8. Additional Resources and References

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Further Reading

1. Anderson, K., Ryan, B., Sonntag, W., Kavvada, A., & Friedl, L. (2017). Earth observation in service of the 2030 Agenda for Sustainable Development. Geo-spatial Information Science, 20(2), 77–96. https://doi.org/10.1080/10095020.2017.1333230
2. Bathiany, S., Bastiaansen, R., Bastos, A., Blaschke, L., Lever, J., Loriani, S., De Keersmaecker, W., Dorigo, W., Milenković, M., Senf, C., Smith, T., Verbesselt, J., & Boers, N. (2024). Ecosystem resilience monitoring and early warning using Earth observation data: Challenges and outlook. Surveys in Geophysics. https://doi.org/10.1007/s10712-024-09833-z
3. Bell, A., Klein, D., Rieser, J., Kraus, T., Thiel, M., & Dech, S. (2023). Scientific evidence from space—A review of spaceborne remote sensing applications at the science–policy interface. Remote Sensing, 15(4), 940. https://doi.org/10.3390/rs15040940
4. EO College. (n.d.). Hazards and disasters. https://eo-college.org/courses/hazards-and-disasters/

References

Baldo, M., 2022. Remote sensing analysis on dynamics of forest structure: Kadamakal Reserve Forest and Pushpagiri Wildlife Sanctuary as a case study. ResearchGate. https://www.researchgate.net/publication/359980339

Clavel, D., Guétat-Bernard, H., & Verger, E. O. (2023). Intensified rice production negatively impacts plant biodiversity, diet, lifestyle and quality of life: Transdisciplinary and gendered research in the Middle Senegal River Valley. Agriculture and Human Values, 40(3), 745–760. https://doi.org/10.1007/s10460-022-10392-5   

De Mey, Y., Demont, M., & Diagne, M. (2012). Estimating bird damage to rice in Africa: Evidence from the Senegal River Valley. Journal of Agricultural Economics, 63(1), 175–200. https://doi.org/10.1111/j.1477-9552.2011.00323.x   

European Space Agency (ESA). (2019). Educational Support. The Electromagnetic Spectrum. https://sci.esa.int/web/education/-/50368-the-electromagnetic-spectrum.

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031   

Lillesand, T., Kiefer, R.W., Chipman, J., 2015. Remote sensing and image interpretation. John Wiley & Sons.

Mishra, A. K., & Singh, V. P. (2010). A review of drought concepts. Journal of Hydrology, 391(3–4), 202–216. https://doi.org/10.1016/j.jhydrol.2010.07.012   

Miura, T., n.d. Remote Sensing Basics. Mākaha Valley Remote Sensing Project, Department of Natural Resources and Environmental Management, University of Hawaiʻi at Mānoa. https://www3.ctahr.hawaii.edu/miuralab/projects/makaha/intro_rs.html

Porcuna-Ferrer, A., Calvet-Mir, L., Faye, N. F., Klappoth, B., Reyes-García, V., & Labeyrie, V. (2024). Drought-tolerant indigenous crops decline in the face of climate change: A political agroecology account from south-eastern Senegal. Journal of Rural Studies, 105, 103163. https://doi.org/10.1016/j.jrurstud.2023.103163   

Toffa, J., Loko, Y. L. E., Djedatin, G., Gbemavo, C. D., Orobiyi, A., Tchakpa, C., Ewedje, E., & Sabot, F. (2021). Rice pests in the Republic of Benin: Farmers’ perceptions, knowledge and management practices. Pest Management Science, 77(11), 5058–5071. https://doi.org/10.1002/ps.6546   

Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2), 127–150. https://doi.org/10.1016/0034-4257(79)90013-0