CEU Electronic Theses and Dissertations, 2024
| Author | De La Cruz, Leizel |
|---|---|
| Title | Optimizing Sustainable Agriculture with EO-Derived Data For Soil Health Assessment |
| Summary | Healthy soil is essential for food security, but traditional assessment methods are costly and slow. Thus, the need to explore the potential of free and readily available Earth Observation (EO) data for assessing soil health in agricultural land for both global scale and Central Asian region. Through systematic review of literature, the soil health indicators are identified and nine EO platforms offering EO data on these indicators are selected for further evaluation. The EO datasets for each indicators and each platforms are assessed based on data quality and platform functionalities, namely: intrinsic characteristics, context, representation, accessibility. Findings revealed that there’s a limited number of EO platforms (nine out of thirty) offering free, high-quality global soil data. The free and readily available EO datasets for soil properties can be limited with the spatial resolution and temporal coverage that often presented a single year, even if historical data exists. Despite these limitations, the study presented a variety of EO data available that can be used depending on the user's ability in remote sensing and highlights the potential of EO data for soil health assessment in different geographic ranges. By understanding these limitations, users can choose the right platform, interpret data accurately, and ultimately make data-driven decisions for sustainable agriculture. Overall, this study demonstrates the value of freely available EO data in promoting data-driven decision-making for sustainable agricultural land management. |
| Supervisor | Lagutov, Viktor |
| Department | Environment Sciences and Policy MSc |
| Full text | https://www.etd.ceu.edu/2024/de-la-cruz_leizel.pdf |
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