Fabián Santos

ORCID: 0000-0002-8130-4377
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About
Contact & Profiles
Research Areas
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Species Distribution and Climate Change
  • Remote Sensing and LiDAR Applications
  • Urban Green Space and Health
  • Urban Heat Island Mitigation
  • Innovative Approaches in Technology and Social Development
  • Urban Agriculture and Sustainability
  • Meteorological Phenomena and Simulations
  • Mining and Resource Management
  • Latin American Urban Studies
  • Human Mobility and Location-Based Analysis
  • Online Learning and Analytics
  • Geographic Information Systems Studies
  • Soil erosion and sediment transport
  • Impact of Light on Environment and Health
  • Environmental and Social Impact Assessments
  • Plant Water Relations and Carbon Dynamics
  • Wildlife Ecology and Conservation
  • Urban Transport and Accessibility
  • School Choice and Performance
  • Hydropower, Displacement, Environmental Impact
  • Nutritional Studies and Diet
  • Metabolomics and Mass Spectrometry Studies
  • Atmospheric and Environmental Gas Dynamics

Universidad Tecnológica Indoamérica
2019-2025

University of Bonn
2017-2018

The Copernicus program, an initiative by the European Union, offers open-access Earth observation data and high-level products through its services. However, these services are less well known in Latin America, underscoring need to strengthen capacity-building efforts. In this context, research examines design implementation of training workshops Ecuador panel discussions Bolivia, focusing on role Services addressing regional challenges related Environmental, Food Security, Climate Change,...

10.3390/su17041594 article EN Sustainability 2025-02-14

The Tropical Andes region includes biodiversity hotspots of high conservation priority whose management strategies depend on the analysis forest dynamics drivers (FDDs). These complex social and ecological interactions that manifest different space-time scales are commonly evaluated through regression multivariate datasets. However, processing such datasets is challenging, especially when time series used inconsistencies in data collection complicate their integration. Moreover, FDD...

10.1371/journal.pone.0226224 article EN cc-by PLoS ONE 2019-12-23

The Andean Amazon is an endangered biodiversity hot spot but its forest dynamics are less studied than those of the lowland and forests from middle or high latitudes. This because landscape variability, complex topography cloudy conditions constitute a challenging environment for any remote-sensing assessment. Breakpoint detection with Landsat time-series data established robust approach monitoring around globe has not been properly evaluated implementation in Amazon. We analyzed breakpoint...

10.3390/rs9010068 article EN cc-by Remote Sensing 2017-01-12

Monitoring long-term forest dynamics is essential for assessing human-induced land-cover changes, and related studies are often based on the multi-decadal Landsat archive. However, in areas such as Tropical Andes, scarce data resulting poor signal-to-noise ratio time series render implementation of automated time-series analysis algorithms difficult. The aim this research was to investigate a novel approach that combines image compositing, multi-sensor fusion, postclassification change...

10.1080/22797254.2018.1533793 article EN cc-by European Journal of Remote Sensing 2018-10-15

The high mining potential of the Peruvian Andes has promoted booming foreign investments. activity takes place on campesino community lands and headwaters. Once government awards a concession, companies must regularly negotiate land rent with communities over whole duration operation, often leading to disagreements. Our research objective is identify impacts farming activities in Junin region, central Andes. Using mixed-methods approach involving in-depth interviews, water soil analysis,...

10.3390/min9100647 article EN Minerals 2019-10-22

Academic performance (AP) is explained by a multitude of factors, principally those related to socioeconomic, cultural, and educational environments. However, AP less understood from spatial perspective. The aim this study was investigate methodology using machine learning approach determine which answers questionnaire-based survey were relevant for explaining the high secondary school students across urban–rural gradients in Ecuador. We used locations construct individual datasets stratify...

10.3390/ijgi10120830 article EN cc-by ISPRS International Journal of Geo-Information 2021-12-10

The Pambamarca fortress complex in northern Ecuador is a cultural and built heritage with 18 prehispanic fortresses known as Pucaras . They are mostly located on the ridge of volcano, which severely affected by erosion. In this research, we implemented multiscale methodology to identify sheet, rill gully erosion context climate change for prehistoric sites. first phase, coupled Revised Universal Soil Loss Equation (RUSLE) four CMIP6 models evaluate prioritize prone sheet erosion, after...

10.1371/journal.pone.0281869 article EN cc-by PLoS ONE 2023-02-23

Ensuring food security requires the publication of data in a timely manner, but often this information is not properly documented and evaluated. Therefore, combination databases from multiple sources common practice to curate corroborate results; however, also results incomplete cases. These tasks are labor-intensive since they require case-wise review obtain requested completed information. To address these problems, an approach based on Selenium web-scraping software imputation denoising...

10.3390/agriculture13051015 article EN cc-by Agriculture 2023-05-06

ABSTRACT The Coupled Model Inter‐comparison Project phase 6 (CMIP6) provides a suite of general circulation models (GCMs) and Socioeconomic Shared Pathways (SSPs) primarily for continental‐scale climate assessments. However, adapting these sub‐national assessments, particularly in countries with varied geography like Ecuador, complex variables such as precipitation, introduces challenges, including uncertainties selecting appropriate GCMs SSPs. To address issues, we adopt biogeographical...

10.1002/joc.8685 article EN International Journal of Climatology 2024-12-11

Abstract Digital inclusion in the Ecuadorian amazon is known as a problem, which intensified with pandemic. Since social distance now norm, we constructed WiFi access point (WAP) scanner to map and analyze its data. We correlated it ancillary geoinformation observe potential limitations method for indirect data collection. Our result indicate that WAP correlate weakly but positively nightlight, young population, accessibility economical centres, negatively slope. Moreover, differentiated...

10.1088/1755-1315/690/1/012054 article EN IOP Conference Series Earth and Environmental Science 2021-03-01

Abstract This manuscript presents the results of field research aimed to identify perceptions that condition urban imaginaries addressing green spaces in Quito, Ecuador. Two focus groups were carried out with experts designing spaces. The evaluated through discourse analysis, applying dialectical hermeneutical method, finally establish open, axial, and selective categories. Six categories allow understanding associated city’s spaces: conserved or intervened spaces, public private individual...

10.1088/1755-1315/690/1/012055 article EN IOP Conference Series Earth and Environmental Science 2021-03-01

Abstract Urban expansion and contemporary climate variations are caused by different proximate underlying multidimensional factors. A spatiotemporal analysis of the urban socio-ecosystem generates key information for planning a sustainable model. We analyzed pattern maximum temperature in hierarchy four categories cities South American tropics sequence seven-time intervals between 1985 2018. defined boundaries 31 using on climatic, topographic, forest, demographic, economic dimensions. This...

10.21203/rs.3.rs-2617031/v1 preprint EN cc-by Research Square (Research Square) 2023-02-28
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