地理科学进展 ›› 2019, Vol. 38 ›› Issue (5): 698-708.doi: 10.18306/dlkxjz.2019.05.007
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
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:
基金资助:
Caishan ZHAO1(), Gang ZENG2, Lijuan ZHANG1, Xuezhen ZHANG3,*(
)
Received:
2018-12-27
Revised:
2019-02-09
Online:
2019-05-28
Published:
2019-05-28
Contact:
Xuezhen ZHANG
Supported by:
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。
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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