Publicaciones
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Arnold S., Jun C., Olav E. 2019. Global and Complementary (Non-authoritative) Geospatial Data for SDGs: Role and Utilisation. Report produced jointly by the Task Team on Global Data and Task Team on Alternative Data Sources by the Working Group on Geospatial Information of the Inter-agency and Expert Group on Sustainable Development Goal Indicators (IAEG-SDGs). http://ggim.un.org/documents/Report_Global_and_Complementary_Geospatial_Data_for_SDGs.pdf
Dong, J., Metternicht, G., Hostert, P., Fensholt, R., Chowdhury, R.R., 2019. Remote sensing and geospatial technologies in support of a normative land system science: status and prospects. Curr. Opin. Environ. Sustain. 38, 44–52. https://doi.org/10.1016/j.cosust.2019.05.003
Easdale, M.H., Fariña, C., Hara, S., Pérez León, N., Umaña, F., Tittonell, P., Bruzzone, O., 2019. Trend-cycles of vegetation dynamics as a tool for land degradation assessment and monitoring. Ecol. Indic. 107, 105545. https://doi.org/10.1016/j.ecolind.2019.105545
Giuliani, G., Chatenoux, B., Benvenuti, A., Lacroix, P., Santoro, M., Mazzetti, P., 2020a. Monitoring land degradation at national level using satellite Earth Observation time-series data to support SDG15 – exploring the potential of data cube. Big Earth Data 4, 3–22. https://doi.org/10.1080/20964471.2020.1711633
Giuliani, G., Mazzetti, P., Santoro, M., Nativi, S., Van Bemmelen, J., Colangeli, G., Lehmann, A., 2020b. Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation. Int. J. Appl. Earth Obs. Geoinformation 88, 102068. https://doi.org/10.1016/j.jag.2020.102068
Gonzalez-Roglich, M., Zvoleff, A., Noon, M., Liniger, H., Fleiner, R., Harari, N., Garcia, C., 2019. Synergizing global tools to monitor progress towards land degradation neutrality: Trends.Earth and the World Overview of Conservation Approaches and Technologies sustainable land management database. Environ. Sci. Policy 93, 34–42. https://doi.org/10.1016/j.envsci.2018.12.019
Kust, G.S., Andreeva, O.V., Lobkovskiy, V.A., 2020. Land Degradation Neutrality: the Modern Approach to Research on Arid Regions at the National Level. Arid Ecosyst. 10, 87–92.
Li, Z., Lun, F., Liu, M., Xiao, X., Wang, C., Wang, L., Xu, Y., Qi, W., Sun, D., 2021. Rapid diagnosis of agricultural soil health: A novel soil health index based on natural soil productivity and human management. J. Environ. Manage. 277, 111402. https://doi.org/10.1016/j.jenvman.2020.111402
Liniger, H., Harari, N., van Lynden, G., Fleiner, R., de Leeuw, J., Bai, Z., Critchley, W., 2019. Achieving land degradation neutrality: The role of SLM knowledge in evidence-based decision-making. Environ. Sci. Policy 94, 123–134. https://doi.org/10.1016/j.envsci.2019.01.001 https://doi.org/10.1134/S2079096120020092
Mariathasan, V., Bezuidenhoudt, E., Olympio, K.R., 2019. Evaluation of Earth Observation Solutions for Namibia’s SDG Monitoring System. Remote Sens. 11, 1612. https://doi.org/10.3390/rs11131612
Meyer, D. & Riechert, M. Open source QGIS toolkit for the Advanced Research WRF modelling system. Environmental Modelling & Software 112, 166–178 (2019). https://www.sciencedirect.com/science/article/pii/S1364815218304523
Prakash, M., Ramage, S., Kavvada, A., Goodman, S., 2020. Open Earth Observations for Sustainable Urban Development. Remote Sens. 12, 1646. https://doi.org/10.3390/rs12101646
Sims, N. C. et al. Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals. Environmental Science & Policy 92, 349–355 (2019). https://www.sciencedirect.com/science/article/pii/S1462901118305768
Teich, I., Gonzalez Roglich, M., Corso, M.L., García, C.L., 2019. Combining Earth Observations, Cloud Computing, and Expert Knowledge to Inform National Level Degradation Assessments in Support of the 2030 Development Agenda. Remote Sens. 11, 2918. https://doi.org/10.3390/rs11242918
Timm Hoffman, M., Skowno, A., Bell, W. & Mashele, S. Long-term changes in land use, land cover and vegetation in the Karoo drylands of South Africa: implications for degradation monitoring. African Journal of Range & Forage Science 35, 209–221 (2018). https://www.tandfonline.com/doi/abs/10.2989/10220119.2018.1516237
Venter, Z.S., Scott, S.L., Desmet, P.G., Hoffman, M.T., 2020. Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration. Ecol. Indic. 113, 106206. https://doi.org/10.1016/j.ecolind.2020.106206
von Maltitz, G.P., Gambiza, J., Kellner, K., Rambau, T., Lindeque, L., Kgope, B., 2019. Experiences from the South African land degradation neutrality target setting process. Environ. Sci. Policy 101, 54–62. https://doi.org/10.1016/j.envsci.2019.07.003