利用LANDSAT ETM+进行稻田测量的改进方法

Yang Liu
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引用次数: 2

摘要

农田测量和作物产量是精准农业的两个主要科学方面。自20世纪50年代以来,中国黑龙江省的耕地开发得到了迅速发展。同时,自20世纪90年代以来,旱田改水田已成趋势。因此,需要对新开发和扩大的水田面积提供准确的最新信息。这项研究的目的是发展一种业务方法并改进评估水田面积的现有方法,以促进基于遥感的算法在县一级测量水田面积。与其他传感器如中分辨率成像光谱仪(MODIS)相比,LANDSAT ETM+提供了更好的空间分辨率。利用4粒LANDSAT ETM+数据进行研究,介绍了数据处理方法及其在水田面积分类中的作用。本研究使用的软件工具是ENVI和ArcGIS。结果表明,该方法可用于LANDSAT ETM+的县级分类,测量精度约为经验证的地面真值数据的87%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved methodology for paddy field measurement using LANDSAT ETM+
Farmland measurements and crop yields are two main scientific aspects of precision agriculture. Farmland development at Heilongjiang Province, China has been rapidly expanding since 1950's. Meanwhile, there has been a trend that dry farmlands are converted to paddy field since 1990's. Therefore, there is a demand for accurate updated information on the newly developed and expanded paddy field area. The objective of this research was to develop an operational approach and improve the existing methods for assessing paddy field area that would facilitate remote sensing based algorithms for measuring paddy field areas at county-level. LANDSAT ETM+ offers better spatial resolution over other sensors such as Moderate Resolution Imaging Spectroradiometer (MODIS). Four granules of LANDSAT ETM+ dataset were acquired for the study, and this research describes the methodologies used for processing the data and their functions in developing the classification of paddy field area. The software tools used for this research are ENVI and ArcGIS. The results suggest the methods that can be used for operational application of LANDSAT ETM+ for classification at county-level, and the measurement accuracy was approximately 87% of the validated ground truth data.
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