ESTARFM模型在西藏色林错湖面积时空变化中的应用分析(1976-2014年)

doi:10.3724/SP.J.1047.2016.00833

地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (6): 833-846.doi: 10.3724/SP.J.1047.2016.00833

ESTARFM模型在西藏色林错湖面积时空变化中的应用分析(1976-2014年)

郝贵斌^1,²(), 吴波¹, 张立福^2,^*(), 付东杰², 李瑶²

1. 福州大学空间数据挖掘和信息共享教育部重点实验室,福建省空间信息工程研究中心,福州 350002
2. 中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京 100101

收稿日期:2015-07-09 修回日期:2015-09-18 出版日期:2016-06-10 发布日期:2016-06-10
作者简介:
作者简介：郝贵斌（1990-）,男,硕士生,研究方向为时空数据融合与长时间序列分析。E-mail: haoguibin2009@126.com
基金资助:
国家自然科学基金项目（41201348、41371359、41571330）;高分水利遥感应用示范系统(08-Y30B07-9001-13/15-01);福建省科学基金项目（2015J01163）

Temporal and Spatial Variation Analysis of the Area of Siling Co Lake in Tibet Based on ESTARFM (1976-2014)

HAO Guibin^1,²(), WU Bo¹, ZHANG Lifu^2,^*(), FU Dongjie², LI Yao²

1. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China
2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Received:2015-07-09 Revised:2015-09-18 Online:2016-06-10 Published:2016-06-10
Contact: ZHANG Lifu

摘要/Abstract

摘要：

湖泊（特别是内陆湖）作为全球气候变化的敏感区域,是气候变化与环境变异的指示器,其面积变化在一定程度上可反映区域的气候变化。因此,精确监测湖泊面积的时空变化,对分析区域生态环境变化具有重要的意义。本文基于ESTARFM时空数据融合模型,利用MODIS数据模拟了2000年后无法得到的Landsat数据;利用NDWI和MNDWI 2种水体指数并辅以DEM数据分析了1976-2014年西藏色林错湖湖面面积的时空变化;综合湖区周围6个气象站点的气象数据(1970-2014年),探究了湖面面积变化的原因及其对气候变化的响应。结果表明：(1)利用ESTARFM时空融合模型得到的Landsat-Like数据与真实的Landsat数据在水体信息提取方面具有较高的相关性,R²可达0.93,时空数据融合的结果可用于湖泊水体的信息提取;(2)近40年来（1976-2014年）,色林错湖处于持续扩张状态,面积呈较显著的增长趋势,增加了近711.652 km²,增幅为42.36%,年平均增长速率约为18.728 km²a^-1,增长最快时可达55.954 km²a^-1;湖面面积变化先后经历了平稳变化-迅速变化-平稳变化3个阶段;北部湖区在40年间变化最为明显,向北扩展了约22.812 km;2003-2005年,南部湖区已与雅根错湖连为一体,随后二者共同扩张;(3)气温的持续升高造成的冰雪融水补给增加可能是导致湖泊面积扩张的主要因素,风速的降低为次要因素,湖面的面积变化与降水量、日照时数的变化相关性不明显。

关键词: 时空融合, ESTARFM, MODIS, Landsat, 西藏色林错, 时空分析

Abstract:

Lakes, especially the inland lakes, are sensitive to global climate change, which are the indicator of environmental variation. The area of lakes can reflect local climate change information. Thus, the rapid and accurate monitor of the dynamic change of the lake area is of great significance to analyze regional ecological environment. Based on MODIS data, this study used ESTARFM to simulate the Landsat data which are unavailable after 2000, and utilized two types of water index assisted by DEM data to analyze the dynamic area change of Siling Co Lake in Tibet from 1976 to 2014. Then, we analyzed the reasons of lake area change and its respond to climate change using the meteorological data acquired by six adjacent meteorological stations from 1976 to 2014. Conclusions can be made according to the results as the following statements. (1) The Landsat-like data acquired by ESTARFM was consistent to the real Landsat data in water information extraction, whose determination coefficient can reach a value of greater than 0.93. So, the fused data can be applied to extract the information of lakes. (2) Siling Co kept expanding from 1976 to 2014, the area of which increased approximately 711.652 km², which is 42.36% larger. The average annual growth was about 18.728 km², and the largest annual increase was up to 55.954 km². The whole process of lake area change can be divided into three stages: the smooth change, the rapid change, and the smooth change again. The northern region changed most obviously, extending northward for about 22.812 km². From 2003 to 2005, the southern region was integrated with Ya Gencuo Lake, and then they expanded together. (3) The snow-ice melting water supply caused by global warming might be the main reason for lake spread, and the decrease of wind speed was the secondary factor. However, the amount of precipitation and sunshine duration were poorly related to the lake area change.

