Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313151065> ?p ?o ?g. }
- W4313151065 endingPage "984" @default.
- W4313151065 startingPage "966" @default.
- W4313151065 abstract "Abstract Cropland cover datasets is of great significance for research on agricultural monitoring. The existing investigations on the inconsistency of different cropland datasets have mainly focused on first-class cropland and only analyzed the causes of this inconsistency in terms of cartography. To date, investigations have neglected the importance of fine cropland types in studies such as global food security assessment, and a comprehensive analysis of the causes of inconsistency from the perspectives of both cartography and geography is lacking. Moreover, the verification samples of existing studies have primarily been collected based on Google Earth. So, we examined the cropland resources of Cambodia using areal, spatial consistency, elevation classification, and field survey data assessment methods for the Global Food Security-support Analysis Data at 30 m for Southeast Asia, Global Land Cover Fine Surface Cover30-2015, Finer Resolution Observation and Monitoring of Global Land Cover2015, and SERVIR-Mekong datasets and comprehensively investigated the causes of inconsistency in terms of geography and cartography. The results revealed that the consistency of the extracted areas of first-class cropland among the four datasets was high. But, the cropland areas and statistical results from the Food and Agriculture Organization (FAO) of the United Nations are quite different. The overall accuracy (OA) for the first-class cropland of GFSAD30SEACE, GLC_FCS30-2015, and SERVIR-Mekong datasets were >82%. For fine cropland types, however, the OA of the SERVIR-Mekong dataset was relatively high, at 74.87%, while the accuracy levels of the global-scale GLC_FCS30-2015 and FROM_GLC2015 datasets were <50% due to the influence of scale size on mapping accuracy. In addition, in the eastern and northern portions of Cambodia with elevations of 50–200 m, the spatial consistency of the four datasets was low due to the serious confusion between cropland and forest, grassland, and shrub types. Therefore, land cover producers should adopt a zonal stratification strategy, focusing on remote sensing extraction techniques for confusing types in areas with high inconsistency to improve the accuracy of cropland." @default.
- W4313151065 created "2023-01-06" @default.
- W4313151065 creator A5041878541 @default.
- W4313151065 creator A5042241049 @default.
- W4313151065 creator A5048975041 @default.
- W4313151065 date "2022-01-01" @default.
- W4313151065 modified "2023-09-26" @default.
- W4313151065 title "Geographic and cartographic inconsistency factors among different cropland classification datasets: A field validation case in Cambodia" @default.
- W4313151065 cites W1966722797 @default.
- W4313151065 cites W1971109292 @default.
- W4313151065 cites W1977271893 @default.
- W4313151065 cites W1980385468 @default.
- W4313151065 cites W1983248868 @default.
- W4313151065 cites W1988032609 @default.
- W4313151065 cites W1988590943 @default.
- W4313151065 cites W1992185994 @default.
- W4313151065 cites W1999211118 @default.
- W4313151065 cites W2000047929 @default.
- W4313151065 cites W2001510610 @default.
- W4313151065 cites W2006929658 @default.
- W4313151065 cites W2012950829 @default.
- W4313151065 cites W2013360540 @default.
- W4313151065 cites W2017107861 @default.
- W4313151065 cites W2021603915 @default.
- W4313151065 cites W2029945928 @default.
- W4313151065 cites W2035881173 @default.
- W4313151065 cites W2037778989 @default.
- W4313151065 cites W2037864342 @default.
- W4313151065 cites W2042692910 @default.
- W4313151065 cites W2043244602 @default.
- W4313151065 cites W2045672994 @default.
- W4313151065 cites W2059644815 @default.
- W4313151065 cites W2067055509 @default.
- W4313151065 cites W2070647518 @default.
- W4313151065 cites W2072268485 @default.
- W4313151065 cites W2077570405 @default.
- W4313151065 cites W2100469123 @default.
- W4313151065 cites W2110262553 @default.
- W4313151065 cites W2115769370 @default.
- W4313151065 cites W2138408852 @default.
- W4313151065 cites W2153820558 @default.
- W4313151065 cites W2169929747 @default.
- W4313151065 cites W2271894183 @default.
- W4313151065 cites W2340240230 @default.
- W4313151065 cites W2404000639 @default.
- W4313151065 cites W2463445076 @default.
- W4313151065 cites W2527347850 @default.
- W4313151065 cites W2583951697 @default.
- W4313151065 cites W2584198282 @default.
- W4313151065 cites W2596981200 @default.
- W4313151065 cites W2605546828 @default.
- W4313151065 cites W2681291745 @default.
- W4313151065 cites W2755053828 @default.
- W4313151065 cites W2768686265 @default.
- W4313151065 cites W2807393992 @default.
- W4313151065 cites W2885406917 @default.
- W4313151065 cites W2901950222 @default.
- W4313151065 cites W2922502341 @default.
- W4313151065 cites W2939992427 @default.
- W4313151065 cites W2943838191 @default.
- W4313151065 cites W2946293204 @default.
- W4313151065 cites W2951471051 @default.
- W4313151065 cites W3216164606 @default.
- W4313151065 cites W4212837428 @default.
- W4313151065 doi "https://doi.org/10.1515/geo-2022-0409" @default.
- W4313151065 hasPublicationYear "2022" @default.
- W4313151065 type Work @default.
- W4313151065 citedByCount "1" @default.
- W4313151065 countsByYear W43131510652023 @default.
- W4313151065 crossrefType "journal-article" @default.
- W4313151065 hasAuthorship W4313151065A5041878541 @default.
- W4313151065 hasAuthorship W4313151065A5042241049 @default.
- W4313151065 hasAuthorship W4313151065A5048975041 @default.
- W4313151065 hasBestOaLocation W43131510651 @default.
- W4313151065 hasConcept C100970517 @default.
- W4313151065 hasConcept C109007969 @default.
- W4313151065 hasConcept C118518473 @default.
- W4313151065 hasConcept C127313418 @default.
- W4313151065 hasConcept C151730666 @default.
- W4313151065 hasConcept C154945302 @default.
- W4313151065 hasConcept C166957645 @default.
- W4313151065 hasConcept C18903297 @default.
- W4313151065 hasConcept C202444582 @default.
- W4313151065 hasConcept C205649164 @default.
- W4313151065 hasConcept C2776436953 @default.
- W4313151065 hasConcept C2778755073 @default.
- W4313151065 hasConcept C2780648208 @default.
- W4313151065 hasConcept C3018204926 @default.
- W4313151065 hasConcept C33923547 @default.
- W4313151065 hasConcept C41008148 @default.
- W4313151065 hasConcept C4792198 @default.
- W4313151065 hasConcept C549605437 @default.
- W4313151065 hasConcept C58640448 @default.
- W4313151065 hasConcept C62649853 @default.
- W4313151065 hasConcept C86803240 @default.
- W4313151065 hasConcept C9652623 @default.
- W4313151065 hasConceptScore W4313151065C100970517 @default.
- W4313151065 hasConceptScore W4313151065C109007969 @default.