Remote Sensing
What is it about?
Remote sensing is a cutting-edge science and technology that enables us to explore and observe our planet from a distance, providing a unique and comprehensive perspective of the Earth's surface and atmosphere. By harnessing the power of specialized sensors mounted on satellites, aircraft, drones, or ground-based platforms, remote sensing allows us to capture and analyze electromagnetic radiation emitted or reflected by the Earth.
This incredible technology extends our human senses, granting us the ability to "see" beyond our immediate reach, and delve into regions that would otherwise be difficult or dangerous to access. As these remote sensing instruments gather data, it opens a gateway to a wealth of vital information about our environment, natural resources, weather patterns, and human activities.
Technical expertises
Multispectral imaging
Multispectral sensors capture radiation in several narrow wavelength bands beyond visible light, such as near-infrared and thermal infrared. This data helps analyze vegetation health, soil moisture, and land-use patterns.
I use imagery acquired by Satellites (e.g., Landsat, Sentinel, World View, Planet) and drone for land-cover mapping, vegetation health and crop monitoring, change detection and time-series analysis, from regional to global scale.
Hyperspectral imaging
Hyperspectral sensors capture data in hundreds narrow, contiguous spectral bands, providing detailed information about the unique spectral signatures of different materials and vegetation types.
I use hyperspectral in various domains, from land-cover mapping to species detection, plant trait estimation and rare-earth element discovery.
LiDAR (Light Detection and Ranging)
LiDAR systems emit laser pulses and measure the time it takes for the pulses to return after bouncing off objects. This produces high-resolution elevation and topographic data, aiding in terrain modeling and vegetation structure analysis.
I use airborne LiDAR data to model the geomorphology of a landscape or structural information of objects. From LiDAR data point we obtain digital terrain and surface models and compute topographical metrics (e.g., gradient slope, aspect, curvature, topographic wetness index). these metrics provide critical information to better understand biogeochemical processes.
Proximal (near-range) remote sensing
Proximal remote sensing involves data acquisition from close distances, enabling higher spatial resolutions and detailed observations of the target. In some cases, sensors or instruments are in direct contact with the object being studied, allowing for precise measurements and data collection.
I use field spectroradiometer to acquire reflectances in leaves for nutrient content estimation, as well as rocks for rare-earth element investigation.