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作 者:张俊平[1] 胡月明[1] 刘素萍[2] 刘序[1]
机构地区:[1]华南农业大学信息学院,广东广州510642 [2]中国科学院华南植物园,广东广州510650
出 处:《土壤通报》2009年第3期683-690,共8页Chinese Journal of Soil Science
基 金:国家自然科学基金资助项目(40671145)
摘 要:随着地统计学方法的应用,土壤水分空间变异性研究不断深入。本文首先以地统计学方法指导土壤水分采样数和采样点的确定为出发点,论述了国内外基于地统计学的土壤水分空间变异性的研究现状,并指出了其存在的一些问题;然后,简述了GIS、遥感、神经网络、分形、无线传感器网络等技术和方法在土壤水分空间变异性研究中的研究现状、应用前景及面临的困难。With the application of geostatisties in studying the spatial distribution and analysis of variation characteristics of soil moisture, the related researches have entered a new era. Taking the geostatistics to determine the sampling number and sampling location as the starting point, the status of geostatistics-based research on the soil moisture spatial variability has been reviewed, and its shortcoming was also pointed out. On this basis, the recent progress, application prospect and difficulties of new technology and method including GIS, remote sensing, neural network technology, fractal theory and wireless sensor networks in the research of soil moisture spatial variability were briefly proposed.
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