{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:58:20Z","timestamp":1761490700129,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,11,24]],"date-time":"2018-11-24T00:00:00Z","timestamp":1543017600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["689443"],"award-info":[{"award-number":["689443"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Forests represent important habitats for species and provide multiple ecosystem services for human well-being. Preserving forests and other terrestrial ecosystems has become crucial to halt desertification, land degradation, and biodiversity loss worldwide, and is also one of the Sustainable Development Goals (SDGs) to be achieved by 2030. Remote sensing could greatly contribute to measuring progress toward SDGs by providing consistent and repetitive coverage of large areas, as well as information in various wavelengths, which facilitates the monitoring of environmental trends at various scales. This paper focuses on SDG indicator 15.1.1\u2014\u201cForest area as a percentage of total land area\u201d to demonstrate the potential of Earth Observation Data Cubes for SDGs. The approach presented here uses Landsat Analysis Ready Data (ARD) stored in the Swiss Data Cube, and offers a complementary method to ground-based approaches to monitor Switzerland\u2019s forest extent based on the Normalized Difference Vegetation Index (NDVI). The proposed method performs time-series analyses to extract a forest\/non-forest map and a graph representing the trend of SDG 15.1.1 indicator over time. Preliminary results suggest that this approach can identify similar forest extent and growth patterns to observed trends, and can therefore help monitor progress toward the selected SDG indicator more effectively.<\/jats:p>","DOI":"10.3390\/ijgi7120455","type":"journal-article","created":{"date-parts":[[2018,11,26]],"date-time":"2018-11-26T03:24:27Z","timestamp":1543202667000},"page":"455","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland"],"prefix":"10.3390","volume":"7","author":[{"given":"Erica","family":"Honeck","sequence":"first","affiliation":[{"name":"Institute for Environmental Sciences, EnviroSPACE Lab, University of Geneva, Bd Carl-Vogt 66, CH-1211 Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8242-6659","authenticated-orcid":false,"given":"Roberto","family":"Castello","sequence":"additional","affiliation":[{"name":"Experimental Physics Department, CERN, CH-1211 Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno","family":"Chatenoux","sequence":"additional","affiliation":[{"name":"Institute for Environmental Sciences, University of Geneva, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Philippe","family":"Richard","sequence":"additional","affiliation":[{"name":"Institute for Environmental Sciences, University of Geneva, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8279-8567","authenticated-orcid":false,"given":"Anthony","family":"Lehmann","sequence":"additional","affiliation":[{"name":"Institute for Environmental Sciences, EnviroSPACE Lab, University of Geneva, Bd Carl-Vogt 66, CH-1211 Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1825-8865","authenticated-orcid":false,"given":"Gregory","family":"Giuliani","sequence":"additional","affiliation":[{"name":"Institute for Environmental Sciences, University of Geneva, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,24]]},"reference":[{"key":"ref_1","unstructured":"United Nations Statistics Division (UNSD) (2016). Sustainable Development Goals Report, UNSD."},{"key":"ref_2","unstructured":"United Nations (2018, June 13). SDG Indicators. Available online: https:\/\/unstats.un.org."},{"key":"ref_3","unstructured":"UNECE (2018, October 10). Joint UNECE\/Eurostat\/OECD Working Group on Statistics on Sustainable Development. Available online: https:\/\/www.unece.org\/stats\/groups\/wgssd.tor.html."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/17538947.2016.1264490","article-title":"Big Earth Data: A new challenge and opportunity for Digital Earth\u2019s development","volume":"10","author":"Guo","year":"2017","journal-title":"Int. J. Digit. Earth"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/20964471.2017.1397411","article-title":"The challenges of a Big Data Earth","volume":"2","author":"Boulton","year":"2018","journal-title":"Big Earth Data"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.rse.2017.05.040","article-title":"Live monitoring of earth surface (LiMES): A framework for monitoring environmental changes from earth observations","volume":"202","author":"Giuliani","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1080\/10095020.2017.1333230","article-title":"Earth observation in service of the 2030 Agenda for Sustainable Development","volume":"20","author":"Anderson","year":"2017","journal-title":"Geo-Spat. Inf. