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Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system

机译:评估基于每月运行遥感的农作物监测系统的合适观测条件

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Cloud cover is the main issue to consider when remote sensing images are used to identify, map and monitor croplands, especially over the summer season (October to March in Brazi). This paper aims at evaluating clear sky conditions over four Brazilian states (São Paulo, Paraná, Santa Catarina, and Rio Grande do Sul) to assess suitable observation conditions for a monthly basis operational crop monitoring system. Cloudiness was analyzed using MODIS Cloud Mask product (MOD35), which presents four labels for cloud cover status: cloudy, uncertainty, probably clear and confident clear. R software was used to compute average values of clear sky with a confidence interval of 95% for each month between July 1, 2000 and June 30, 2013. Results showed significant differences within and between the four tested states. Moreover, the period from November to March presented 50% less clear sky areas when compared to April to October.
机译:在使用遥感图像来识别,测绘和监测耕地时,尤其是在夏季(巴西的10月至3月),云量是要考虑的主要问题。本文旨在评估巴西四个州(圣保罗,巴拉那州,圣卡塔琳娜州和南里奥格兰德州)的晴空条件,以评估适合每月运行的作物监测系统的观测条件。使用MODIS云遮罩产品(MOD35)分析了云量,该产品提供了四个云量状态标签:云量,不确定性,可能清晰和自信清晰。 R软件用于计算2000年7月1日至2013年6月30日之间每个月的晴空平均值,其置信区间为95%。结果显示,四个测试状态之间和之间存在显着差异。此外,与4月至10月相比,11月至3月的晴朗天空面积减少了50%。

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