Estimation of Glacier Outline and Volume Changes in the Vilcanota Range Snow-Capped Mountains, Peru, Using Temporal Series of Landsat and a Combination of Satellite Radar and Aerial LIDAR Images

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Nilton Montoya-JaraNilton Montoya-Jara Researcher focused on atmospheric and glaciological studies. Motivated by climate monitoring in high Researcher focused on atmospheric and glaciological studies. Motivated by climate monitoring in high mountains and a strategic alliance between atmospheric and glaciological researchers. Professor in the Universidad Nacional San Antonio de Abad (UNSAAC), Cusco - PERU. Publish in journals focused on the effects of extreme meteorological, geological, climatic phenomena. 1, Hildo LoayzaHildo Loayza Hildo Loayza Loza graduated in physics from the National Engineering University in Lima, Peru. He as Hildo Loayza Loza graduated in physics from the National Engineering University in Lima, Peru. He has worked as co-worker and lead of research projects and development funded by USAID and BMGF in the frame of remote sensing applied to precision agriculture, where he has published the majority of their publications. 2,3,*, Raymundo Oscar Gutiérrez-RosalesRaymundo Oscar Gutiérrez-Rosales Raymundo Oscar Gutierrez Rosales graduated from the Faculty of Agricultural Engineering of the La at Raymundo Oscar Gutierrez Rosales graduated from the Faculty of Agricultural Engineering of the National Agrarian University La Molina, having completed his Master's studies, working at the International Potato Center and the National Institute of Agrarian Innovation of Peru. His line of research is abiotic stress in plants, with an emphasis on drought and salts, on which he has various scientific publications. 4, Marcelo BuenoMarcelo Bueno Researcher focused on remote sensing, spatial analysis, and machine learning applications in climate Researcher focused on remote sensing, spatial analysis, and machine learning applications in agro-hydrology, climate change adaptation practices, and soil organic carbon stock estimation. Published in journals focused on water and agriculture. Currently enrolled in a Master's degree in Agriculture and Climate Change. 1 and Roberto QuirozRoberto Quiroz Roberto Quiroz is a scientist trained in basic sciences with vast experience in research, and in Roberto Quiroz is a scientist trained in basic sciences with vast experience in research, development, innovation, and capacity building in agriculture, climate change, and natural resources management. His over 100 publications on the above topics are based on his R&D work in different institutions and places: IDIAP-Panama, IDRC-Canada, CIP-CGIAR globally, CATIE Latin America, and NASA-JPL in the USA. Dr. Quiroz has served on over 20 doctoral and 30 master of science committees in universities from the USA, Europe, Latin America, Africa, and China. 5 1 Facultad de Agronomía y Zootecnia, Escuela Profesional de Agronomía, Universidad Nacional San Antonio Abad del Cusco (UNSAAC), Cusco 08003, Peru 2 International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 15024, Peru 3 Programa Académico de Ingeniería Ambiental, Facultad de Ingeniería, Universidad de Huánuco, Huánuco 10001, Peru 4 Facultad de Ingeniería Agrícola, Universidad Nacional Agraria de La Molina, Lima 15012, Peru 5 Instituto de Innovación Agropecuaria de Panamá (IDIAP), Estación Experimental de Cerro Punta—Chiriquí, Panama y Sistema Nacional de Investigación (SNI-SENACYT) Ciudad del Saber, Edificio 161, Clayton, Panama * Author to whom correspondence should be addressed. Remote Sens. 2024, 16(20), 3901; https://doi.org/10.3390/rs16203901 (registering DOI) Submission received: 23 August 2024 / Revised: 13 October 2024 / Accepted: 16 October 2024 / Published: 20 October 2024 Abstract The Vilcanota is the second-largest snow-capped mountain range in Peru, featuring 380 individual glaciers, each with its own unique characteristics that must be studied independently. However, few studies have been conducted in the Vilcanota range to monitor and track the area and volume changes of the Suyuparina and Quisoquipina glaciers. Notably, there are only a few studies that have approached this issue using LIDAR technology. Our methodology is based on a combination of optical, radar and LIDAR data sources, which allowed for constructing coherent temporal series for the both the perimeter and volume changes of the Suyuparina and Quisoquipina glaciers while accounting for the uncertainty in the perimeter detection procedure. Our results indicated that, from 1990 to 2013, there was a reduction in snow cover of 12,694.35 m2 per year for Quisoquipina and 16,599.2 m2 per year for Suyuparina. This represents a loss of 12.18% for Quisoquipina and 22.45% for Suyuparina. From 2006 to 2013, the volume of the Quisoquipina glacier decreased from 11.73 km3 in 2006 to 11.04 km3 in 2010, while the Suyuparina glacier decreased from 6.26 km3 to 5.93 km3. Likewise, when analyzing the correlation between glacier area and precipitation, a moderate inverse correlation (R −0.52, p 0.05) and annual minimum air temperature (R −0.36, p > 0.05) was low, inverse, and not significant for Quisoquipina. Meanwhile, snow cover on Suyuparina had a low nonsignificant correlation (R −0.31, p > 0.05) with the annual maximum air temperature, indicating a minimal influence of the measured climatic variables near this glacier on its retreat. In general, it was possible to establish a reduction in both the area and volume of the Suyuparina and Quisoquipina glaciers based on freely accessible remote sensing data. Share and Cite MDPI and ACS Style Montoya-Jara, N.; Loayza, H.; Gutiérrez-Rosales, R.O.; Bueno, M.; Quiroz, R. Estimation of Glacier Outline and Volume Changes in the Vilcanota Range Snow-Capped Mountains, Peru, Using Temporal Series of Landsat and a Combination of Satellite Radar and Aerial LIDAR Images. Remote Sens. 2024, 16, 3901. https://doi.org/10.3390/rs16203901 AMA Style Montoya-Jara N, Loayza H, Gutiérrez-Rosales RO, Bueno M, Quiroz R. Estimation of Glacier Outline and Volume Changes in the Vilcanota Range Snow-Capped Mountains, Peru, Using Temporal Series of Landsat and a Combination of Satellite Radar and Aerial LIDAR Images. Remote Sensing. 2024; 16(20):3901. https://doi.org/10.3390/rs16203901 Chicago/Turabian Style Montoya-Jara, Nilton, Hildo Loayza, Raymundo Oscar Gutiérrez-Rosales, Marcelo Bueno, and Roberto Quiroz. 2024. "Estimation of Glacier Outline and Volume Changes in the Vilcanota Range Snow-Capped Mountains, Peru, Using Temporal Series of Landsat and a Combination of Satellite Radar and Aerial LIDAR Images" Remote Sensing 16, no. 20: 3901. https://doi.org/10.3390/rs16203901 Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here. Article Metrics Article metric data becomes available approximately 24 hours after publication online. Source link Nilton Montoya-Jara www.mdpi.com

Abstract

Share and Cite

Article Metrics

Related Posts

A Comprehensive Review with Meta-Analysis

Rwanda: #3xRenewables for Women Empowerment and Sustainable Development

Market dynamics vary at key natural gas pricing hubs

Greenberg