Qu, Y.H., Zhu, Y.Q., Han, W.C., Wang, J.D., & Ma, M.G. (2014). Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(2), 431-444.
|Type Of Reference||JOUR|
|Title||Crop Leaf Area Index Observations With a Wireless Sensor Network and Its Potential for Validating Remote Sensing Products|
|Authors||Yonghua Qu| Yeqing Zhu| Wenchao Han| Jindi Wang| Mingguo Ma||
|Secondary Title||Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of|
|Abstract||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 ×4 km<sup>2</sup> 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.|
|Keywords||crops| vegetation mapping| wireless sensor networks| AD 2012 06 25 to 08 24| Advanced Spaceborne Thermal Emission and Reflection radiometer| Heihe watershed| LAI-2000| MODIS LAI| Moderate Resolution Imaging Spectroradiometer| automatic measuring system| corn LAI| crop leaf area index observations| daily crop LAI growth trajectory| ground LAINet LAI| low-energy consumption| northwest China| remote sensing product validation| scaled-up ASTER LAI| spatial aggregation values| wireless sensor network| Agriculture| MODIS| Remote sensing| Sea measurements| Time measurement| Wireless sensor networks| Leaf area index (LAI)| remote sensing| validation| wireless sensor network (WSN)||
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