Challenges of defining the floodplain through the “mean ordinary flood line” approach using remote sensing in Brazil: a case study of the São Francisco River

Pub Date : 2022-01-01 DOI:10.1590/2318-0331.272220210110
P. Maillard, M. F. Gomes, É. M. Pôssa, Ramille Soares de Paula
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引用次数: 1

Abstract

Abstract The “Mean Ordinary Flood Line” (MOFL) is a conceptual line adopted by Brazil’s Federal Government to delineate land within the floodplain under its ownership and jurisdiction having major social implications. Past attempts at the cartography of this line have encountered strong difficulties brought either by a low precision or an excessive cost. In this article, we propose a method based on historical water gauge data to determine the water level corresponding to the MOFL. Satellite images coincident with past dates when the MOFL was reached are selected and processed to extract the water surface from which the MOFL can then be produced. The approach was implemented in a 600 km reach of the São Francisco River in Minas Gerais as a pilot project. A field survey served to validate the results. The positional accuracy of the MOFL was estimated at 24 m which was considered excellent since mostly Landsat images with a spatial resolution of 30 m were used.
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巴西利用遥感通过“平均洪泛线”方法确定洪泛区的挑战:以奥弗朗西斯科河为例研究
“平均普通洪泛线”(MOFL)是巴西联邦政府用来划定其拥有和管辖的洪泛区内土地的一条概念性界线,具有重大的社会意义。过去对这条线进行制图的尝试由于精度低或费用过高而遇到了很大的困难。在本文中,我们提出了一种基于历史水位计数据的方法来确定MOFL对应的水位。选择并处理与过去达到MOFL的日期一致的卫星图像,以提取水体表面,然后从中产生MOFL。作为一个试点项目,在米纳斯吉拉斯州奥弗朗西斯科河600公里河段内实施了这一办法。实地调查证实了这些结果。MOFL的定位精度估计在24 m,这被认为是很好的,因为大多数使用的是空间分辨率为30 m的Landsat图像。
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