{"query_echo":{"q":"","filters":{"analysis_type":["spatial consistency assessment"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'spatial consistency assessment' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=spatial+consistency+assessment","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"bc3res-000198","url":"https://climateinsightsdirectory.org/document/bc3res-000198","title":"Land use and land cover databases for Mediterranean landscape analysis at the watershed scale","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2021-08","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20220119082323994153346.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study evaluates seven LULC products—CORINE, S2GLC, LUCAS, a LUCAS-based Landsat map, SIOSE, SIGPAC, and a custom Landsat/CORINE map—for the El Mijares watershed. It finds that no single product provides all necessary LULC details, with raster maps showing only 45.5% overall spatial consistency. While CORINE offers the longest time-series, the authors suggest that extending a Landsat/CORINE approach to the full Landsat series is the most suitable for long-term watershed analysis.","ai_generated":true,"unit":"bc3res-000198#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The overall spatial consistency among the four evaluated raster LULC maps (CORINE, S2GLC, Landsat/LUCAS, and Landsat/CORINE) is relatively low, at 45.5% (+4.8%).","ai_generated":true,"unit":"bc3res-000198#insight-1","date_modified":"2026-10-23"},{"text":"Forests and shrublands are the dominant land covers in the El Mijares watershed, though their exact proportions vary significantly across different LULC products.","ai_generated":true,"unit":"bc3res-000198#insight-2","date_modified":"2026-10-23"},{"text":"The LUCAS database is the most effective for characterizing specific land uses, such as identifying that half of pine trees and a third of broadleaved forests are used for forestry, a level of detail absent in other products.","ai_generated":true,"unit":"bc3res-000198#insight-3","date_modified":"2026-10-23"},{"text":"S2GLC provides high spatial resolution (10 m) but fails to accurately classify agricultural land uses in the lower watershed, specifically misclassifying citrus plantations as vineyards.","ai_generated":true,"unit":"bc3res-000198#insight-4","date_modified":"2026-10-23"},{"text":"SIGPAC is the only database providing detailed agricultural parcel-scale data and suggests that shrublands in the region are used for grazing, indicated by a high prevalence of shrubby pastures (36.1%) and silvopasture (15.6%).","ai_generated":true,"unit":"bc3res-000198#insight-5","date_modified":"2026-10-23"},{"text":"CORINE and LUCAS data indicate a temporal trend of expansion for mixed and coniferous forests at the expense of grasslands and agricultural areas, potentially driven by land abandonment and forestry subsidies.","ai_generated":true,"unit":"bc3res-000198#insight-6","date_modified":"2026-10-23"},{"text":"For long-term analysis of the El Mijares watershed, the authors conclude that extending the Landsat/CORINE map to the entire Landsat series (since 1984/1985) is the most suitable approach due to its superior spatial and temporal resolution.","ai_generated":true,"unit":"bc3res-000198#insight-7","date_modified":"2026-10-23"}],"climate_tags":["ecosystem service","remote sensing","Sustainable land management"],"geography_discussed":["Valencia","Europe"],"frame_perspective":[],"analysis_type":["comparative analysis","spatial consistency assessment"]}]}