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1080\/17538947.2015.1111952","article-title":"Rapid, high-resolution detection of environmental change over continental scales from satellite data\u2014The Earth Observation Data Cube","volume":"9","author":"Lewis","year":"2016","journal-title":"Int. J. Digit. Earth"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.grj.2015.02.010","article-title":"Unlocking the Australian Landsat Archive\u2014From dark data to High Performance Data infrastructures","volume":"6","author":"Purss","year":"2015","journal-title":"GeoResJ"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1126\/science.320.5879.1011a","article-title":"Free Access to Landsat Imagery","volume":"320","author":"Woodcock","year":"2008","journal-title":"Science"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1080\/20964471.2017.1398903","article-title":"Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)","volume":"1","author":"Giuliani","year":"2017","journal-title":"Big Earth Data"},{"key":"ref_12","unstructured":"Group on Earth Observations (GEO) (2017). Earth Observations in Support of the 2030 Agenda for Sustainable Development, Japan Aerospace Exploration Agency (JAXA) on Behalf of GEO under the EO4SDG Initiative."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1126\/science.aaf2295","article-title":"Improvements in ecosystem services from investments in natural capital","volume":"352","author":"Ouyang","year":"2016","journal-title":"Science"},{"key":"ref_14","unstructured":"World Resources Institute (2018, October 09). Forests and SDGs: Taking a Second Look|World Resources Institute. Available online: https:\/\/www.wri.org\/blog\/2017\/09\/forests-and-sdgs-taking-second-look."},{"key":"ref_15","unstructured":"Yengoh, G.T., Dent, D., Olsson, L., Tengberg, A.E., and Tucker, C.J. (2014). The Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales: A Review of the Current Status, Future Trends, and Practical Considerations, Lund University Center for Sustainability Studies (LUCSUS) and the Scientific and Technical Advisory Panel of the Global Environment Facility (STAP\/GEF)."},{"key":"ref_16","unstructured":"Rouse, J.W. (1972). Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation."},{"key":"ref_17","unstructured":"Rouse, J., Haas, R.H., Schell, J.A., and Deering, D.W. (1974). Monitoring Vegetation Systems in the Great Plains with ERTS."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"RColditz, R., Ressl, R.A., and Bonilla-Moheno, M. (2015, January 22\u201324). Trends in 15-year MODIS NDVI time series for Mexico. Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp), Annecy, France.","DOI":"10.1109\/Multi-Temp.2015.7245766"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Ceroni, M., Achkar, M., Gazzano, I., and Burgue\u00f1o, J. (2015). Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998\u20132012 in Uruguay. Rev. Teledetec., 31\u201342.","DOI":"10.4995\/raet.2015.3683"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.isprsjprs.2018.08.007","article-title":"Big earth observation time series analysis for monitoring Brazilian agriculture","volume":"145","author":"Picoli","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.jaridenv.2014.09.001","article-title":"Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia","volume":"113","author":"Eckert","year":"2015","journal-title":"J. Arid Environ."},{"key":"ref_22","unstructured":"Schubarth, C., IC Infraconsult AG, Weibel, F., and OFS (2013). L\u2019utilisation du sol en Suisse\u2013R\u00e9sultats de la statistique de la superficie, Office f\u00e9d\u00e9ral de la statistique (OFS)."},{"key":"ref_23","unstructured":"IFN (2018, February 18). L\u2019inventaire forestier national suisse (IFN). Available online: https:\/\/www.lfi.ch\/lfi\/lfi-fr.php."},{"key":"ref_24","unstructured":"FAO of the UN (2018, June 15). FRA 2000 on Definitions of Forest and Forest Change. Available online: http:\/\/www.fao.org\/docrep\/006\/ad665e\/ad665e00.htm#TopOfPage."},{"key":"ref_25","unstructured":"VanderPlas, J. (2016). Python Data Science Handbook: Essential Tools for Working with Data, O\u2019Reilly Media, Inc."