一种利用双时相ASAR数据监测土壤湿度的方法  被引量:1

A Method of Soil Moisture Monitoring with Bi-temporal ASAR Imagery

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作  者:游代安[1,2] 赵少华[1,2] 史园莉[1,2] 姚云军[3] 

机构地区:[1]环境保护部卫星环境应用中心,北京100094 [2]国家环境保护卫星遥感重点实验室,北京100101 [3]北京师范大学地理学与遥感科学学院,北京100875

出  处:《环境与可持续发展》2015年第6期103-107,共5页Environment and Sustainable Development

基  金:国家自然科学青年基金项目(41101313;41201331);高分辨率对地观测系统重大专项"环境保护遥感动态监测信息服务系统"一期项目(05-Y30B02-9001-13/15-13)等资助

摘  要:在OSUП(2002)半经验模型的基础上,我们推演得到了一个适合较广粗糙度范围内监测裸地土壤湿度的新模型,该模型不依赖于地面先验知识,只依靠两景相邻时相HH/VV双极化影像的同极化比和不同的雷达入射角即可获知地表土壤湿度和粗糙度。根据满足模型需求的影像范围,研究选择北京昌平区的小汤山镇和顺义区的赵全营镇反演土壤湿度。然而,由于缺乏对应的地面试验验证数据,所以仅根据理论上的推导,对土壤湿度分布范围的百分比进行分析研究。结合土地利用类型及历史资料等发现反演结果基本符合实际情况,从而介绍一种依靠多极化、多时相雷达影像的手段监测土壤湿度的新方法,为未来土壤湿度的遥感监测提供一个思路。A available model derived from semi -empirical scatter model of OSU H (2002) was applied to retrieve bare surface soil moisture over wide roughness range. The model does not need ground prior information but only depend on two ASAR images, which the polarization should be HH - VV bi - polarized mode so as to calculate co - polarization ratio, which was the core of this model. Based on the available ASAR range meet model requirement, we chose two images of Apr 12, 2005 and Apr 13, 2005 to estimate soil water content of Xiaotangshan town in Changping district and Zhaoquanying town in Shunyi district, Beijing. However, no ground truth data to validate it, while just quantitative analysis was performed in term of distributed range of soil moisture, combined with historical investigation information, the retrieval result was agree with investigation, which can be effectively reflect the spatial distribution of soil water content. Therefore, this paper introduces a path for soil moisture estimation using multi - polarization and multi - temporal techniques.

关 键 词:土壤湿度 高级合成孔径雷达 粗糙度 后向散射系数 

分 类 号:S152.7[农业科学—土壤学] S127[农业科学—农业基础科学]

 

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