Mapping 10 Years of Land Cover Change in the Mekong Delta (10282) |
| Hoang Trung Ta (Viet Nam) |
Mr Hoang Trung Ta
Technician
Vietnam Department of Survey,
Mapping and Geoinformation
Hanoi
Viet Nam
|
| |
| Corresponding author Mr Hoang Trung Ta (email: tahoangtrung[at]gmail.com) |
| |
|
| [ abstract ] [ paper ] [ handouts ] |
|
Published on the web 2020-02-28
Received 2019-10-01 / Accepted 2020-02-03 |
| This paper is one of selection of papers published for the FIG Working Week 2020 in Amsterdam, the Netherlands and has undergone the FIG Peer Review Process. |
FIG Working Week 2020
ISBN 978-87-92853-93-6 ISSN 2307-4086
https://fig.net/resources/proceedings/fig_proceedings/fig2020/index.htm
|
Abstract |
| Land cover maps have been increasingly used in many global or regional environmental studies as an important information source. To meet the demand, a number of land cover products have been published, but the coarse spatial resolution is considered as a challenge of the current large area land cover maps. Thus, the purpose of this study is to create 10-meter spatial resolution land cover map of the Mekong Delta in 2007 and 2017, respectively. The maps then are analyzed to find out the changes in land cover between these two years.
In this study, Landsat 5 Thematic Mapper (TM), Landsat 8 Operational Land Imager (OLI), Sentinel-2, AVNIR-2, ALOS PALSAR and PALSAR 2 mosaic, ALOS Global Digital Surface Model were employed to produce land cover map of the region by using Kernel Density Estimation classifier. Other ancillary data sources such as Open Street Map, Vietnam Geographical database were used for information supplement. In order to make and validating the maps, 60,000 reference data points were created based on the field GPS photos as well as visual interpretation on Google Earth images.
The overall accuracy of the maps is 82% and 84% in 2007 and 2017 respectively. The maps reveal the expansion trend of orchard and the urban area between the two periods whereas the decreasing in the barren area is shown. The result also demonstrates the potentiality of using multi-temporal, multi-sensor satellite data in making the land cover map in the large area.
|
| |
| Keywords: Remote sensing; Land management; Low cost technology; land cover change, KDE |
