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黄河流域土壤水分遥感估算
引用本文:杨胜天,刘昌明,王鹏新. 黄河流域土壤水分遥感估算[J]. 地理科学进展, 2003, 22(5): 454-462. DOI: 10.11820/dlkxjz.2003.05.003
作者姓名:杨胜天  刘昌明  王鹏新
作者单位:1. 北京师范大学环境科学研究所,100875;2. 中国科学院地理科学与资源研究所,北京100877
基金项目:国家重点基础研究发展规划项目(G1999043601)
摘    要:利用1982~1998年AVHRR的pathfinder遥感数据,以及相同时段黄河流域29个农业气象观测站土壤水分观测资料和263个气象台站降水、蒸发资料,建立基于遥感条件温度植被指数和气象观测数据基础上的黄河流域厚层土体(0~1m)土壤水分遥感估算方法,计算出1982~1998年黄河全流域1m土体各层土壤水分。计算结果检验表明该方法适合进行大区域、连续时间段、厚层土体土壤水分估算,并为黄河流域水循环研究提供了丰富的土壤水分数据。

关 键 词:黄河  水循环  土壤水分  遥感  
文章编号:1007-6301(2003)05-0454-09
收稿时间:2003-06-01
修稿时间:2003-08-01

The Method of Calculating Soil Water in Yellow River Basin by Remote Sensing
YANG Shengtian,LIU Changming,WANG Pengxing. The Method of Calculating Soil Water in Yellow River Basin by Remote Sensing[J]. Progress in Geography, 2003, 22(5): 454-462. DOI: 10.11820/dlkxjz.2003.05.003
Authors:YANG Shengtian  LIU Changming  WANG Pengxing
Affiliation:1. The Institute of Environmental Sciences. Beijing Normal University 100875;
2. Institute of Geographical Sciences and Natural Resources Research,CAS 100877;
3. The Department of Environment and Resource,Beijing Normal University 100875
Abstract:Soil water is a type of water resource. Although there are many methods to monitor the soil water in field, to effectually obtain data of the soil water in macro scale region is a difficult problem when evaluating water cycle. Yellow River is the second river in China, which covers an area of 752 443km 2, so it is important for the water management to calculate the soil water. On the basis of AVHRR-pathfinder data, we employed the Vegetation-Temperature Condition Index (VTCI) to monitor the land surface condition. After checking up the remote sensing data with soil water in the field, we found that VTCI is sensible to the soil water in top soil in Yellow River Basin, which agrees with other achievement. Besides, the data of soil water in field expresses obvious relation of soil water between up layer soil and down layer soil. Therefore, we set up a model to calculate soil water in soil profile (0~1m) in Yellow River Basin by combining meteorological information and remote sensing data. The data used in the research includes AVHRR-pathfinder data during 1982~1998 and soil water, precipitation and evaporation information, which were respectively monitored by 29 agriculture weather stations and 263 national weather stations. Finally, the calculated soil water was compared with survey data and checked up by the method of water balance, and the results are satisfied. It is concluded that our method can be applied in surveying soil water for soil profile in macro scale region during long time and the calculated soil water can be supplied to the research of water cycle in Yellow River Basin.
Keywords:Yellow River  soil water  remote sensing  water cycle
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