Matches in SemOpenAlex for { <https://semopenalex.org/work/W3130488818> ?p ?o ?g. }
- W3130488818 endingPage "3379" @default.
- W3130488818 startingPage "3353" @default.
- W3130488818 abstract "Cloud is complicated due to its various types and distribution on different layers. Various classification principles and overlapping of clouds on multiple layers make it difficult to classify clouds correctly. A cloud classification method based on random forest (RF) for FengYun-4A (FY-4A) is presented in this paper, aiming at obtaining cloud classification products with high temporal resolution and extensive coverage. The method classifies clouds into multi-layer clouds and 8 categories of single-layer clouds (Deep convective cloud, Nimbostratus, Cumulus, Stratocumulus, Stratus, Altocumulus, Altostratus and Cirrus). Additionally, multi-layer clouds are further classified into 12 categories of two-layer clouds (combinations of 8 single-layer clouds). CloudSat cloud classification products are used as the target class and to evaluate the method. In order to classify clouds correctly, it is necessary to capture cloud properties comprehensively. Thus we perform comparative pre-experiments to analyse the effects of FY-4A cloud products on cloud classification. It is demonstrated that clouds products can improve cloud classification. Therefore, cloud optical thickness (COT), cloud effective radius (CER) and cloud top height (CTH) are used as dataset together with multispectral data in cloud classification. Cloud classification models based on different algorithms and different channels combinations are compared. The results show that RF models perform better than K-Nearest Neighbour (KNN) models and Back Propagation Neural Network (BPNN) models in cloud classification, and models using all channels’ data perform better than models using data of selected channels combination. The method can provide cloud types and distribution for a FY-4A scan full disk in low time cost. Especially, it gives more specific types for multi-layer clouds, which can provide reference for subsequent research on cloud classification and FY-4A satellite." @default.
- W3130488818 created "2021-03-01" @default.
- W3130488818 creator A5006120459 @default.
- W3130488818 creator A5008143751 @default.
- W3130488818 creator A5012843208 @default.
- W3130488818 creator A5026003650 @default.
- W3130488818 creator A5076767097 @default.
- W3130488818 creator A5091195135 @default.
- W3130488818 date "2021-02-11" @default.
- W3130488818 modified "2023-10-16" @default.
- W3130488818 title "A cloud classification method based on random forest for FY-4A" @default.
- W3130488818 cites W1498436455 @default.
- W3130488818 cites W1969925700 @default.
- W3130488818 cites W2007816868 @default.
- W3130488818 cites W2013428977 @default.
- W3130488818 cites W2016274047 @default.
- W3130488818 cites W2046734602 @default.
- W3130488818 cites W2050787596 @default.
- W3130488818 cites W2053329290 @default.
- W3130488818 cites W2055308682 @default.
- W3130488818 cites W2061008992 @default.
- W3130488818 cites W2063032378 @default.
- W3130488818 cites W2076969699 @default.
- W3130488818 cites W2088514945 @default.
- W3130488818 cites W2119152356 @default.
- W3130488818 cites W2122111042 @default.
- W3130488818 cites W2128560595 @default.
- W3130488818 cites W2144991971 @default.
- W3130488818 cites W2153221075 @default.
- W3130488818 cites W2516149760 @default.
- W3130488818 cites W2567628229 @default.
- W3130488818 cites W2591897750 @default.
- W3130488818 cites W2606436201 @default.
- W3130488818 cites W2624781867 @default.
- W3130488818 cites W2764112593 @default.
- W3130488818 cites W2783140869 @default.
- W3130488818 cites W2802828972 @default.
- W3130488818 cites W2889664744 @default.
- W3130488818 cites W2906853545 @default.
- W3130488818 cites W2908603759 @default.
- W3130488818 cites W2911964244 @default.
- W3130488818 cites W2925291093 @default.
- W3130488818 cites W2931508776 @default.
- W3130488818 cites W2944195757 @default.
- W3130488818 cites W2948277285 @default.
- W3130488818 cites W2953599446 @default.
- W3130488818 cites W2957608416 @default.
- W3130488818 cites W2963979049 @default.
- W3130488818 cites W2998197160 @default.
- W3130488818 cites W3014417905 @default.
- W3130488818 cites W851385087 @default.
- W3130488818 doi "https://doi.org/10.1080/01431161.2020.1871098" @default.
- W3130488818 hasPublicationYear "2021" @default.
- W3130488818 type Work @default.
- W3130488818 sameAs 3130488818 @default.
- W3130488818 citedByCount "4" @default.
- W3130488818 countsByYear W31304888182022 @default.
- W3130488818 countsByYear W31304888182023 @default.
- W3130488818 crossrefType "journal-article" @default.
- W3130488818 hasAuthorship W3130488818A5006120459 @default.
- W3130488818 hasAuthorship W3130488818A5008143751 @default.
- W3130488818 hasAuthorship W3130488818A5012843208 @default.
- W3130488818 hasAuthorship W3130488818A5026003650 @default.
- W3130488818 hasAuthorship W3130488818A5076767097 @default.
- W3130488818 hasAuthorship W3130488818A5091195135 @default.
- W3130488818 hasConcept C111919701 @default.
- W3130488818 hasConcept C121332964 @default.
- W3130488818 hasConcept C124101348 @default.
- W3130488818 hasConcept C127313418 @default.
- W3130488818 hasConcept C153294291 @default.
- W3130488818 hasConcept C154945302 @default.
- W3130488818 hasConcept C169258074 @default.
- W3130488818 hasConcept C199194280 @default.
- W3130488818 hasConcept C205649164 @default.
- W3130488818 hasConcept C2779406902 @default.
- W3130488818 hasConcept C2781448682 @default.
- W3130488818 hasConcept C39432304 @default.
- W3130488818 hasConcept C41008148 @default.
- W3130488818 hasConcept C62520636 @default.
- W3130488818 hasConcept C62649853 @default.
- W3130488818 hasConcept C79974875 @default.
- W3130488818 hasConcept C98444146 @default.
- W3130488818 hasConceptScore W3130488818C111919701 @default.
- W3130488818 hasConceptScore W3130488818C121332964 @default.
- W3130488818 hasConceptScore W3130488818C124101348 @default.
- W3130488818 hasConceptScore W3130488818C127313418 @default.
- W3130488818 hasConceptScore W3130488818C153294291 @default.
- W3130488818 hasConceptScore W3130488818C154945302 @default.
- W3130488818 hasConceptScore W3130488818C169258074 @default.
- W3130488818 hasConceptScore W3130488818C199194280 @default.
- W3130488818 hasConceptScore W3130488818C205649164 @default.
- W3130488818 hasConceptScore W3130488818C2779406902 @default.
- W3130488818 hasConceptScore W3130488818C2781448682 @default.
- W3130488818 hasConceptScore W3130488818C39432304 @default.
- W3130488818 hasConceptScore W3130488818C41008148 @default.
- W3130488818 hasConceptScore W3130488818C62520636 @default.
- W3130488818 hasConceptScore W3130488818C62649853 @default.
- W3130488818 hasConceptScore W3130488818C79974875 @default.