Modeling of Geomorphological Diversity in the Punta de Coles National Reserve, Port of Ilo, Moquegua, Perú, Using Geodetic GNSS Receivers

The geomorphological characterization of coastal–marine environments is essential for environmental management and biodiversity conservation. The objective of this study was to model the geomorphological diversity of the Punta de Coles National Reserve, located in Puerto de Ilo, Moquegua, Peru, using GNSS geodetic receivers, integrating topographic and bathymetric data to continuously represent both the emerged and submerged relief. The methodology involved establishing two “C”-order geodetic control points, implementing a closed polygon with 13 vertices, conducting a topographic survey, and recording bathymetric data along coastal transects extending 1 km offshore using an echo sounder and GNSS positioning. The data were processed in a GIS environment to generate a Coastal–Marine Digital Terrain Model (CM-DTM) with metric resolution. The results showed a total area of 171.451 ha, with elevation variations ranging from sea level to 71.617 m above sea level. Distinct geomorphological units were identified, such as coastal plains (0–5% slope), hills (15–35%), and cliffs (>45%), in addition to 16 rocky islets covering 1.537 ha. In the underwater environment, the model made it possible to identify submerged terraces, slopes, and local depressions down to a depth of −115 m, revealing a continuous transition between the land and sea topography; additionally, areas with a higher susceptibility to erosion and areas of high ecological importance were identified. This study’s contribution lies in the integration of GNSS geodetic data with topobathymetric surveys, which enabled the generation of a high-precision continuous model in an area with limited prior information, establishing a scientific baseline for coastal and marine management and conservation.

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Journal
Geosciences
Published
2026-04-07
DOI
https://doi.org/10.3390/geosciences16040151
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

Modeling of Geomorphological Diversity in the Punta de Coles National Reserve, Port of Ilo, Moquegua, Perú, Using Geodetic GNSS Receivers

Hebert Hernán Soto Gonzáles, Jorge González Aguilera, Alex Tejada Cáceres, Mario Ruiz Choque et al.
Geosciences
Soil Moisture and Remote Sensing
article

Modeling of Geomorphological Diversity in the Punta de Coles National Reserve, Port of Ilo, Moquegua, Perú, Using Geodetic GNSS Receivers

Hebert Hernán Soto Gonzáles, Jorge González Aguilera, Alex Tejada Cáceres, Mario Ruiz Choque, Juan Manuel Aguilar, Olegario Marín-Machuca, Danny Efraín Baldarrago Centeno, Sheda Méndez-Ancca, Renzo Pepe-Victoriano, Luis Enrique Sosa Anahua
article en

Abstract

The geomorphological characterization of coastal–marine environments is essential for environmental management and biodiversity conservation. The objective of this study was to model the geomorphological diversity of the Punta de Coles National Reserve, located in Puerto de Ilo, Moquegua, Peru, using GNSS geodetic receivers, integrating topographic and bathymetric data to continuously represent both the emerged and submerged relief. The methodology involved establishing two “C”-order geodetic control points, implementing a closed polygon with 13 vertices, conducting a topographic survey, and recording bathymetric data along coastal transects extending 1 km offshore using an echo sounder and GNSS positioning. The data were processed in a GIS environment to generate a Coastal–Marine Digital Terrain Model (CM-DTM) with metric resolution. The results showed a total area of 171.451 ha, with elevation variations ranging from sea level to 71.617 m above sea level. Distinct geomorphological units were identified, such as coastal plains (0–5% slope), hills (15–35%), and cliffs (>45%), in addition to 16 rocky islets covering 1.537 ha. In the underwater environment, the model made it possible to identify submerged terraces, slopes, and local depressions down to a depth of −115 m, revealing a continuous transition between the land and sea topography; additionally, areas with a higher susceptibility to erosion and areas of high ecological importance were identified. This study’s contribution lies in the integration of GNSS geodetic data with topobathymetric surveys, which enabled the generation of a high-precision continuous model in an area with limited prior information, establishing a scientific baseline for coastal and marine management and conservation.

GeosciencesVol. 16(4)
Federico Villarreal National University (PE), Universidade Estadual de Mato Grosso do Sul (BR), Instituto del Mar del Peru (PE), Universidad Nacional de Moquegua (PE), National University of Engineering (PE), Arturo Prat University (CL)
Life below water
Openalex Percentile: Top 29%
Soil Moisture and Remote Sensing
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