This study explored a combination of hyperspectral and lidar systems for vegetation mapping in the Florida Everglades. A framework was designed to integrate two remotely sensed datasets and four data processing techniques. Lidar elevation and intensity features were extracted from the original point cloud data to avoid the errors and uncertainties in the raster-based lidar methods. Lidar signif...

This paper describes different mathematical algorithms used in the determination of mixed layer height (MLH) from the laser radar (lidar) signals. These methods are successfully applied to the indigenously developed portable lidar signals for retrieval of the depth of pollutants mixing in the lower atmosphere. The study also includes intercomparison between the methods. KeywordsPortable lidar, ...

Mounting bias is the major error source of Airborne LIDAR system. In this paper, an automated calibration method for estimating LIDAR system mounting parameters is introduced. LIDAR direct geo-referencing model is used to calculate systematic errors. Due to LIDAR footprints discretely sampled, the real corresponding laser points are hardly existence among different strips. The traditional corre...

In order to reduce random errors of the lidar signal inversion, a low-pass parabolic fast Fourier transform filter (PFFTF) was introduced for noise elimination. A compact airborne Raman lidar system was studied, which applied PFFTF to process lidar signals. Mathematics and simulations of PFFTF along with low pass filters, sliding mean filter (SMF), median filter (MF), empirical mode decompositi...

In: Proceedings of the Workshop on Multimodal Corpora: Computer vision and language processing (MMC-2016), pages 1–4. Workshop held: 24 May 2016, collocated with LREC 2016, Portorož, Slovenia. Proceedings available at: http://www.lrec-conf.org/proceedings/lrec2016/workshops/ LREC2016Workshop-MCC-2016-proceedings.pdf An untested assumption behind the crowdsourced descriptions of the images in th...

The increasing efficiency and affordability of modern spatial acquisition systems, such as LiDAR, have provided reliable alternative sources of control data for image georeferencing. Indirect georeferencing using LiDAR control features to derive the exterior orientation parameters (EOP) allows for a straight-forward integration of LiDAR and photogrammetric data which can be used, for example, f...

In this paper we describe an automatic tool for the pre-processing of aerosol lidar data called ELPP (EARLINET Lidar Pre-Processor). It is one of two calculus modules of the EARLINET Single Calculus Chain (SCC), the automatic tool for the analysis of EARLINET data. ELPP is an open source module that executes instrumental corrections and data handling of the raw lidar signals, making the lidar d...