Remotely sensed monitoring of land surface albedo and ecosystem dynamics  

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Journal Title
Journal ISSN
Volume Title
School of Engineering | Doctoral thesis (article-based) | Defence date: 2020-12-04
Date
2020
Major/Subject
Mcode
Degree programme
Language
en
Pages
77 + app. 141
Series
Aalto University publication series DOCTORAL DISSERTATIONS, 183/2020
Abstract
The earth is under unprecedented pressure, which is reflected in rapid ecosystem changes around the globe. Over just the past three decades, the earth has lost over 178 million hectares of its forests. The rapidly growing evidence of the loss of resilience in ecosystems (i.e., recovery from disturbances slows down) due to climate change has become a global concern. Our limited knowledge of ecosystem dynamics and their key parameters, such as albedo, has also hindered our ability to manage ecosystems appropriately. The main aim of this dissertation is to contribute to elucidating ecosystem dynamics by exploiting remotely sensed satellite data. Additionally, this dissertation aims to explore the dynamics of albedo (reflectivity) in response to forest structure (forest density, tree cover, and leaf area index) variations and forest disturbances (fire and drought). To address specific research questions discussed throughout this dissertation, various study sites extending from local to global scales are considered. The results showed that using an appropriate ecosystem state variable that can represent the state of an ecosystem makes it is possible to achieve a reliable and timely evaluation of wetlands or forests state change. To that end, a new remotely sensed index called the modified vegetation water ratio (MVWR) was developed which improved the ability to understand the dynamics of wetlands. A new approach was also developed based on incorporating local spatial autocorrelation. The efficiency of this approach in measuring the state of drought-affected forests was demonstrated. To provide a convenient implementation of the presented approaches, a new R package, "stew", was developed. Investigating the dynamics of forest albedo on disturbances revealed that precipitation and burn severity only weakly explained the temporal dynamics of albedo. In contrast, it was shown that the number of fire events and the leaf area index strongly explained temporal albedo dynamics. According to the results, although fires could lead to abrupt decreases in the temporal dynamics of albedo, droughts caused abrupt increases in the temporal dynamics of albedo. Finally, a global-scale study was conducted to explore the links between forest structure and albedo during the peak growing season. The results demonstrated that forest structure might significantly explain albedo in most of the forests around the world. It was also found that the response of the shortwave albedo (300–5000 nm) to the variations of the leaf area index was always positive. The first map representing the links between forest structure and albedo was provided which highlights the importance of the role of forests in modulating albedo on a global scale. It is expected that the implications of the results of this dissertation contribute to future climate mitigation plans, the monitoring of ecosystem dynamics, and sustainable development in general.
Description
Follow dissertation remotely from here on 4.12.2020 12:00 – 16:00: https://aalto.zoom.us/j/61998840053
Supervising professor
Rautiainen, Miina, Prof., Aalto University, Department of Built Environment, Finland
Keywords
ecosystem dynamics, land surface albedo, disturbances, forest mortality, critical transition, satellite images
Other note
Parts
  • [Publication 1]: Alibakhshi, S., Groen, T.A., Rautiainen, M., and Naimi, B., 2017. Remotely-sensed early warning signals of a critical transition in a wetland ecosystem. Remote sensing, 9(4), p.352.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201705114258
    DOI: 10.3390/rs9040352' View at publisher
  • [Publication 2]: Alibakhshi, S. Spatio-temporal analysis of remote sensing images provides early warning signals of forest mortality. Submitted to Science of the Total Environment on 22nd of May 2020 and revised according to pre-examination comments
  • [Publication 3]: Alibakhshi, S., Hovi, A., and Rautiainen, M., 2019. Temporal dynamics of albedo and climate in the sparse forests of Zagros. Science of the Total Environment, 663, pp.596-609.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201902251852
    DOI: 10.1016/j.sci- totenv.2019.01.253 View at publisher
  • [Publication 4]: Alibakhshi, S., Naimi, B., Hovi, A., Crowther, T.W., and Rautiainen, M., 2020. Quantitative analysis of the links between forest structure and land surface albedo on a global scale. Remote Sensing of Environment, 246, p.111854.
    DOI: 10.1016/j.rse.2020.111854 View at publisher
Citation