Niltón B Rojas Briceño
Biographic Data
| ID | 7904765 |
|---|---|
| NAME | Niltón B Rojas Briceño |
| GIVEN NAMES | Niltón B Rojas |
| FAMILY NAME | Briceño |
| SIGNATURE | BRICEÑO N B R |
| AFFILIATIONS | National University Toribio Rodríguez de Mendoza |
| ORCID | 0000-0002-5352-6140 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
LiDAR-based assessment of above-ground biomass and carbon stocks in coffee agroforestry systems: Implications for climate mitigation and smallholder livelihoods at different elevations
Coffee agroforestry systems (CAS) mitigate climate change, but their structural complexity hinders accurate carbon quantification. We combined aerial LiDAR and field data to assess vegetation height, aboveground biomass (AGB), and carbon stocks across three altitudinal strata (1,277–1,710 m a.s.l.) in six CAS plots (comprising 1,559,858 LiDAR-derived observation cells) in northern Peru. Mean canopy height (2.47–8.79 m), AGB (1.55–40.59 Mg ha−1), …
Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)
High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained through airborne laser scanning (ALS) from a drone, along with advanced visualization techniques (VTs) b…
Effectiveness of protected areas in containing the loss of Peruvian Amazonian forests
Between 2001 and 2022, 2.92 million hectares of Peruvian Amazon Forests (PAF) were lost, increasing the deforested area from 7.15% to 10.88%. • The deforestation rate in the surrounding areas (0.1699%) was greater than within the natural protected areas (NPAs, 0.0399%). • One of the 41 NPAs analyzed was classified as effective, while 31 were moderately-effective and 9 were not-effective in containing the loss of PAF. Peruvian Amazonian Forests (P…
Knowledge and Attitudes of Parents about Oral Health in the Primary Dentition Stage in a Peruvian High Andean City
Children's oral health depends on parents' knowledge and attitudes. The primary dentition stage, in particular, plays a crucial role in the comprehensive development of children. Therefore, the objective was to evaluate parents' knowledge and attitudes about oral health in the primary dentition stage in Chachapoyas (Amazonas, NW Peru). A questionnaire was administered to 409 parents from 15 educational institutions, and the data were analyzed usi…
Dynamics of the Burlan and Pomacochas Lakes Using SAR Data in GEE, Machine Learning Classifiers, and Regression Methods
Amazonas is a mountain region in Peru with high cloud cover, so using optical data in the analysis of surface changes of water bodies (such as the Burlan and Pomacochas lakes in Peru) is difficult, on the other hand, SAR images are suitable for the extraction of water bodies and delineation of contours. Therefore, in this research, to determine the surface changes of Burlan and Pomacochas lakes, we used Sentinel-1 A/B products to analyse the dyna…
Monitoring Wildfires in the Northeastern Peruvian Amazon Using Landsat-8 and Sentinel-2 Imagery in the GEE Platform
During the latest decades, the Amazon has experienced a great loss of vegetation cover, in many cases as a direct consequence of wildfires, which became a problem at local, national, and global scales, leading to economic, social, and environmental impacts. Hence, this study is committed to developing a routine for monitoring fires in the vegetation cover relying on recent multitemporal data (2017–2019) of Landsat-8 and Sentinel-2 imagery using t…
Morphometric Prioritization, Fluvial Classification, and Hydrogeomorphological Quality in High Andean Livestock Micro-Watersheds in Northern Peru
Anthropic activity affects the hydrogeomorphological quality of fluvial systems. River and valley classifications are fundamental preliminary steps in determining their ecological status, and their prioritization is essential for the proper planning and management of soil and water resources. Given the importance of the High Andean livestock micro-watershed (HAL-MWs) ecosystems in Peru, an integrated methodological framework is presented for morp…
Land Suitability for Sustainable Aquaculture of Rainbow Trout (Oncorhynchus mykiss) in Molinopampa (Peru) Based on RS, GIS, and AHP
Peruvian aquaculture, specifically trout production, has had significant growth over the past ten years. However, the establishment and expansion of small-scale aquaculture have been carried out without considering the suitability of the land. In Peru, such land suitability studies have yet to be reported. Therefore, a methodological framework is presented for inland aquaculture, which may be replicated, with the necessary complements, for the en…
Land Suitability for Coffee (Coffea arabica) Growing in Amazonas, Peru: Integrated Use of AHP, GIS and RS
Peru is one of the world’s main coffee exporters, whose production is driven mainly by five regions and, among these, the Amazonas region. However, a combined negative factor, including, among others, climate crisis, the incidence of diseases and pests, and poor land-use planning, have led to a decline in coffee yields, impacting on the family economy. Therefore, this research assesses land suitability for coffee production (Coffea arabica) in Am…
