Hasi Bagan
Biographic Data
| ID | 7997249 |
|---|---|
| NAME | Hasi Bagan |
| GIVEN NAMES | Hasi |
| FAMILY NAME | Bagan |
| SIGNATURE | BAGÁN H |
| AFFILIATIONS | National Institute for Environmental Studies |
| ORCID | 0000-0002-0471-7135 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Spatiotemporal analysis of deforestation in the Chapare region of Bolivia using LANDSAT images
The purpose of this study is to quantify (a) spatiotemporal deforestation patterns, and (b) the relationships between changes in the main land‐cover types in the Chapare region of Bolivia. We applied subspace classification methods to LANDSAT data from 1986, 1999, and 2018 and used grid cells at scales of 150, 300, 600, and 900 m to measure deforestation trajectories. The 150 m grids provided better detail to determine deforestation trajectories …
Assessing nighttime lights for mapping the urban areas of 50 cities across the globe
Nighttime data from the Defense Meteorological Satellite Program Operational Linescan System have been widely used to map urban/built-up areas (hereafter referred to as “built-up area”), but to date there has not been a geographically comprehensive evaluation of the effectiveness of using nighttime lights data to map urban areas. We created accurate, convenient, and scalable grid cells based on Defense Meteorological Satellite Program/Operational…
Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells
Global urban expansion has created incentives to convert green spaces to urban/built-up area. Therefore, understanding the distribution and dynamics of the land-cover changes in cities is essential for better understanding of the cities’ fundamental characteristics and processes, and of the impact of changing land-cover on potential carbon storage. We present a grid square approach using multi-temporal Landsat data from around 1985–2010 to monito…
Assessment of stable light derived from DMSP/OLS night‐time imagery
A stable light image for south‐eastern Asia was extracted from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) night‐time imagery for 1999. The accuracy assessment of the stable light image has been completed using two methods: a reference data‐based comparison and a stratified random sampling method. The stable light image was compared with the conventional stable light image for 1999 and the Landsat ETM+ 20…
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Assessment of stable light derived from DMSP/OLS night‐time imagery
A stable light image for south‐eastern Asia was extracted from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) night‐time imagery for 1999. The accuracy assessment of the stable light image has been completed using two methods: a reference data‐based comparison and a stratified random sampling method. The stable light image was compared with the conventional stable light image for 1999 and the Landsat ETM+ 20…
Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells
Global urban expansion has created incentives to convert green spaces to urban/built-up area. Therefore, understanding the distribution and dynamics of the land-cover changes in cities is essential for better understanding of the cities’ fundamental characteristics and processes, and of the impact of changing land-cover on potential carbon storage. We present a grid square approach using multi-temporal Landsat data from around 1985–2010 to monito…
Assessing nighttime lights for mapping the urban areas of 50 cities across the globe
Nighttime data from the Defense Meteorological Satellite Program Operational Linescan System have been widely used to map urban/built-up areas (hereafter referred to as “built-up area”), but to date there has not been a geographically comprehensive evaluation of the effectiveness of using nighttime lights data to map urban areas. We created accurate, convenient, and scalable grid cells based on Defense Meteorological Satellite Program/Operational…
Spatiotemporal analysis of deforestation in the Chapare region of Bolivia using LANDSAT images
The purpose of this study is to quantify (a) spatiotemporal deforestation patterns, and (b) the relationships between changes in the main land‐cover types in the Chapare region of Bolivia. We applied subspace classification methods to LANDSAT data from 1986, 1999, and 2018 and used grid cells at scales of 150, 300, 600, and 900 m to measure deforestation trajectories. The 150 m grids provided better detail to determine deforestation trajectories …
Environmental Science (4 works) · Geography (4 works) · Remote sensing (3 works) · Defense Meteorological Satellite Program (2 works) · Ecology (2 works) · Grassland (2 works) · Impact of Light on Environment and Health (2 works) · Land cover (2 works) · Land use (2 works) · Land Use and Ecosystem Services (2 works)