Application of Remote Sensing, GIS and Topographical Data for Establishing Soil Erosion Map (9774) |
| Phi Son Nguyen, Anh Tuan Nguyen and Thanh Thuy Nguyen (Viet Nam) |
Dr Phi Son Nguyen
Vice Director
Vietnam Institute of Geodesy and Cartography
Ha Noi
Viet Nam
|
| |
| Corresponding author Dr Phi Son Nguyen (email: sonnguyenphi[at]gmail.com, tel.: +84912308694) |
| |
|
| [ abstract ] [ paper ] [ handouts ] |
|
Published on the web 2019-02-28
Received 2018-10-01 / Accepted 2019-02-01 |
| This paper is one of selection of papers published for the FIG Working Week 2019 in Hanoi, Vietnam and has undergone the FIG Peer Review Process. |
FIG Working Week 2019
ISBN 978-87-92853-90-5 ISSN 2307-4086
https://www.fig.net/resources/proceedings/fig_proceedings/fig2019/index.htm
|
Abstract |
| Soil erosion is estimated using the RUSLE model. The factors of RUSLE are R, K, LS, C and P. The C factor definition is based on the field survey about the detail types of land use for each land unit and the total of months in the year with the highest tree canopy density. The P factor is determined according to the types of support practices, slope, land use. In particular, the types of support practice are defined in the field. The processes to define C and P are time-consuming and costly hence it is difficult to apply in the large areas. In the scope of this paper using VNREDSAT-1 imagery to define C and P to solve those above problems. Combination of the calculated C and P with the R, K, LS factors which are produced from the data of climate, topography, soil, and land use to establish soil loss caused by rainfall in Uong Bi city, Quang Ninh province. This is a product of State-level scientific researching and technological developing project, coded BĐKH.10/16-20 under Program "Science and technology respond to climate change, natural resources, and environment management, phase 2016-2020". |
| |
| Keywords: Cartography; Remote sensing; Remote sensing; Geographic Information System; RUSLE; soil erosion |
