FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904960146> ?p ?o ?g. }

• W2904960146 endingPage "2057" @default.
• W2904960146 startingPage "2057" @default.
• W2904960146 abstract "Mapping the spatial and temporal dynamics of cropland is an important prerequisite for regular crop condition monitoring, management of land and water resources, or tracing and understanding the environmental impacts of agriculture. Analyzing archives of satellite earth observations is a proven means to accurately identify and map croplands. However, existing maps of the annual cropland extent either have a low spatial resolution (e.g., 250–1000 m from Advanced Very High Resolution Radiometer (AVHRR) to Moderate-resolution Imaging Spectroradiometer (MODIS); and existing high-resolution maps (such as 30 m from Landsat) are not provided frequently (for example, on a regular, annual basis) because of the lack of in situ reference data, irregular timing of the Landsat and Sentinel-2 image time series, the huge amount of data for processing, and the need to have a regionally or globally consistent methodology. Against this backdrop, we propose a reference time-series-based mapping method (RBM), and create binary cropland vs. non-cropland maps using irregular Landsat time series and RBM. As a test case, we created and evaluated annual cropland maps at 30 m in seven distinct agricultural landscapes in Xinjiang, China, and the Aral Sea Basin. The results revealed that RBM could accurately identify cropland annually, with producer’s accuracies (PA) and user’s accuracies (UA) higher than 85% between 2006 and 2016. In addition, cropland maps by RBM were significantly more accurate than the two existing products, namely GlobaLand30 and Finer Resolution Observation and Monitoring of Global Land Cover (FROM–GLC)." @default.
• W2904960146 created "2018-12-22" @default.
• W2904960146 creator A5015672094 @default.
• W2904960146 creator A5021550468 @default.
• W2904960146 creator A5091004151 @default.
• W2904960146 date "2018-12-18" @default.
• W2904960146 modified "2023-10-06" @default.
• W2904960146 title "Annual Cropland Mapping Using Reference Landsat Time Series—A Case Study in Central Asia" @default.
• W2904960146 cites W1509768097 @default.
• W2904960146 cites W1963768209 @default.
• W2904960146 cites W1969214006 @default.
• W2904960146 cites W1969589719 @default.
• W2904960146 cites W1976129996 @default.
• W2904960146 cites W1978617972 @default.
• W2904960146 cites W1980058571 @default.
• W2904960146 cites W1987765283 @default.
• W2904960146 cites W1987882549 @default.
• W2904960146 cites W1995274255 @default.
• W2904960146 cites W1998281138 @default.
• W2904960146 cites W2000285770 @default.
• W2904960146 cites W2001510610 @default.
• W2904960146 cites W2001728294 @default.
• W2904960146 cites W2006929658 @default.
• W2904960146 cites W2025507611 @default.
• W2904960146 cites W2027620944 @default.
• W2904960146 cites W2029945928 @default.
• W2904960146 cites W2030165874 @default.
• W2904960146 cites W2037915846 @default.
• W2904960146 cites W2040168047 @default.
• W2904960146 cites W2045095960 @default.
• W2904960146 cites W2055718260 @default.
• W2904960146 cites W2057479110 @default.
• W2904960146 cites W2075810164 @default.
• W2904960146 cites W2106256460 @default.
• W2904960146 cites W2111974868 @default.
• W2904960146 cites W2121025662 @default.
• W2904960146 cites W2138973222 @default.
• W2904960146 cites W2166516660 @default.
• W2904960146 cites W2168481151 @default.
• W2904960146 cites W2178470810 @default.
• W2904960146 cites W2224309144 @default.
• W2904960146 cites W2282373758 @default.
• W2904960146 cites W2298381869 @default.
• W2904960146 cites W2314721381 @default.
• W2904960146 cites W2354088966 @default.
• W2904960146 cites W2438450043 @default.
• W2904960146 cites W2483202583 @default.
• W2904960146 cites W2563159472 @default.
• W2904960146 cites W2587417679 @default.
• W2904960146 cites W2596671123 @default.
• W2904960146 cites W2725897987 @default.
• W2904960146 cites W2750050355 @default.
• W2904960146 cites W2766727660 @default.
• W2904960146 cites W2774638801 @default.
• W2904960146 cites W2787791588 @default.
• W2904960146 cites W2911964244 @default.
• W2904960146 doi "https://doi.org/10.3390/rs10122057" @default.
• W2904960146 hasPublicationYear "2018" @default.
• W2904960146 type Work @default.
• W2904960146 sameAs 2904960146 @default.
• W2904960146 citedByCount "21" @default.
• W2904960146 countsByYear W29049601462019 @default.
• W2904960146 countsByYear W29049601462020 @default.
• W2904960146 countsByYear W29049601462021 @default.
• W2904960146 countsByYear W29049601462022 @default.
• W2904960146 countsByYear W29049601462023 @default.
• W2904960146 crossrefType "journal-article" @default.
• W2904960146 hasAuthorship W2904960146A5015672094 @default.
• W2904960146 hasAuthorship W2904960146A5021550468 @default.
• W2904960146 hasAuthorship W2904960146A5091004151 @default.
• W2904960146 hasBestOaLocation W29049601461 @default.
• W2904960146 hasConcept C108597893 @default.
• W2904960146 hasConcept C120665830 @default.
• W2904960146 hasConcept C121332964 @default.
• W2904960146 hasConcept C127413603 @default.
• W2904960146 hasConcept C130066347 @default.
• W2904960146 hasConcept C146978453 @default.
• W2904960146 hasConcept C147176958 @default.
• W2904960146 hasConcept C19269812 @default.
• W2904960146 hasConcept C205649164 @default.
• W2904960146 hasConcept C2777007095 @default.
• W2904960146 hasConcept C2777480484 @default.
• W2904960146 hasConcept C2780648208 @default.
• W2904960146 hasConcept C39432304 @default.
• W2904960146 hasConcept C4792198 @default.
• W2904960146 hasConcept C62649853 @default.
• W2904960146 hasConceptScore W2904960146C108597893 @default.
• W2904960146 hasConceptScore W2904960146C120665830 @default.
• W2904960146 hasConceptScore W2904960146C121332964 @default.
• W2904960146 hasConceptScore W2904960146C127413603 @default.
• W2904960146 hasConceptScore W2904960146C130066347 @default.
• W2904960146 hasConceptScore W2904960146C146978453 @default.
• W2904960146 hasConceptScore W2904960146C147176958 @default.
• W2904960146 hasConceptScore W2904960146C19269812 @default.
• W2904960146 hasConceptScore W2904960146C205649164 @default.
• W2904960146 hasConceptScore W2904960146C2777007095 @default.
• W2904960146 hasConceptScore W2904960146C2777480484 @default.
• W2904960146 hasConceptScore W2904960146C2780648208 @default.

• next