},{"key":"ref_26","unstructured":"(2018, April 18). Office F\u00e9d\u00e9ral de l\u2019Environnement OFEV, \u201cDivision For\u00eats. Available online: https:\/\/www.bafu.admin.ch\/bafu\/fr\/home\/office\/divisions-sections\/division-forets.html."},{"key":"ref_27","unstructured":"Canton de Gen\u00e8ve (2018, April 18). For\u00eat|Nature. Available online: http:\/\/ge.ch\/nature\/foret."},{"key":"ref_28","unstructured":"R\u00e9publique et Canton du Jura (2018, August 22). For\u00eats jurassiennes\u2014R\u00e9publique et Canton du Jura. Available online: https:\/\/www.jura.ch\/DEN\/ENV\/Forets\/Forets-jurassiennes.html."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1071\/WF01031","article-title":"Accuracy assessment and validation of remotely sensed and other spatial information","volume":"10","author":"Congalton","year":"2001","journal-title":"Int. J. Wildland Fire"},{"key":"ref_30","unstructured":"SITG (2018, April 18). Cartes professionnelles|SITG. Available online: https:\/\/ge.ch\/sitg\/cartes\/professionnelles."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1111\/dech.12360","article-title":"\u2018There Was A Third Man\u2026\u2019: Tales from a Global Policy Consultation on Indicators for the Sustainable Development Goals-Desai-2018-Development and Change","volume":"49","author":"Desai","year":"2017","journal-title":"Dev. Chang."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1177\/0956247816684763","article-title":"\u2018Don\u2019t call me resilient again!\u2019: The New Urban Agenda as immunology \u2026 or \u2026 what happens when communities refuse to be vaccinated with \u2018smart cities\u2019 and indicators","volume":"29","author":"Kaika","year":"2017","journal-title":"Environ. Urban."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Robinson, N.P., Allred, B.W., Jones, M.O., Moreno, A., Kimball, J.S., Naugle, D.E., Erickson, T.A., and Richardson, A.D. (2017). A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States. Remote Sens., 9.","DOI":"10.3390\/rs9080863"},{"key":"ref_34","first-page":"291","article-title":"Potentials and Limitations of NDVI and other Vegetation Indices (VIS) for Monitoring Vegetation Parameters from Remotely Sensed Data","volume":"7","author":"Redowan","year":"2012","journal-title":"Bangladesh Res. Pub. J."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Baniya, B., Tang, Q., Huang, Z., Sun, S., and Techato, K.A. (2018). Spatial and Temporal Variation of NDVI in Response to Climate Change and the Implication for Carbon Dynamics in Nepal. Forests, 9.","DOI":"10.3390\/f9060329"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.rse.2018.04.008","article-title":"Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland","volume":"211","author":"Schmidt","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_37","first-page":"259","article-title":"Landsat 8 vs. Landsat 5: A comparison based on urban and peri-urban land cover mapping","volume":"35","author":"Poursanidis","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2113","DOI":"10.3390\/rs5052113","article-title":"Trend change detection in NDVI time series: Effects of inter-annual variability and methodology","volume":"5","author":"Forkel","year":"2013","journal-title":"Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"5409","DOI":"10.1080\/01431160600830748","article-title":"Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks","volume":"27","author":"Cuevas","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.rse.2006.01.003","article-title":"Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction","volume":"101","author":"Jiang","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.rse.2018.04.031","article-title":"Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences","volume":"215","author":"Zhang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_42","unstructured":"European Space Agency (2018). Satellite Earth Observations in Support of the Sustainable Development Goals\u2014Special 2018 Edition, European Space Agency."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/7\/12\/455\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:31:52Z","timestamp":1760196712000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/7\/12\/455"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,24]]},"references-count":42,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2018,12]]}},"alternative-id":["ijgi7120455"],"URL":"https:\/\/doi.org\/10.3390\/ijgi7120455","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2018,11,24]]}}}