Current and potential uses of optical remote sensing in rice-based irrigation systems: a review
Current and potential uses of optical remote sensing in rice-based irrigation systems: a review
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DOI：
10.1071/ar03149
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发表时间：
2004-03
影响因子：
1.9
通讯作者：
T. V. Niel;T. McVicar
中科院分区：
文献类型：
--
作者：
T. V. Niel;T. McVicar
对于像灌溉水稻这样的高用水量种植系统，生产主食来源和维持经济的积极成果往往是以高资源使用和环境退化为代价的。地理空间技术的进步将在提高生产力和资源利用效率以及减少环境退化方面发挥越来越重要的作用，无论是在世界范围内还是在澳大利亚境内。本文以澳大利亚水稻种植区为例，综述了遥感技术的应用现状。具体而言，我们综述了遥感在作物识别、面积测量、区域产量预测和农场生产力监测与管理方面的应用。在此背景下，考虑到分类算法和精度评估、高光谱遥感、位置和区域精度、线性混合建模、甲烷（CH4）排放、产量预测技术和精准农业。我们还讨论了利用遥感评估作物水分利用的潜力，这在以水稻为基础的灌溉系统中很少受到关注，尽管它在灌溉地区的土地和水管理规划中变得越来越重要。因此，特别关注遥感在地表能量平衡、地表温度与遥感植被指数之间的关系以及水分利用效率方面的作用。对其他地理空间问题，即地理信息系统和空间内插进行了一般性讨论，因为使用遥感的地球科学分析往往与其他基于空间的技术和地理科学的各个方面内在地结合在一起。
For high water usage cropping systems such as irrigated rice, the positive outcomes of producing a staple food source and sustaining the economy often come at the cost of high resource use and environmental degradation. Advances in geospatial technology will play an increasingly important role in raising productivity and resource use efficiency and reducing environmental degradation, both worldwide and within Australia. This paper reviews the current use of one of these technologies, remote sensing, with the rice-growing region in Australia as a case study. Specifically, we review applications of remote sensing in crop identification, area measurement, regional yield forecasting, and on-farm productivity monitoring and management. Within this context, consideration is given to classification algorithms and accuracy assessment, hyperspectral remote sensing, positional and areal accuracy, linear mixture modelling, methane (CH4) emissions, yield forecasting techniques, and precision agriculture. We also discuss the potential for using remote sensing to assess crop water use, which has received little attention in rice-based irrigation systems, even though it is becoming increasingly important in land and water management planning for irrigation areas. Accordingly, special attention is given to the role of remote sensing with respect to the surface energy balance, the relationship between surface temperature and remotely sensed vegetation indices, and water use efficiency. A general discussion of other geospatial issues, namely geographic information systems and spatial interpolation, is provided because earth-science analysis using remote sensing is often intrinsically integrated with other spatially based technologies and aspects of geographical science.