| 不同植被覆盖下土壤水分遥感监测方法的比较研究 |
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| 引用本文： | 武晋雯,孙龙彧,张玉书,冯锐,纪瑞鹏,张淑杰,于文颖.不同植被覆盖下土壤水分遥感监测方法的比较研究[J].中国农学通报,2014,30(23):303-307. |
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| 作者姓名： | 武晋雯 孙龙彧 张玉书 冯锐 纪瑞鹏 张淑杰 于文颖 |
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| 作者单位： | 1. 中国气象局沈阳大气环境研究所2. 沈阳市气象局 |
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| 基金项目： | 中国气象局沈阳大气环境研究所中央级公益性科研院所基本科研项目“基于MODIS数据的辽宁地表温度遥感模型研究”（2012IAE-CMA04）;科技部公益性行业科研专项“东北地区土壤墒情监测预报及其对主要农作物的影响分析”（GYHY201106026）. |
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| 摘 要： | 为了研究不同植被覆盖程度下多种土壤水分遥感监测模型的适用性，提高大面积土壤水分遥感监测的可行性和精度，本研究利用辽宁省52个气象站2008—2010年土壤相对湿度人工观测资料以及对应时段的卫星遥感资料，采用热惯量、能量指数、植被供水指数法进行土壤水分的遥感监测，在低、中、高植被覆盖条件下对比3种定量反演土壤水分的遥感模型，并与人工观测资料建立线性、指数、对数拟合。结果表明：在中低植被覆盖期，热惯量法最适合，与0~20 cm的平均土壤相对湿度的对数相关最好；高植被覆盖期，能量指数法稍好于植被供水指数法，与0~10 cm的平均土壤湿度的对数相关最好。
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| 关 键 词： | 湘西 湘西 旱地植烟土壤 绿肥还土 生态效应 土壤物理性状 |
| 收稿时间： | 2013/12/4 0:00:00 |
| 修稿时间： | 2014/2/19 0:00:00 |
Comparative Study on the Methods of Estimating Soil Moisture by Remote Sensing Under Different Vegetation Cover |
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| Institution: | Wu Jinwen1, Sun Longyu2, Zhang Yushut, Feng Rui1, Ji Ruipeng1, Zhang Shujie1, Yu Wenying1 (1Institute of Atmospheric Environment (IAE), CMA, Shengyang 110016; 2Meteorological Bureau of Shenyang, Shengyang 110168) |
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| Abstract: | In order to research a variety of remote sensing monitoring of soil moisture model under different vegetation coverage, improve the feasibility and accuracy of large area soil moisture monitoring by remote sensing. The author used the 52 meteorological stations in Liaoning Province from 2008 to 2010, the soil relative humidity artificial observation data and the corresponding period of satellite remote sensing data, remote sensing monitoring soil moisture using the thermal inertia index, energy, water and vegetation index, remote sensing model at low, medium, high vegetation cover conditions in contrast to the three quantitative retrieval of soil moisture, and the establishment of linear, exponential, logarithmic and artificial observation data. The results showed that: in the low vegetation coverage period, thermal inertia method was most suitable for soil 0-20 cm, and the average relative humidity for the best; high vegetation coverage period, energy index method was slightly better than water vegetation index method, and the average soil moisture 0-10 cm logarithmic correlation best. |
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| Keywords: | VSWI |
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