遥感学报, 2020, 24(4):465-478.
	[ Yuan Jingwen, Wu Chen, Du Bo, et al. Analysis of landscape pattern on urban land use based on GF-5 hyperspectral data[J]. Journal of Remote Sensing, 2020, 24(4):465-478. ]
[21]	Kabisch N, Selsam P, Kirsten T, et al. A multi-sensor and multi-temporal remote sensing approach to detect land cover change dynamics in heterogeneous urban landscapes[J]. Ecological Indicators, 2019, 99:273-282. doi: 10.1016/j.ecolind.2018.12.033
[22]	杜海燕, 周智彬, 刘凤山, 等. 绿洲化过程中阿拉尔垦区土壤粒径分形变化特征[J]. 干旱区研究, 2013, 30(4):615-622.
	[ Du Haiyan, Zhou Zhibin, Liu Fengshan, et al. Variation of fractal dimension of soil particle size distribution in the Aral reclamation area in oasis development[J]. Arid Zone Research, 2013, 30(4):615-622. ]
[23]	Yushanjiang A, Zhang F, Yu H, et al. Quantifying the spatial correlations between landscape pattern and ecosystem service value: A case study in ebinur lake basin, Xinjiang, China[J]. Ecological Engineering, 2018, 113(1):94-104. doi: 10.1016/j.ecoleng.2018.02.005
[24]	Wang X C, Dong X B, Liu H M, et al. Linking land use change, ecosystem services and human well-being: A case study of the manas river basin of Xinjiang, China[J]. Ecosystem Services, 2017, 27(A):113-123. doi: 10.1016/j.ecoser.2017.08.013
[25]	朱金峰, 周艺, 王世新, 等. 1975—2018年白洋淀湿地变化分析[J]. 遥感学报, 2019, 23(5):971-986.
	[ Zhu Jinfeng, Zhou Yi, Wang Shixin, et al. Analysis of changes of Baiyangdian wetland from 1975 to 2018 based on remote sensing[J]. Journal of Remote Sensing, 2019, 23(5):971-986. ]
[26]	邬建国. 景观生态学: 格局、过程、尺度与等级[M]. 北京: 高等教育出版社, 2000.
	[ Wu Jianguo. Landscape Ecology: Pattern, Process, Scale and Hierarchy[M]. Beijing: Higher Education Press, 2000. ]
[27]	闫敏华, 邓伟, 陈泮勤. 三江平原气候突变分析[J]. 地理科学, 2003, 23(6):661-667.
	[ Yan Minhua, Deng Wei, Chen Panqin. Analysis of climate jumps in the Sanjiang plain[J]. Scientia Geographica Sinica, 2003, 23(6):661-667. ]
[28]	夏芳. 钱塘江流域气候变化及其对水文径流的影响[D]. 杭州: 浙江大学, 2016.
	[ Xia Fang. Climate Change in the Qiantang River Basin and Its Influence on Local Runoff[D]. Hangzhou: Zhejiang University, 2016. ]
[29]	宋奇 . 高琪, 马自强, 等. 1990—2019年阿拉尔垦区植被覆盖时空变化特征分析[J]. 草地学报, 2021, 29(5):1014-1024.
	[ Song Qi, Gao Qi, Ma Ziqiang, et al. Characteristics of temporal and spatial variation of vegetation covers in Alar Reclamation area from 1990 to 2019[J]. Acta Agrestia Sinica, 2021, 29(5):1014-1024. ]
[30]	宋奇, 冯春晖, 高琪, 等. 阿拉尔垦区近30年耕地变化及其驱动因子分析[J]. 国土资源遥感, 2021, 33(2):202-212.
	[ Song Qi, Feng Chunhui, Gao Qi, et al. Change of cultivated land and its driving factors in Alar reclamation area in the last 30 years[J]. Remote Sensing for Land and Resources, 2021, 33(2):202-212. ]
[31]	蔡利华. 阿拉尔垦区耕地养分现状与分布特征[D]. 新疆: 石河子大学, 2013.
	[ Cai Lihua. The Status and Spatial Distribution of Soil Nutrient in Alar Reclamation Area[D]. Xinjiang: Shihezi University, 2013. ]
