Neil Sims holds a PhD from the University of Canberra in Environmental Science and has extensive experience leading national and international projects using remote sensing to track plant growth and environmental changes. He has worked on methods to help countries report on the United Nations Sustainable Development Goals (UNSDGs) and to monitor crop diseases from satellites. He serves as co-chair of the GEO-LDN Flagship and is currently working for the NCVC in Saudi Arabia.
Neil kindly shared some of his Publications with the GEO-LDN community:
- Sims, N. C., Barger, N. N., Metternicht, G. I., & England, J. R. (2020). A land degradation interpretation matrix for reporting on UN SDG indicator 15.3. 1 and land degradation neutrality. Environmental Science & Policy, 114, 1-6. (A land degradation interpretation matrix for reporting on UN SDG indicator 15.3.1 and land degradation neutrality – ScienceDirect).
- Sims, N. C., England, J. R., Newnham, G. J., Alexander, S., Green, C., Minelli, S., & Held, A. (2019). Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals. Environmental Science & Policy, 92, 349-355. (Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals – ScienceDirect).
- Sims, N. C., Newnham, G. J., England, J. R., Guerschman, J., Cox, S. J. D., Roxburgh, S. H., … & Wheeler, I. (2021). Good practice guidance. SDG indicator, 15(1), 2021-03. (researchgate.net/profile/Raphael-Viscarra-Rossel/publication/355060113_Good_Practice_Guidance_SDG_Indicator_1531_Proportion_of_Land_That_Is_Degraded_Over_Total_Land_Area/links/615c275f5a481543a87f0054/Good-Practice-Guidance-SDG-Indicator-1531-Proportion-of-Land-That-Is-Degraded-Over-Total-Land-Area.pdf)
