Advances in Remote Sensing
Chairman : Chris Elvidge
Members :
Objectives : Because of the large data volumes and wide distribution, remote sensing scientists are heavily dependent on networks. In this workshop we will explore a series of recent advances in remote sensing.
Target Audience : Remote sensing scientists from academia, commercial, and government sectors.
Expected Number of Participants : 15
Agenda : Session 1:
Chair: Chris Elvidge, NOAA
Session Title: VIIRS data services from NGDC
  • 09:00 - 09:30   Chris Elvidge, NOAA "VIIRS data service for East Asia" - Slides
  • 09:30 - 10:30   Chris Elvidge, NOAA "Detection of lit fishing boats in the Taiwan region with nighttime VIIRS data" - Slides

Session 2:
Chair: Izumi Nagatani, MAFFIN
Session Title: VIIRS data analysis
  • 11:30 - 12:15   Izumi Nagatani, Tohoku University "Air pollution monitoring using Aqua-MODIS and NPP-VIIRS" - Slides
  • 12:15 - 13:00   Chris Elvidge, NOAA "Monitoring of gas flares in East Asia with VIIRS data" - Slides

Session 3:
Chair: Chris Elvidge, NOAA
  • 14:00-15:30   Jin-King LIU, LIDAR Technology Co., Ltd. "Full waveform production for improving DTM quality of Taiwanese National Airborne LiDAR Mapping Program" - Slides
    Airborne LiDAR (Light Detection And Ranging) is a new technique to produce dense and high precision measurements of the topography of the Earth's surface. The pulse rate of the LiDAR sensor can be as high as 500 kHz resulting in a big dataset of raw point clouds with accurate 3D coordinates. The case for conventional discrete echo LiDAR with a point density of 3 to 5 points per square meter on the ground surface is a common practice. Nevertheless, a new sensor with echo signal digitization and subsequent full-waveform records can generate a waveform per pulse. The break through of technology to handle with full waveform LiDAR becomes not only an important issue but also a real need to solve the dense forest problem in tropical/subtropical terrains. In this study, National Airborne LiDAR Mapping Program of Taiwan will be presented as an introduction to the significance of the new technology. The fact that quality of DTM (digital terrain model) is largely depends on the density of ground points will be discussed. Subsequently, airborne data acquisition and filtering processes are discussed with emphasis on the problem of dense forest cover. Little or few laser echoes from the bare ground of forest area can be detected with conventional discrete echo LiDAR. In comparison, full-waveform LiDAR provide valuable additional information on the target's properties. This additional information can be used in the processing task of classifying the measurement data into ground returns and non-ground returns. Classification is a prerequisite for generating high-quality DTMs based on airborne laser scanning data. LIDAR Technology Co., Ltd. has developed a software package for dealing with full waveform datasets in an operation and mass production applications. We compare the penetration rate (a ratio of ground points and all points) of a single survey using full waveform with that of multiple surveys using conventional discrete echo. It is concluded that full waveforms give a higher penetration rate and thus a better quality of DTM.

Seating Arrangement : U Shape
Video Conferencing Facility : Yes
Remarks :