Abstract
Abstract. Soil moisture is one of the important hydrological elements. Obtaining soil moisture accurately and effectively is of great significance for water resource management in irrigation area. During the process of soil moisture content retrieval with multiremote sensing data, multi- remote sensing data always brings multi-spatial scale problems which results in inconformity of soil moisture content retrieved by remote sensing in different spatial scale. In addition, agricultural water use management has suitable spatial scale of soil moisture information so as to satisfy the demands of dynamic management of water use and water demand in certain unit. We have proposed to use land parcel unit as the minimum unit to do soil moisture content research in agricultural water using area, according to soil characteristics, vegetation coverage characteristics in underlying layer, and hydrological characteristic into the basis of study unit division. We have proposed division method of land parcel units. Based on multi thermal infrared and near infrared remote sensing data, we calculate the ndvi and tvdi index and make a statistical model between the tvdi index and soil moisture of ground monitoring station. Then we move forward to study soil moisture remote sensing retrieval method on land parcel unit scale. And the method has been applied in Hetao irrigation area. Results show that compared with pixel scale the soil moisture content in land parcel unit scale has displayed stronger correlation with true value. Hence, remote sensing retrieval method of soil moisture content in land parcel unit scale has shown good applicability in Hetao irrigation area. We converted the research unit into the scale of land parcel unit. Using the land parcel units with unified crops and soil attributes as the research units more complies with the characteristics of agricultural water areas, avoids the problems such as decomposition of mixed pixels and excessive dependence on high-resolution data caused by the research units of pixels, and doesn’t involve compromises in the spatial scale and simulating precision like the grid simulation. When the application needs are met, the production efficiency of products can also be improved at a certain degree.
Highlights
Remote sensing which owns the ability to observe the underlying surface in an extensive, timely and fast way is an important means to acquire the data about regional soil moisture
Spatial resolution differences are obvious, and fine water resource management has appropriate spatial scale demand for soil moisture data, which results in the problem of transforming multisource remote sensing observation data to suitable spatial scale meeting agricultural water management demand
To gain continuous and stable observation data of regional soil moisture, spatial scale transformation of multisource observation data oriented to suitable spatial scale is a problem to be solved urgently
Summary
Remote sensing which owns the ability to observe the underlying surface in an extensive, timely and fast way is an important means to acquire the data about regional soil moisture. Multisource remote sensing combination observation has important significance for continuous and stable monitoring of key hydrologic features in the irrigation area and contributes to fine agricultural water management. Spatial resolution differences are obvious, and fine water resource management has appropriate spatial scale demand for soil moisture data, which results in the problem of transforming multisource remote sensing observation data to suitable spatial scale meeting agricultural water management demand. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3, 2018 ISPRS TC III Mid-term Symposium “Developments, Technologies and Applications in Remote Sensing”, 7–10 May, Beijing, China field land of soil, vegetation and hydrological features as the minimum research unit of soil moisture in the agricultural water. Soil moisture gained from remote sensing inversion and ground observation is transformed to land scale, and Hetao Irrigation Area is chosen as the research area foe method application. The results are analyzed, and the rationality of results is verified
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