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首页> 外文会议>ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics >LOCAL ALGORITHM FOR MONITORING TOTAL SUSPENDED SEDIMENTS IN MICRO-WATERSHEDS USIN DRONES AND REMOTE SENSING APPLICATIONS. CASE STUDY: TEUSACA RIVER, LA CALERA, COLOMBIA
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LOCAL ALGORITHM FOR MONITORING TOTAL SUSPENDED SEDIMENTS IN MICRO-WATERSHEDS USIN DRONES AND REMOTE SENSING APPLICATIONS. CASE STUDY: TEUSACA RIVER, LA CALERA, COLOMBIA

机译：使用无人机和遥感应用监测微流域中总悬浮沉积物的本地算法。案例研究：Teusaca River，La Calera，哥伦比亚

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An empirical relationship of Total Suspended Sediments (TSS) concentrations and reflectance values obtained with Drones' aerial photos and processed using remote sensing tools was set up as the main objective of this research. A local mathematic algorithm for the micro-watershed of the Teusaca River at La Calera, Colombia, was developed based on the computing of four component of bands from consumed-grade cameras obtaining from each their corresponding reflectance values from procedures for correcting digital camera imagery and using statistical analysis for study the fit and RMSE of 25 regressions. The assessment was characterized by the comparison of reflectance values and 34 in-situ data measurements concentrations between 1.6 and 33 mg L~(-1) taken from the superficial layer of the river in two campaigns. A large data set of empirical and referenced algorithm from literature were used to evaluate the accuracy and precision of the relationship. For estimation of TSS, a higher accuracy was achieved using the Tassan's algorithm with the BAND X/ BANDX ratio. The correlation coefficient with R~2=X demonstrate the feasibility of use remote sensed data with consumed-grade cameras as an effective tool for a frequent monitoring and controlling of water quality parameters such as Total Suspended Solids of watersheds, these being the most vulnerable and less compliance with environmental regulations.
机译：建立了使用无人机照片和使用遥感工具加工获得的总悬浮沉积物（TSS）浓度和反射值的经验关系是本研究的主要目标。哥伦比亚La Calera的Teusaca河的微流域数学算法是基于从校正数码相机图像的过程中获得的消耗级摄像机的四个分量的计算和使用统计分析来研究25回归的拟合和RMSE。该评估，其特征在于反射率值的比较和34在原位测量的数据从河的表面层在两个广告活动采取1.6和33毫克L〜（-1）之间的浓度。来自文献的大型经验和引用算法的大数据集用于评估关系的准确性和精度。为了估计TSS，使用Tassan的乐队X / Bandx比率实现更高的精度。具有R〜2 = x的相关系数展示了使用级别摄像机使用远程感测数据的可行性作为频繁监测和控制水质参数的有效工具，例如流域总悬浮的固体，这些是最脆弱的和最脆弱的少遵守环境法规。

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