TY - GEN
T1 - Development of USV and UAV Robotic System for characterization of abandoned ponds by alluvial mining in the Peruvian Amazon
AU - Escobar, Manuel
AU - Pimentel, Juan
AU - Araujo, Julio
AU - Kahhat, Ramzy
AU - Cuellar, Francisco
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Artisanal and small-scale gold mining (ASGM) has generated numerous abandoned ponds in the Peruvian Amazon, substituting primary forest for a vast wetland of ponds that are subsequently colonized from surrounding water bodies. An adequate environmental characterization of these ponds is crucial to understand the environmental state and the evolution process of these landscapes, as well as the aquatic communities composition in response to habitat variables. Given the high number of abandoned water bodies and the need for quick and less-effort results, this research proposes using real-time robotic technologies through an Integrated Unmanned Surface Vehicle (USV) and Unmanned Aerial Vehicle (UAV) system. The environmental parameters to be analyzed include Depth (m), Temperature (°C), pH, Conductivity (μS/cm), Chlorophyll (μg/l), Salinity (PSU), Oxidation Reduction Potential (mV), Turbidity (FNU), and Dissolved Oxygen (% Sat). Experimental develop¬ment has been applied in four abandoned ponds related to alluvial mining in the Peruvian Amazon, specifically, Madre de Dios. The results obtained show the versatility of the proposed technology regarding the collection of environmental parameters and bathymetry, providing a methodological basis to implement future studies of ASGM. They will cover a greater area of the landscape as well as generate useful information in a post-mining restoration and wetlands preservation, leading to an effective aid landscape protection, aquatic resource management, and human well-being.
AB - Artisanal and small-scale gold mining (ASGM) has generated numerous abandoned ponds in the Peruvian Amazon, substituting primary forest for a vast wetland of ponds that are subsequently colonized from surrounding water bodies. An adequate environmental characterization of these ponds is crucial to understand the environmental state and the evolution process of these landscapes, as well as the aquatic communities composition in response to habitat variables. Given the high number of abandoned water bodies and the need for quick and less-effort results, this research proposes using real-time robotic technologies through an Integrated Unmanned Surface Vehicle (USV) and Unmanned Aerial Vehicle (UAV) system. The environmental parameters to be analyzed include Depth (m), Temperature (°C), pH, Conductivity (μS/cm), Chlorophyll (μg/l), Salinity (PSU), Oxidation Reduction Potential (mV), Turbidity (FNU), and Dissolved Oxygen (% Sat). Experimental develop¬ment has been applied in four abandoned ponds related to alluvial mining in the Peruvian Amazon, specifically, Madre de Dios. The results obtained show the versatility of the proposed technology regarding the collection of environmental parameters and bathymetry, providing a methodological basis to implement future studies of ASGM. They will cover a greater area of the landscape as well as generate useful information in a post-mining restoration and wetlands preservation, leading to an effective aid landscape protection, aquatic resource management, and human well-being.
UR - http://www.scopus.com/inward/record.url?scp=85192862625&partnerID=8YFLogxK
U2 - 10.1109/IHTC58960.2023.10508826
DO - 10.1109/IHTC58960.2023.10508826
M3 - Conference contribution
AN - SCOPUS:85192862625
T3 - 2023 IEEE International Humanitarian Technology Conference, IHTC 2023
BT - 2023 IEEE International Humanitarian Technology Conference, IHTC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Humanitarian Technology Conference, IHTC 2023
Y2 - 1 November 2023 through 3 November 2023
ER -