FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4213138908> ?p ?o ?g. }

• W4213138908 endingPage "104081" @default.
• W4213138908 startingPage "104081" @default.
• W4213138908 abstract "The research on the impact of land cover changes on the thermal environment is crucial to environmental monitoring. Land surface temperature (LST) is often used as the main parameter to analyze the thermal environment. As the primary land cover type, “cropland” is the main factor affecting the LST. Previous studies investigated the effects of cropland with other land cover types on the LST but ignored the changes within cropland. Furthermore, inter-annual changes of crop types in the cropland often occur. With the growth of the crops, their impact on LST also change. Therefore, it is necessary to understand how cropland changes affect the LST. The traditional comparison method based on a single time image is not suitable for evaluating the impact of the different crops during the whole growth period because single-phase information cannot reflect the changing process of crop influence. To address this issue, this paper proposes a cumulative land surface temperature index (cLST) based on multi-temporal images to evaluate the yearly impact of cropland changes. Results indicate that different crops have different effects on the thermal environment, and the annual cLST of cotton extracted from MODIS is higher than that of corn, sorghum, and winter wheat cropland. Also, the changing amplitude of the annual cLST is mainly related to the inter-annual cropland area ratio change (R = 0.85 for winter wheat to cotton, R = 0.75 for corn to cotton) in the study area, indicating that the overall change from corn and winter wheat to cotton cropland increases the annual cLST. The effect of cotton-sorghum and winter wheat-corn change is not significant. By comparing the contribution rate, it is found that the annual cLST is more affected by the cotton-winter wheat change (35%) than air temperature (26%). The method proposed in this paper helps to reveal the impact of cropland changes on LST, and the prediction of regional climate changes." @default.
• W4213138908 created "2022-02-24" @default.
• W4213138908 creator A5010394704 @default.
• W4213138908 creator A5014357267 @default.
• W4213138908 creator A5021038002 @default.
• W4213138908 creator A5030745240 @default.
• W4213138908 creator A5032516600 @default.
• W4213138908 creator A5046153352 @default.
• W4213138908 creator A5054872651 @default.
• W4213138908 creator A5056622146 @default.
• W4213138908 date "2022-05-01" @default.
• W4213138908 modified "2023-10-18" @default.
• W4213138908 title "Impacts of inter-annual cropland changes on land surface temperature based on multi-temporal thermal infrared images" @default.
• W4213138908 cites W1486197232 @default.
• W4213138908 cites W1795468129 @default.
• W4213138908 cites W1968163062 @default.
• W4213138908 cites W1970212451 @default.
• W4213138908 cites W1971683018 @default.
• W4213138908 cites W1993207328 @default.
• W4213138908 cites W1993972512 @default.
• W4213138908 cites W2008085934 @default.
• W4213138908 cites W2011883278 @default.
• W4213138908 cites W2020048454 @default.
• W4213138908 cites W2068692911 @default.
• W4213138908 cites W2076148993 @default.
• W4213138908 cites W2079860577 @default.
• W4213138908 cites W2141630770 @default.
• W4213138908 cites W2159934232 @default.
• W4213138908 cites W2163283323 @default.
• W4213138908 cites W2179952599 @default.
• W4213138908 cites W2182616208 @default.
• W4213138908 cites W2202077340 @default.
• W4213138908 cites W2287310612 @default.
• W4213138908 cites W2315501819 @default.
• W4213138908 cites W2326330146 @default.
• W4213138908 cites W2343188872 @default.
• W4213138908 cites W2521327460 @default.
• W4213138908 cites W2560734594 @default.
• W4213138908 cites W2670756506 @default.
• W4213138908 cites W2765109698 @default.
• W4213138908 cites W2768533897 @default.
• W4213138908 cites W2774691980 @default.
• W4213138908 cites W2784553750 @default.
• W4213138908 cites W2789710347 @default.
• W4213138908 cites W2811170502 @default.
• W4213138908 cites W2888139438 @default.
• W4213138908 cites W2897416154 @default.
• W4213138908 cites W2906914199 @default.
• W4213138908 cites W2910255414 @default.
• W4213138908 cites W2933755241 @default.
• W4213138908 cites W2951274592 @default.
• W4213138908 cites W2962282584 @default.
• W4213138908 cites W2968947456 @default.
• W4213138908 cites W2989334173 @default.
• W4213138908 cites W2997065844 @default.
• W4213138908 cites W3000312920 @default.
• W4213138908 cites W3020723596 @default.
• W4213138908 cites W3045508814 @default.
• W4213138908 cites W3132340750 @default.
• W4213138908 cites W3182553424 @default.
• W4213138908 cites W3196941571 @default.
• W4213138908 cites W3203024208 @default.
• W4213138908 cites W832101171 @default.
• W4213138908 doi "https://doi.org/10.1016/j.infrared.2022.104081" @default.
• W4213138908 hasPublicationYear "2022" @default.
• W4213138908 type Work @default.
• W4213138908 citedByCount "3" @default.
• W4213138908 countsByYear W42131389082023 @default.
• W4213138908 crossrefType "journal-article" @default.
• W4213138908 hasAuthorship W4213138908A5010394704 @default.
• W4213138908 hasAuthorship W4213138908A5014357267 @default.
• W4213138908 hasAuthorship W4213138908A5021038002 @default.
• W4213138908 hasAuthorship W4213138908A5030745240 @default.
• W4213138908 hasAuthorship W4213138908A5032516600 @default.
• W4213138908 hasAuthorship W4213138908A5046153352 @default.
• W4213138908 hasAuthorship W4213138908A5054872651 @default.
• W4213138908 hasAuthorship W4213138908A5056622146 @default.
• W4213138908 hasConcept C100970517 @default.
• W4213138908 hasConcept C120665830 @default.
• W4213138908 hasConcept C121332964 @default.
• W4213138908 hasConcept C127313418 @default.
• W4213138908 hasConcept C158355884 @default.
• W4213138908 hasConcept C18903297 @default.
• W4213138908 hasConcept C205649164 @default.
• W4213138908 hasConcept C2778157034 @default.
• W4213138908 hasConcept C2780648208 @default.
• W4213138908 hasConcept C2984335091 @default.
• W4213138908 hasConcept C39432304 @default.
• W4213138908 hasConcept C4792198 @default.
• W4213138908 hasConcept C62649853 @default.
• W4213138908 hasConcept C86803240 @default.
• W4213138908 hasConcept C91586092 @default.
• W4213138908 hasConcept C97137747 @default.
• W4213138908 hasConceptScore W4213138908C100970517 @default.
• W4213138908 hasConceptScore W4213138908C120665830 @default.
• W4213138908 hasConceptScore W4213138908C121332964 @default.
• W4213138908 hasConceptScore W4213138908C127313418 @default.
• W4213138908 hasConceptScore W4213138908C158355884 @default.

• next