Recent research:
The researcher integrates geospatial methods, remote sensing, and environmental monitoring to address climate resilience, hazardous landscapes, and water quality within Latin America and urban settings. Across publications, the work uses topic modeling (LDA) to map climate change research priorities in Latin America, and employs drone imagery, differential GPS, and digital surface modeling to assess landslide susceptibility. It further exploits satellite-based vegetation indices (NDVI) and Google Earth Engine to monitor long-term environmental change, enabling authorities to inform spatial planning. The studies also examine air quality dynamics during social disturbances using TROPOMI satellite data, applying ground-truth correlations to relate remote sensing with station measurements. Precipitation estimation is refined by fusing satellite IMERG data with station records to improve hydrological analyses, while dissolved oxygen and self-purification processes in streams are modeled to evaluate wastewater impacts. Collectively, the research advances practical, region-specific tools for hazard anticipation, environmental monitoring, and public health via accessible remote sensing, open data platforms, and integrative methodologies, emphasizing local context, community involvement, and policy-relevant insights to enhance resilience and sustainable development in the region.