基于Google Earth和MODIS陆地数据的农林地转换对地表温度的影响——以长江中下游及毗邻地区为例

doi:10.18306/dlkxjz.2019.05.007

地理科学进展 ›› 2019, Vol. 38 ›› Issue (5): 698-708.doi: 10.18306/dlkxjz.2019.05.007

基于Google Earth和MODIS陆地数据的农林地转换对地表温度的影响——以长江中下游及毗邻地区为例

赵彩杉¹(), 曾刚², 张丽娟¹, 张学珍^3,^*()

1. 哈尔滨师范大学寒区地理环境监测与空间信息服务黑龙江省重点实验室,哈尔滨 150025
2. 南京信息工程大学气象灾害教育部重点实验室,南京 210044
3. 中国科学院地理科学与资源研究所中国科学院陆地表层格局与模拟重点实验室,北京100101

收稿日期:2018-12-27 修回日期:2019-02-09 出版日期:2019-05-28 发布日期:2019-05-28
通讯作者: 张学珍 E-mail:zcs0719@163.com;xzzhang@igsnrr.ac.cn
作者简介:
第一作者简介：赵彩杉(1995— ),女,硕士生,主要从事陆-气相互作用研究。E-mail: zcs0719@163.com
基金资助:
中国科学院前沿科学重点研究项目 (QYZDB-SSW-DQC005);国家自然科学基金项目(41790424);气象灾害教育部重点实验室开放课题(KLME1506);中国科学院青年创新促进会资助项目(2015038)

Effects of cropland and woodland conversion on land surface temperature based on Google Earth and MODIS land data: A case study of the middle and lower reaches of the Yangtze River Basin and its adjacent areas

Caishan ZHAO¹(), Gang ZENG², Lijuan ZHANG¹, Xuezhen ZHANG^3,^*()

1. Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China
2. Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;
3. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received:2018-12-27 Revised:2019-02-09 Online:2019-05-28 Published:2019-05-28
Contact: Xuezhen ZHANG E-mail:zcs0719@163.com;xzzhang@igsnrr.ac.cn
Supported by:
Key Research Program of Frontier Sciences from CAS, No. QYZDB-SSW-DQC005; National Natural Science Foundation of China, No. 41790424; Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, No. KLME1506; Youth Innovation Promotion Association, CAS, No.2015038

摘要/Abstract

摘要：

揭示耕地与林地转换对地表温度的影响对于认识人类活动的气候与环境效应具有重要意义。基于卫星遥感数据的统计分析是揭示土地利用/覆盖变化对地表温度影响的重要手段。但是,在景观破碎度较高地区,混合像元问题成为使用这一技术手段的主要限制性因素,中国南方长江流域尤为典型。为突破这一限制,论文基于Google Earth高清影像,在1 km尺度上辨识了200对耕地与林地纯像元,进而利用MODIS陆地数据产品,对比分析了耕地与林地的地表温度(LST)、叶面积指数(LAI)、地表反照率(Albedo)之差。结果表明：耕地的LST高于林地,白天和夜间温度分别约偏高2.75 ℃和1.15 ℃,并且温差因季节而异,白昼温差呈双峰(分别是5月和10月,温差约3.18 ℃和3.33 ℃),夜间温差为单峰(7月,约2.46 ℃)。同时,温差因地而异,总体表现为西高东低,陕甘交界处的白昼温差最大,年平均约为3.83 ℃;安徽中南部温差最小,约为1.1 ℃。耕地与林地的LST之差主要由蒸散发的差异所致。林地的LAI较大,蒸散发较强,地表向大气的潜热通量较大,用于直接加热地表的感热相对偏少,因而LST相对偏低。上述结果表明近年来长江流域及毗邻地区的耕地转为林地通过增加蒸发产生了一定的致冷效应。

关键词: 耕地与林地转换, 地表温度, 长江中下游地区

Abstract:

Revealing the impact of land conversion on land surface temperature is of great significance for understanding the climatic and environmental effects of human activities. Statistical analysis based on satellite remote sensing data is an important method to reveal the impact of land use/cover change on land surface temperature. However, in areas with high landscape fragmentation, the mixed pixel problem has become the main limiting factor for the use of this technology, especially in the Yangtze River Basin in southern China. In order to break through this limitation, 200 pairs of pure pixels of cropland and woodland were identified on the 1 km scale based on Google Earth high-definition images. Then, the differences of land surface temperature (LST), leaf area index (LAI), and albedo between cropland and woodland were compared and analyzed by MODIS land data products. The results show that the LST of cropland was higher than that of woodland, and the temperature differences between daytime and nighttime were about 2.75 ℃ and 1.15 ℃, respectively. Daytime temperature difference between cropland and woodland showed double peaks (May and October, with temperature differences about 3.18 ℃ and 3.33 ℃), and nighttime temperature difference showed a single peak (July, about 2.46 ℃). Temperature difference varied from place to place. The highest temperature difference was in the west—in the area bordering Shaanxi and Gansu Provinces, annual average temperature difference was about 3.83 ℃; and temperature difference was the smallest between central and southern Anhui Province (about 1.1 ℃). The difference of LST between cropland and woodland is mainly caused by the difference of evapotranspiration. The LAI of woodland is larger, the evapotranspiration is stronger, the latent heat flux from the surface to the atmosphere is higher, and the sensible heat used to directly heat the surface is relatively less, so the LST is relatively low. The above results show that the conversion of cropland to woodland in the Yangtze River Basin and adjacent areas has a cooling effect by increasing evaporation in recent years.

Key words: cropland and woodland conversion, land surface temperature, middle and lower reaches of the Yangtze River Basin

赵彩杉, 曾刚, 张丽娟, 张学珍. 基于Google Earth和MODIS陆地数据的农林地转换对地表温度的影响——以长江中下游及毗邻地区为例[J]. 地理科学进展, 2019, 38(5): 698-708.

Caishan ZHAO, Gang ZENG, Lijuan ZHANG, Xuezhen ZHANG. Effects of cropland and woodland conversion on land surface temperature based on Google Earth and MODIS land data: A case study of the middle and lower reaches of the Yangtze River Basin and its adjacent areas[J]. PROGRESS IN GEOGRAPHY, 2019, 38(5): 698-708.

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地表参数	一级		二级		三级		四级		五级
地表参数	耕地	林地	耕地	林地	耕地	林地	耕地	林地	耕地	林地
LST(昼)	56.43	51.63	22.86	26.21	47.53	45.82	-	-	-	-
LST(夜)	56.95	51.66	23.22	27.05	46.07	44.03	-	-	-	-
LAI	91.95	71.80	1.72	11.43	0	0	6.34	15.76	0	1.00
Albedo	8.22	11.08	44.90	51.38	51.08	42.22	-	-	-	-

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基于Google Earth和MODIS陆地数据的农林地转换对地表温度的影响——以长江中下游及毗邻地区为例

Effects of cropland and woodland conversion on land surface temperature based on Google Earth and MODIS land data: A case study of the middle and lower reaches of the Yangtze River Basin and its adjacent areas

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