We designed a novel method to retrieve snowlines from the MODIS surface reflectance products. Our results provide unique insight into the glacier snowline dynamics.
Assessment of Temperature Lapse Rate and Its Integration with Hydrological Modeling using AWS and MODIS data over the Uttarakhand Region
This study examines runoff variations in Uttarakhand’s Alaknanda and Mandakini Basins using MODIS-LST and SPHY models, showing climate-driven shifts in rainfall, snowmelt, glacier melt, and base flow.
Preparing for NASA SBG: fusing multi- and hyperspectral airborne and satellite data to create daily, high resolution snow albedo products
Our project combines multi- and hyperspectral reflectance data, spectral mixture analysis, and random forest machine learning algorithms to create better snow albedo measurements.
Assessment of glacial retreat and its influence on water availability in the Quillcay River Hydrographic Unit under CMIP6 climate scenarios (Period 2000-2050)
The research analyses the retreat of glaciers in the Quillcay River hydrographic unit (2000-2050) using satellite images and glaciological models under CMIP6 scenarios.
Bofedales and Nature-Based Solutions: Integrating TEK and Science for Sustainable Low-Latitude Alpine Ecosystems
We integrate ILK with remote sensing and botanical assessments to explore the role of ritual practices in enhancing the resilience of bofedales, aiming to inform sustainable management of bofedales.
A standardized, globally applicable method for detecting spatial patterns at alpine treeline ecotones
Developing a deep learning method to detect treeline ecotone patterns, we are studying the level of detail and spatial accuracy needed to characterise different aspect of treeline spatial patterns.
Classification of supraglacial landslides based on geometry, location, potential geomorphological impact, and preservation potential
This study proposes a classification of supraglacial landslides based on their geometry, location, potential impacts, and preservation potential.
Exploring spatio-temporal characteristics of extreme rainfall events in the tropical Andes
Extreme rainfall characteristics in the Ecuadorian Andes are analyzed using high-resolution radar data, identifying different rainfall patterns for 3 classes of extreme events.r
Integrating Remote Sensing and Participatory Scenario Planning to Model Agroforestry Futures in Ethiopia
Agroforestry’s viability in Ethiopia relies on socio-environmental, political, and cultural factors, requiring local knowledge and remote sensing for effective land-use planning and climate adaptation