[32]	张艳波, 闫慧洁. 阿拉尔垦区自然灾害对农业经济影响的研究[J]. 数学的实践与认识, 2017, 47(1):286-290.
	[ Zhang Yanbo, Yan Huijie. Effect of natural disaster on agricultural economy in Alar irrigated area[J]. Mathematics in Practice and Theory, 2017, 47(1):286-290. ]
[33]	张敏, 宫兆宁, 赵文吉, 等. 近30 年来白洋淀湿地景观格局变化及其驱动机制[J]. 生态学报, 2016, 36(15):4780-4791.
	[ Zhang Ming, Gong Zhaoning, Zhao Wenji, et al. Landscape pattern change and the driving forces in Baiyangdian wetland from 1984 to 2014[J]. Acta Ecologica Sinica, 2016, 36(15):4780-4791. ]
[34]	周亚军, 刘廷玺, 段利民, 等. 锡林河流域上游河谷湿地景观格局演变及其驱动力[J]. 干旱区研究, 2020, 37(3):580-590.
	[ Zhou Yajun, Liu Tingxi, Duan Limin, et al. Driving force analysis and landscape pattern evolution in the up stream valley of Xilin River Basin[J]. Arid Zone Research, 2020, 37(3):580-590. ]
[35]	Luo F, Liu Y, Peng J, et al. Assessing urban landscape ecological risk through an adaptive cycle framework[J]. Landscape and Urban Planning, 2018, 180:125-134. doi: 10.1016/j.landurbplan.2018.08.014
[36]	Ning S K, Chang N B, Jeng K Y, et al. Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images[J]. Journal of environmental management, 2006, 79(1):88-101. doi: 10.1016/j.jenvman.2005.05.019
[37]	Wang L T, Wang S X, Zhou Y, et al. Landscape pattern variation, protection measures, and land use/land cover changes in drinking water source protection areas: A case study in Danjiangkou Reservoir, China[J]. Global Ecology and Conservation, 2020, 21:1-14.
[38]	吴金华, 刘思雨, 白帅. 基于景观生态安全的神木市生态廊道识别与优化[J]. 干旱区研究, 2021, 38(4):1120-1127.
	[ Wu Jinhua, Liu Siyu, Bai Shuai. Identification and optimization of ecological corridors in Shenmu City based on landscape ecological security[J]. Arid Zone Research, 2021, 38(4):1120-1127. ]
[39]	曾红霞, 赵成章, 王毓芳, 等. 盐池湾高寒湿地景观格局演变及其影响因素[J]. 干旱区研究, 2021, 38(6):1771-1781.
	[ Zeng Hongxia, Zhao Chengzhang, Wang Yufang, et al. Landscape pattern evolution and its influencing factors of alpine wetland in Yanchi Bay[J]. Arid Zone Research, 2021, 38(6):1771-1781. ]
[40]	金梦婷, 徐丽萍, 徐权, 等. 基于FLUS-Markov模型的多情景景观生态风险评价与预测——以南疆克州为例[J]. 干旱区研究, 2021, 38(6):1793-1804.
	[ Jin Mengting, Xu Liping, Xu Quan, et al. FLUS-Markov model-based multiscenario evaluation and prediction of the landscape ecological risk in Kezhou, South Xinjiang[J]. Arid Zone Research, 2021, 38(6):1793-1804. ]
[41]	宋奇. 阿拉尔垦区土地利用景观格局演变与生态风险评价研究[D]. 新疆: 塔里木大学, 2021.
	[ Song Qi. Study on the Evolution of Land Use Landscape Pattern and Ecological Risk Evaluation in Aral Reclamation Area[D]. Xinjiang: Tarim University, 2021. ]
[42]	吕金霞, 蒋卫国, 王文杰, 等. 近30年来京津冀地区湿地景观变化及其驱动因素[J]. 生态学报, 2018, 38(12):4492-4503.
	[ Lyu Jinxia, Jiang Weiguo, Wang Wenjie, et al. Wetland landscape pattern change and its driving forces in Beijing-Tianjin-Hebei region in recent 30 years[J]. Acta Ecologica Sinica, 2018, 38(12):4492-4503. ]

