My dissertation explored the advantages of using optical satellite remote sensing to understand the dynamics of ecosystems (e.g., forests and wetlands) to provide insight into their states and responses to disturbances.
Roads, construction sites, and unauthorized structures near or under electricity networks may cause hazards and potential risks to the powerlines. In this project, I have used very high resolution optical satellite images (e.g., Pléiades and SkySat), along with Sentinel-1 data (SAR) and airborne data (LIDAR), to estimate the danger of tree invoked power line damage. I have calculated tree heights, tree distance to powerlines, vegetation health, and the impact of disasters on powerlines.
Optical satellite data allows to monitor the state of forests. However, availability of optical data can be
challenging in some areas due to cloud coverage. Radar data is independent from
solar illumination, clouds, haze, and rain. Therefore, it
provides gap-free data for different purposes, such as vegetation mapping. I have created a web application that automatically generates the Radar Vegetation Index for monitoring afforested areas. You can freely try the web application to monitor the state of vegetation in central perk of Helsinki, Finland:
Forests are critical in regulating climate by altering the Earth's surface albedo. Therefore, there is an urgent need to enhance our knowledge about the effects of forest structure on albedo. In this web application, I presented a global assessment of the links between forest structure and albedo at a 1-km spatial resolution using generalized additive models (GAMs). I used remotely sensed data to obtain variables representing forest structure, including forest density, leaf area index, and tree cover, during the peak growing season in 2005 with pure forest pixels that cover ~7% of the Earth's surface:
Albedo App
The mission of the HEDIMED project is to find out prevention of immune-mediated diseases, including type 1 diabetes, celiac disease, asthma, and allergies. The project is developed by 22 partners (including 11 universities). HEDIMED aims to identify the environmental exposures contributing to the development of the abovementioned diseases. My contribution in this project is to provide high quality remotely sensed data of environmental factors.
The climate change will eventually alter the way buildings are designed, built, and operated in the upcoming decades. Green buildings are structures cope the negative impacts on the environment by using less water, energy or natural resources. One of the challenges in green building development is the lack of data that reprensets energy, natural gas, water, and other critical information in terms of climate. Remote sensing helps to establish a common and standardized way to monitor green buildings.
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