Numerical Model for Haze Detection (Multiple Scattering Theory Approach)
| dc.contributor | Universiti Sains Malaysia | |
| dc.contributor.author | Joseph Boon Han Ooi | |
| dc.date.accessioned | 2023-04-04T00:46:04Z | |
| dc.date.available | 2023-04-04T00:46:04Z | |
| dc.date.issued | 3/14/2023 | |
| dc.description | Sample code to conduct numerical assessment of haze detection model. These codes are written using Python programming language and follow the numerical scheme described in Section 3.2 of the paper. LIDAR parameters used in this sample code: laser wavelength: 808 nm, RFOV: 10 mrad. Sequence of operation and description: 1. data_generator.py - generates data for given LIDAR parameters and exports data as separate .csv files 2. data_analysis.py - extracts data from .csv files for analysis according to numerical model scheme Steps to reproduce Python script is written using Python 3.7+. Required Python packages that may require prior installation are: NumPy, SciPy, Matplotlib, csv | |
| dc.identifier.doi | 10.17632/6hjwh5fhpx.1 | |
| dc.identifier.uri | https://opendata.usm.my/handle/123456789/74592 | |
| dc.rights | CC0 1.0 Universal | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
| dc.subject | Numerical Analysis, Computer Simulation, Lidar | |
| dc.title | Numerical Model for Haze Detection (Multiple Scattering Theory Approach) | |
| dc.type | Dataset |
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