Generation of a Digital Terrain Model (DTM) Fusioning WV-2 Images and RTK-derived Topobathymetric Data

Q4 Social Sciences
E. V. Escobar-Silva, C. Almeida, Rômulo Marques-Carvalho, J. Guerrero, Cleber Gonzales de Oliveira
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引用次数: 0

Abstract

Digital terrain models (DTMs) are digital elevation models (DEMs) that represent the bare ground surface. They are created by multiple sources, including satellite remote sensing, aerial photography, and ground-based surveys, and are often combined with other data sources to create highly detailed models. As the demand for accurate and detailed information about the Earth's surface continues to grow, DTMs have become an increasingly important tool for researchers in different fields. This study aims to create a DTM with a spatial resolution of 0.50 m for São Caetano do Sul, São Paulo, Brazil, integrated with a topobathymetric map of three water courses running along the borders of the study area. For the conventional DTM generation, a WV-2 stereo pair was used. A total of 55 ground control points (GCPs) were collected using the GNSS-RTK method, being 60% used for model building and 40% employed for validation. The topobathymetric survey was accomplished using a GNSS-RTK device placed along the analyzed open streams. For validation purposes, we used bias and MAE metrics. Overall, the methodology presented in this article provides a useful approach for generating high-resolution DTMs that can be used in a range of applications, especially in urban hydrodynamic studies.
融合 WV-2 图像和 RTK 地形测量数据生成数字地形模型 (DTM)
数字地形模型(DTM)是数字高程模型(DEM),代表裸露的地表。它们由多种来源创建,包括卫星遥感、航空摄影和地面勘测,通常与其他数据源相结合以创建高度详细的模型。随着对地球表面精确、详细信息的需求不断增长,DTM 已成为不同领域研究人员日益重要的工具。本研究旨在为巴西圣保罗的 São Caetano do Sul 绘制空间分辨率为 0.50 米的 DTM,并将其与沿研究区域边界流淌的三条水道的地形测量图相整合。在生成传统 DTM 时,使用了 WV-2 立体对。使用 GNSS-RTK 方法共采集了 55 个地面控制点(GCP),其中 60% 用于建立模型,40% 用于验证。地形测量是通过沿分析的开放式溪流放置的 GNSS-RTK 设备完成的。为了验证,我们使用了偏差和 MAE 指标。总之,本文介绍的方法为生成高分辨率 DTM 提供了一种有用的方法,可用于一系列应用,尤其是城市水动力研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Revista Brasileira de Cartografia
Revista Brasileira de Cartografia Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.70
自引率
0.00%
发文量
37
审稿时长
16 weeks
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