Key words: temporal-spatial fusion, ESTARFM, MODIS, Landsat, Siling Co, temporal and spatial variation analysis

郝贵斌, 吴波, 张立福, 付东杰, 李瑶. ESTARFM模型在西藏色林错湖面积时空变化中的应用分析(1976-2014年)[J]. 地球信息科学学报, 2016, 18(6): 833-846.DOI:10.3724/SP.J.1047.2016.00833

HAO Guibin,WU Bo,ZHANG Lifu,FU Dongjie,LI Yao. Temporal and Spatial Variation Analysis of the Area of Siling Co Lake in Tibet Based on ESTARFM (1976-2014)[J]. Journal of Geo-information Science, 2016, 18(6): 833-846.DOI:10.3724/SP.J.1047.2016.00833

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年份	日期(DOY)	传感器类型	行号/列号	空间分辨率/m
1976	11-13(318)	MSS	150/38	60
1988	11-30(335)	TM	139/38	30
1989	11-18(322)	TM	139/38	30
1991	11-08(312)	TM	139/38	30
1992	11-10(315)	TM	139/38	30
1993	11-13(317)	TM	139/38	30
1999	11-06(310)	ETM+	139/38	30
2000	11-08(313)	ETM+	139/38	30
2001	11-11(315)	ETM+	139/38	30
2002	11-30(334)	ETM+	139/38	30
2003	11-09(313)	TM	139/38	30
2004	11-02(307)	TM	139/38	30
2005	11-14(318)	TM	139/38	30
2009	10-31(308)	TM	139/38	30
2014	11-07(311)	OLI	139/38	30

年份	预测日期(DOY)	利用的TM数据日期(DOY)	利用的MODIS数据日期(DOY)
2006	313	273 337	273 337
2007	313	276	273
2008	313	279	281
2010	313	220 364	217 361
2011	313	239	241
2012	313	282 346	281 345
2013	313	212 340	209 337

光谱范围	Landsat TM波段(分辨率/m)	波段范围/μm	MODIS波段(分辨率/m)	波段范围/μm
可见光(蓝)	B1(30)	0.450~0.520	B3(500)	0.459~0.479
可见光(绿)	B2(30)	0.520~0.600	B4(500)	0.545~0.565
可见光(红)	B3(30)	0.620~0.690	B1(250)	0.620~0.670
近红外	B4(30)	0.760~0.900	B2(250)	0.841~0.876
中红外	B5(30)	1.550~1.750	B6(500)	1.628~1.652
热红外	B6(60)	1.040~1.250	B5(500)	1.230~1.250
中红外	B7(30)	2.080~2.350	B7(500)	2.105~2.155

年份	Landsat面积	MODIS面积	年份	Landsat面积	MODIS面积
1976	1679.911	-	2004	2153.267	2139
1988	1753.616	-	2005	2244.368	2245.5
1989	1771.530	-	2006	2254.180	2258.5
1991	1814.634	-	2007	2275.484	2272
1992	1815.849	-	2008	2301.161	2294
1993	1821.047	-	2009	2330.384	2308
1999	1908.646	-	2010	2349.389	2336.75
2000	1948.622	1955	2011	2370.803	2370.25
2001	2014.540	2011.5	2012	2379.063	2385
2002	2063.507	2053.5	2013	2381.619	2383.75
2003	2122.813	2122	2014	2391.563	2392.75

ESTARFM模型在西藏色林错湖面积时空变化中的应用分析(1976-2014年)

Temporal and Spatial Variation Analysis of the Area of Siling Co Lake in Tibet Based on ESTARFM (1976-2014)

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