{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T21:08:44Z","timestamp":1774645724888,"version":"3.50.1"},"reference-count":52,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T00:00:00Z","timestamp":1575590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Monitoring progress towards the 2030 Development Agenda requires the combination of traditional and new data sources in innovative workflows to maximize the generation of relevant information. We present the results of a participatory and data-driven land degradation assessment process at a national scale, which includes use of earth observation (EO) data, cloud computing, and expert knowledge for Argentina. Six different primary productivity trend maps were produced from a time series of the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset (2000\u20132018), including the most widely used trajectory approach and five alternative methods, which include information on the timing and magnitude of the changes. To identify the land productivity trend map which best represented ground conditions, an online application was developed, allowing 190 experts to choose the most representative result for their region of expertise nationwide. Additionally, the ability to detect decreases in land productivity of each method was assessed in 43,614 plots where deforestation had been recorded. The widely used trajectory indicator was the one selected by most experts as better reflecting changes in land condition. When comparing indicators\u2019 performance to identify deforestation-driven reductions in productivity, the Step-Wise Approach Trend Index (SWATI), which integrates short- and long-term trends, was the one which performed the best. On average, decreases of land productivity indicate that 20% of the Argentine territory has experienced degradation processes between 2000 and 2018. The participatory data generation and verification workflow developed and tested here represents an innovative low cost, simple, and fast way to validate maps of vegetation trends and other EO-derived indicators, supporting the monitoring of progress towards land degradation neutrality by 2030.<\/jats:p>","DOI":"10.3390\/rs11242918","type":"journal-article","created":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T10:41:44Z","timestamp":1575628904000},"page":"2918","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Combining Earth Observations, Cloud Computing, and Expert Knowledge to Inform National Level Degradation Assessments in Support of the 2030 Development Agenda"],"prefix":"10.3390","volume":"11","author":[{"given":"Ingrid","family":"Teich","sequence":"first","affiliation":[{"name":"Unidad de Estudios Agropecuarios (CONICET-INTA) Camino 60 cuadras km 5.5 (5119), C\u00f3rdoba X5020ICA, Argentina"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7114-6558","authenticated-orcid":false,"given":"Mariano","family":"Gonzalez Roglich","sequence":"additional","affiliation":[{"name":"Betty and Gordon Moore Center for Science, Conservation International, 2011 Crystal Drive, Suite 500, Arlington, VA 22202, USA"}]},{"given":"Mar\u00eda Laura","family":"Corso","sequence":"additional","affiliation":[{"name":"Direcci\u00f3n Nacional de Planificaci\u00f3n y Ordenamiento Ambiental del Territorio. Secretar\u00eda de Ambiente y Desarrollo Sustentable de Argentina. San Mart\u00edn 451, Ciudad Aut\u00f3noma de Buenos Aires C1004AAI, Argentina"}]},{"given":"C\u00e9sar Luis","family":"Garc\u00eda","sequence":"additional","affiliation":[{"name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), C\u00f3rdoba C1425FQB, Argentina"},{"name":"Instituto Nacional del Agua, Centro de la Regi\u00f3n Semi\u00e1rida (INA-CIRSA), Medrano 235, C\u00f3rdoba X5152MCE, Argentina"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,6]]},"reference":[{"key":"ref_1","unstructured":"Lal, R., Safriel, U., and Boer, B. (2012). Zero Net Land Degradation: A New Sustainable Development Goal for Rio+ 20, UNCCD. A report prepared for the Secretariat of the United Nations Convention to Combat Desertification."},{"key":"ref_2","unstructured":"ELD Initiative (2019, July 13). 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