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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Crop Leaf Area Index Observations With a Wireless Sensor Network and Its Potential for Validating Remote Sensing Products
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Crop Leaf Area Index Observations With a Wireless Sensor Network and Its Potential for Validating Remote Sensing Products

机译：无线传感器网络对作物叶面积指数的观察及其对遥感产品的验证潜力

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摘要

The collection of ground measurements for validating remotely sensed crop leaf area index (LAI) is labor and time intensive. This paper presents an automatic measuring system that was designed based on a wireless sensor network (WSN). The corn LAI was continuously observed from June 25 to August 24, 2012. Approximately, 42 in situ WSN measurement nodes were used in a $4 times 4~hbox{km}^2$ area in the Heihe watershed of northwest China. The data were analyzed in three ways: 1) a comparison with LAI-2000, 2) a daily and 5-day aggregated time series analysis, and 3) a comparison with a Moderate Resolution Imaging Spectroradiometer (MODIS) LAI using both a ground LAINet LAI and a scaled-up LAI through inversion of Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) data. The preliminary results indicated that the measured LAI values from the LAINet were correlated with the values derived from LAI-2000 (R2 from 0.27 to 0.96 with an average of 0.42). When compared with the daily crop LAI growth trajectory, the performance of the measurement system was improved by using the data that were aggregated over a 5-day window. When compared with MODIS LAI, we found that the spatial aggregation values of the ground LAINet observations and the scaled-up ASTER LAI were identical or similar to the MODIS LAI values over time. With its low-cost and low-energy consumption, the proposed WSN observation system is a promising method for collecting ground crop LAI in flexible time and space for validating the remote sensing land products.
机译：收集用于验证遥感作物叶面积指数（LAI）的地面测量数据非常费时费力。本文提出了一种基于无线传感器网络（WSN）设计的自动测量系统。从2012年6月25日至8月24日连续观测玉米LAI。在中国西北黑河流域的4×hbox {km} ^ 2 $区域中，使用了42个原位WSN测量节点。使用三种方式分析数据：1）与LAI-2000进行比较，2）每天和5天的汇总时间序列分析，以及3）与地面分辨率LAINet一起使用的中分辨率成像光谱仪（MODIS）LAI进行比较通过先进的星载热发射和反射辐射计（ASTER）数据的反演，可以进行LAI和按比例放大的LAI。初步结果表明，来自LAINet的LAI测量值与LAI-2000得出的值相关（R2从0.27到0.96，平均值为0.42）。当与农作物的每日LAI生长轨迹进行比较时，通过使用在5天时间范围内汇总的数据，可以提高测量系统的性能。当与MODIS LAI进行比较时，我们发现地面LAINet观测值和按比例放大的ASTER LAI的空间聚集值随时间推移与MODIS LAI值相同或相似。所提出的无线传感器网络观测系统成本低廉，能耗低，是一种有希望的方法，可以在灵活的时间和空间内收集地面农作物LAI，以验证遥感土地产品。

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