Institute of Atmospheric Pollution Research (IIA), CNR (National Research Council of Italy), Research Area of Rome 1 Via Salaria Km 29.300, Monterotondo 00016, Rome, Italy.
Institute of Atmospheric Pollution Research (IIA), CNR (National Research Council of Italy), Research Area of Rome 1 Via Salaria Km 29.300, Monterotondo 00016, Rome, Italy.
Sci Total Environ. 2017 Apr 15;584-585:1333-1348. doi: 10.1016/j.scitotenv.2017.01.033. Epub 2017 Jan 17.
This paper describes a methodology to perform chemical analyses in landfill areas by integrating multisource geomatic data. We used a top-down approach to identify Environmental Point of Interest (EPI) based on very high-resolution satellite data (Pleiades and WorldView 2) and on in situ thermal and photogrammetric surveys. Change detection techniques and geostatistical analysis supported the chemical survey, undertaken using an accumulation chamber and an RIIA, an unmanned ground vehicle developed by CNR IIA, equipped with a multiparameter sensor platform for environmental monitoring. Such an approach improves site characterization, identifying the key environmental points of interest where it is necessary to perform detailed chemical analyses.
本文描述了一种通过整合多源地理空间数据来进行垃圾填埋场化学分析的方法。我们采用自顶向下的方法，基于超高分辨率卫星数据（Pleiades 和 WorldView 2）以及现场热和摄影测量调查，来确定环境兴趣点（EPI）。变化检测技术和地质统计学分析支持了使用积累室和 RIIA 进行的化学调查，RIIA 是 CNR IIA 开发的一种无人地面车辆，配备了用于环境监测的多参数传感器平台。这种方法提高了场地特征描述的准确性，确定了需要进行详细化学分析的关键环境兴趣点。
