Feng-Chi Hsu
Biographic Data
| ID | 7992821 |
|---|---|
| NAME | Feng-Chi Hsu |
| GIVEN NAMES | Feng-Chi |
| FAMILY NAME | Hsu |
| SIGNATURE | HSU F |
| AFFILIATIONS | Cooperative Institute for Research in Environmental Sciences |
| ORCID | 0000-0002-8383-1912 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Annual Time Series of Global Viirs Nighttime Lights Derived from Monthly Averages
A consistently processed annual global nighttime lights time series (2012–2019) was produced using monthly cloud-free radiance averages made from low light imaging day/night band (DNB) data collected by the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS). The processing steps are modified from the original methods developed to produce annual nighttime lights products from nightly data. Only two years of VIIRS nighttime lights (VNL) we…
Time series analysis of Viirs-DNB nighttime lights imagery for change detection in urban areas
Viirs night-time lights
The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over comparable data collected for 40 years by the DMSP Operational Linescan System. One of the prominent features of DNB data is the detection of electric lighting present on the Earth’s surface. Most of these lights are from human settlements. VIIRS collects source data that could be used to genera…
Long-wave infrared identification of smoldering peat fires in Indonesia with nighttime Landsat data
Smoldering peat fires in Indonesia are responsible for large quantities of trace gas and particulate emissions. However, to date no satellite remote sensing technique has been demonstrated for the identification of smoldering peat fires. Fires have two distinct combustion phases: a high temperature flaming and low temperature smoldering phases. The flaming phase temperature is approximately twice that of the smoldering phase. This temperature dif…
Why Viirs data are superior to DMSP for mapping nighttime lights
For more than forty years the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has been the only satellite system collecting global low-light imaging data. A series of twenty-four DMSP satellites have collected low-light imaging data. The design of the OLS has not changed significantly since satellite F-4 flew in the late 1970’s and OLS data have relatively coarse spatial resolution, limited dynamic…
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Why Viirs data are superior to DMSP for mapping nighttime lights
For more than forty years the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has been the only satellite system collecting global low-light imaging data. A series of twenty-four DMSP satellites have collected low-light imaging data. The design of the OLS has not changed significantly since satellite F-4 flew in the late 1970’s and OLS data have relatively coarse spatial resolution, limited dynamic…
Long-wave infrared identification of smoldering peat fires in Indonesia with nighttime Landsat data
Smoldering peat fires in Indonesia are responsible for large quantities of trace gas and particulate emissions. However, to date no satellite remote sensing technique has been demonstrated for the identification of smoldering peat fires. Fires have two distinct combustion phases: a high temperature flaming and low temperature smoldering phases. The flaming phase temperature is approximately twice that of the smoldering phase. This temperature dif…
Viirs night-time lights
The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over comparable data collected for 40 years by the DMSP Operational Linescan System. One of the prominent features of DNB data is the detection of electric lighting present on the Earth’s surface. Most of these lights are from human settlements. VIIRS collects source data that could be used to genera…
Time series analysis of Viirs-DNB nighttime lights imagery for change detection in urban areas
Annual Time Series of Global Viirs Nighttime Lights Derived from Monthly Averages
A consistently processed annual global nighttime lights time series (2012–2019) was produced using monthly cloud-free radiance averages made from low light imaging day/night band (DNB) data collected by the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS). The processing steps are modified from the original methods developed to produce annual nighttime lights products from nightly data. Only two years of VIIRS nighttime lights (VNL) we…
Environmental Science (5 works) · Geography (5 works) · Meteorology (5 works) · Remote sensing (5 works) · Impact of Light on Environment and Health (4 works) · Geology (3 works) · Geology (2 works) · Physics (2 works) · Radiance (2 works) · Visible Infrared Imaging Radiometer Suite (2 works)