Share Email Print

Proceedings Paper

The São Francisco floodplain project: determination of the floodplain terrain using water level data and multi-source satellite imagery
Author(s): Philippe Maillard; Marília F. Gomes; Évelyn M. Pôssa; Lília M. Oliveira; Ramille Araújo Soares de Paula; Jessica Carvalho Vianna Có
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This article describes the “Sao Francisco Floodplain Project” (SFFPP) aiming at defining a Mean Ordinary Flood Line (MOFL) on the banks of the Sao Francisco River, in East Central Brazil. Land inserted within the MOFL of large rivers in Brazil are characterized as government-owned and are ruled by a special legislation. The lack of consensus for an effective method for this delimitation has raised much conflicts between dwellers, land owners and the federal government. To solve this, the SFFPP first aims to determine the mean flood plain level using historical water level data and then find all the dates since the launch of the first satellite sensor with a 30 m resolution (Landsat-4, 1982) corresponding to these particular water levels with a small margin of error. All Landsat images corresponding to these dates were acquired to produce a delineation of the MOFL. In a thorough series of tests to extract the water surface, the K-means segmentation using the shortwave infrared band of Landsat yielded the best results. A first refining of the MOFL was performed by interpolating the Landsat bands to improve the smoothness of the waterline. This refinement reduced the average distance error between the Landsat water edge and the true water edge from 9 to 7.5 meters. Then, some sections of the MOFL was further completed or refined using high-resolution multi-source satellite images where available. These first results were very encouraging and we were able to acquire Landsat images for each section of the river corresponding to the mean flood water level. Because Brazil has been suffering a significant reduction in rainfall since 2013, no recent SAR or optical images such as Sentinel-1 and -2 could be used. Analysis of the water level time series confirmed an alarming decreasing trend in the water discharge of the Sao Francisco River.

Paper Details

Date Published: 10 October 2018
PDF: 13 pages
Proc. SPIE 10783, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX, 1078318 (10 October 2018); doi: 10.1117/12.2325382
Show Author Affiliations
Philippe Maillard, Univ. Federal de Minas Gerais (Brazil)
Marília F. Gomes, Univ. Federal de Minas Gerais (Brazil)
INCRA (Brazil)
Évelyn M. Pôssa, Univ. Federal de Minas Gerais (Brazil)
Lília M. Oliveira, CEFET (Brazil)
Ramille Araújo Soares de Paula, Superintendência do Patrimônio da União de Minas Gerais (SPU) (Brazil)
Jessica Carvalho Vianna Có, Superintendência do Patrimônio da União de Minas Gerais (SPU) (Brazil)

Published in SPIE Proceedings Vol. 10783:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XX
Christopher M. U. Neale; Antonino Maltese, Editor(s)

© SPIE. Terms of Use
Back to Top