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Monitoring Wildfires in the Northeastern Peruvian Amazon Using Landsat-8 and Sentinel-2 Imagery in the GEE Platform
During the latest decades, the Amazon has experienced a great loss of vegetation cover, in many cases as a direct consequence of wildfires, which became a problem at local, national, and global scales, leading to economic, social, and environmental impacts. Hence, this study is committed to developing a routine for monitoring fires in the vegetation cover relying on recent multitemporal data (2017–2019) of Landsat-8 and Sentinel-2 imagery using t…
Morphometric Prioritization, Fluvial Classification, and Hydrogeomorphological Quality in High Andean Livestock Micro-Watersheds in Northern Peru
Anthropic activity affects the hydrogeomorphological quality of fluvial systems. River and valley classifications are fundamental preliminary steps in determining their ecological status, and their prioritization is essential for the proper planning and management of soil and water resources. Given the importance of the High Andean livestock micro-watershed (HAL-MWs) ecosystems in Peru, an integrated methodological framework is presented for morp…
Land Suitability for Sustainable Aquaculture of Rainbow Trout (Oncorhynchus mykiss) in Molinopampa (Peru) Based on RS, GIS, and AHP
Peruvian aquaculture, specifically trout production, has had significant growth over the past ten years. However, the establishment and expansion of small-scale aquaculture have been carried out without considering the suitability of the land. In Peru, such land suitability studies have yet to be reported. Therefore, a methodological framework is presented for inland aquaculture, which may be replicated, with the necessary complements, for the en…
Land Suitability for Coffee (Coffea arabica) Growing in Amazonas, Peru: Integrated Use of AHP, GIS and RS
Peru is one of the world’s main coffee exporters, whose production is driven mainly by five regions and, among these, the Amazonas region. However, a combined negative factor, including, among others, climate crisis, the incidence of diseases and pests, and poor land-use planning, have led to a decline in coffee yields, impacting on the family economy. Therefore, this research assesses land suitability for coffee production (Coffea arabica) in Am…
Dynamics of the Burlan and Pomacochas Lakes Using SAR Data in GEE, Machine Learning Classifiers, and Regression Methods
Amazonas is a mountain region in Peru with high cloud cover, so using optical data in the analysis of surface changes of water bodies (such as the Burlan and Pomacochas lakes in Peru) is difficult, on the other hand, SAR images are suitable for the extraction of water bodies and delineation of contours. Therefore, in this research, to determine the surface changes of Burlan and Pomacochas lakes, we used Sentinel-1 A/B products to analyse the dyna…
Knowledge and Attitudes of Parents about Oral Health in the Primary Dentition Stage in a Peruvian High Andean City
Children's oral health depends on parents' knowledge and attitudes. The primary dentition stage, in particular, plays a crucial role in the comprehensive development of children. Therefore, the objective was to evaluate parents' knowledge and attitudes about oral health in the primary dentition stage in Chachapoyas (Amazonas, NW Peru). A questionnaire was administered to 409 parents from 15 educational institutions, and the data were analyzed usi…
Effectiveness of protected areas in containing the loss of Peruvian Amazonian forests
Between 2001 and 2022, 2.92 million hectares of Peruvian Amazon Forests (PAF) were lost, increasing the deforested area from 7.15% to 10.88%. • The deforestation rate in the surrounding areas (0.1699%) was greater than within the natural protected areas (NPAs, 0.0399%). • One of the 41 NPAs analyzed was classified as effective, while 31 were moderately-effective and 9 were not-effective in containing the loss of PAF. Peruvian Amazonian Forests (P…
LiDAR-based assessment of above-ground biomass and carbon stocks in coffee agroforestry systems: Implications for climate mitigation and smallholder livelihoods at different elevations
Coffee agroforestry systems (CAS) mitigate climate change, but their structural complexity hinders accurate carbon quantification. We combined aerial LiDAR and field data to assess vegetation height, aboveground biomass (AGB), and carbon stocks across three altitudinal strata (1,277–1,710 m a.s.l.) in six CAS plots (comprising 1,559,858 LiDAR-derived observation cells) in northern Peru. Mean canopy height (2.47–8.79 m), AGB (1.55–40.59 Mg ha−1), …
Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)
High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained through airborne laser scanning (ALS) from a drone, along with advanced visualization techniques (VTs) b…
Geography (7 works) · Environmental Science (6 works) · Biology (5 works) · Ecology (5 works) · Amazon rainforest (3 works) · Agroforestry (2 works) · Analytic hierarchy process (2 works) · Cartography (2 works) · Computer Science (2 works) · Engineering (2 works)