预测类别
		耕地	林草地	园地	水体	建设用地	未利用地	总计	UA/%
真实类别	耕地	24474	229	183	387	1	756	26030	94.02
	林草地	148	63977	443	449	0	1292	66309	96.48
	园地	152	809	24921	686	0	588	27156	91.77
	水体	0	16	0	57601	99	2242	59958	96.07
	建设用地	0	1	0	44	5421	403	5869	92.37
	未利用地	0	7	0	2441	642	162761	165851	98.14
总计		24774	65039	25547	61608	6163	168042	351173
PA/%		98.79	98.37	97.55	93.50	87.96	96.86	OA/%	98.79

	NP	LSI	CONTAG	SHDI
K-S检验Z值	1.830	2.132	2.407	2.252
双尾显著性检验(sig)	0.002^**	0.000^**	0.000^**	0.000^**

基于1990—2019年多时相影像的干旱区绿洲景观格局分析

Analysis of landscape pattern from 1990 to 2019 based on multi-temporal imagery in arid oasis

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 42

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	邹易, 蒙吉军. 干旱区绿洲-城镇-荒漠景观演变及生态环境效应[J]. 干旱区研究, 2023, 40(6): 988-1001.
[2]	赵剑, 邓成军, 李文利, 赵金, 公延明, 李凯辉. 近35 a新疆天山巴音布鲁克草原退化程度评价[J]. 干旱区研究, 2023, 40(4): 636-646.
[3]	张雨斯,包玉海,贺忠华. 1990—2021年内蒙古遥感生态环境质量变化及趋势分析——以呼伦贝尔市陈巴尔虎旗为例[J]. 干旱区研究, 2023, 40(2): 326-336.
[4]	肖森天, 依力亚斯江·努尔麦麦提, 努尔比耶·穆合塔尔, 赵静, 阿迪莱·阿卜来提. 基于光学和雷达多源遥感的于田绿洲土壤盐渍化时空分析[J]. 干旱区研究, 2023, 40(1): 59-68.
[5]	王靖文,唐志光,邓刚,胡国杰,桑国庆. 1991—2021年天山融雪末期雪线高度遥感监测研究[J]. 干旱区研究, 2022, 39(5): 1385-1397.
[6]	张云霞,张金茜,巩杰. 半干旱区湖盆景观格局脆弱性及其影响因素——以凉城县为例[J]. 干旱区研究, 2022, 39(4): 1259-1269.
[7]	文广超,李兴,吴冰洁,王晓鹤,谢洪波. 基于Landsat影像的柴达木盆地湖泊提取方法[J]. 干旱区研究, 2022, 39(3): 774-786.
[8]	王毓芳,赵成章,曾红霞,康满萍,赵婷婷,唐玉瑞. 疏勒河中游湿地景观时空演变及其影响因素[J]. 干旱区研究, 2022, 39(1): 282-291.
[9]	王让会,赵文斐,彭擎,刘春伟,周丽敏,田畅. 气候变化及景观格局与生态系统碳储存的耦合关系——以祁连山为例[J]. 干旱区研究, 2022, 39(1): 250-257.
[10]	曾红霞,赵成章,王毓芳,李晓雅,赵婷婷,唐玉瑞. 盐池湾高寒湿地景观格局演变及其影响因素[J]. 干旱区研究, 2021, 38(6): 1771-1781.
[11]	王晓峰,延雨,李月皓,张兴,符鑫鑫. 银川市湿地景观演变及其驱动因素[J]. 干旱区研究, 2021, 38(3): 855-866.
[12]	王俊瑶, 怀保娟, 王叶堂, 孙维君, 张悟颖. 基于MOD10A1 的祁连山黑河流域典型冰川反照率时空变化研究[J]. 干旱区研究, 2020, 37(6): 1396-1405.
[13]	黄犁, 徐丽萍. 玛纳斯河流域绿洲时空演变及其景观格局变化 [J]. 干旱区研究, 2019, 36(5): 1261-1269.
[14]	贺可，吴世新，周宏飞，杨中惠，杨怡. 玛纳斯河流域两种典型土地利用变化分析[J]. 干旱区研究, 2018, 35(4): 954-962.
[15]	李海防, 卫伟, 陈瑾, 李旭春, 张佰林. 定西关川河流域退耕还林还草对景观格局演变的影响[J]. 干旱区研究, 2014, 31(3): 410-415.