FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204017761> ?p ?o ?g. }

• W3204017761 endingPage "326" @default.
• W3204017761 startingPage "308" @default.
• W3204017761 abstract "Crop phenology regulates seasonal agroecosystem carbon, water, and energy exchanges, and is a key component in empirical and process-based crop models for simulating biogeochemical cycles of farmlands, assessing gross and net primary production, and forecasting the crop yield. The advances in phenology matching models provide a feasible means to monitor crop phenological progress using remote sensing observations, with a priori information of reference shapes and reference phenological transition dates. Yet the underlying geometrical scaling assumption of models, together with the challenge in defining phenological references, hinders the applicability of phenology matching in crop phenological studies. The objective of this study is to develop a novel hybrid phenology matching model to robustly retrieve a diverse spectrum of crop phenological stages using satellite time series. The devised hybrid model leverages the complementary strengths of phenometric extraction methods and phenology matching models. It relaxes the geometrical scaling assumption and can characterize key phenological stages of crop cycles, ranging from farming practice-relevant stages (e.g., planted and harvested) to crop development stages (e.g., emerged and mature). To systematically evaluate the influence of phenological references on phenology matching, four representative phenological reference scenarios under varying levels of phenological calibrations in terms of time and space are further designed with publicly accessible phenological information. The results indicate that the hybrid phenology matching model can achieve high accuracies for estimating corn and soybean phenological growth stages in Illinois, particularly with the year- and region-adjusted phenological reference (R-squared higher than 0.9 and RMSE less than 5 days for most phenological stages). The inter-annual and regional phenological patterns characterized by the hybrid model correspond well with those in the crop progress reports (CPRs) from the USDA National Agricultural Statistics Service (NASS). Compared to the benchmark phenology matching model, the hybrid model is more robust to the decreasing levels of phenological reference calibrations, and is particularly advantageous in retrieving crop early phenological stages (e.g., planted and emerged stages) when the phenological reference information is limited. This innovative hybrid phenology matching model, together with CPR-enabled phenological reference calibrations, holds considerable promise in revealing spatio-temporal patterns of crop phenology over extended geographical regions." @default.
• W3204017761 created "2021-10-11" @default.
• W3204017761 creator A5005838892 @default.
• W3204017761 creator A5026250308 @default.
• W3204017761 creator A5053986999 @default.
• W3204017761 creator A5079380048 @default.
• W3204017761 creator A5082148318 @default.
• W3204017761 date "2021-11-01" @default.
• W3204017761 modified "2023-10-17" @default.
• W3204017761 title "Hybrid phenology matching model for robust crop phenological retrieval" @default.
• W3204017761 cites W1606385660 @default.
• W3204017761 cites W1968496754 @default.
• W3204017761 cites W1971429875 @default.
• W3204017761 cites W1972078955 @default.
• W3204017761 cites W1972226891 @default.
• W3204017761 cites W1986072339 @default.
• W3204017761 cites W1987415163 @default.
• W3204017761 cites W1996463620 @default.
• W3204017761 cites W2008085934 @default.
• W3204017761 cites W2026883370 @default.
• W3204017761 cites W2031844725 @default.
• W3204017761 cites W2036123899 @default.
• W3204017761 cites W2040626578 @default.
• W3204017761 cites W2041526327 @default.
• W3204017761 cites W2055728346 @default.
• W3204017761 cites W2061520540 @default.
• W3204017761 cites W2067347378 @default.
• W3204017761 cites W2071110539 @default.
• W3204017761 cites W2072093516 @default.
• W3204017761 cites W2072710223 @default.
• W3204017761 cites W2075700692 @default.
• W3204017761 cites W2080996236 @default.
• W3204017761 cites W2084577609 @default.
• W3204017761 cites W2087524173 @default.
• W3204017761 cites W2091663700 @default.
• W3204017761 cites W2096682311 @default.
• W3204017761 cites W2118604661 @default.
• W3204017761 cites W2124564759 @default.
• W3204017761 cites W2139303505 @default.
• W3204017761 cites W2141817421 @default.
• W3204017761 cites W2145814228 @default.
• W3204017761 cites W2146501057 @default.
• W3204017761 cites W2152092242 @default.
• W3204017761 cites W2153598078 @default.
• W3204017761 cites W2158883283 @default.
• W3204017761 cites W2160566385 @default.
• W3204017761 cites W2164287959 @default.
• W3204017761 cites W2176635193 @default.
• W3204017761 cites W2195361594 @default.
• W3204017761 cites W2334758642 @default.
• W3204017761 cites W2344866513 @default.
• W3204017761 cites W2532003389 @default.
• W3204017761 cites W2552805558 @default.
• W3204017761 cites W2571471618 @default.
• W3204017761 cites W2592411020 @default.
• W3204017761 cites W2617056706 @default.
• W3204017761 cites W2734813859 @default.
• W3204017761 cites W2792791920 @default.
• W3204017761 cites W2793935644 @default.
• W3204017761 cites W2794421859 @default.
• W3204017761 cites W2802272529 @default.
• W3204017761 cites W2890565173 @default.
• W3204017761 cites W2892407019 @default.
• W3204017761 cites W2892959751 @default.
• W3204017761 cites W2901633508 @default.
• W3204017761 cites W2912151952 @default.
• W3204017761 cites W2944377824 @default.
• W3204017761 cites W2945768587 @default.
• W3204017761 cites W2990259822 @default.
• W3204017761 cites W2999347784 @default.
• W3204017761 cites W3004741759 @default.
• W3204017761 cites W3006204968 @default.
• W3204017761 cites W3010657180 @default.
• W3204017761 cites W3039458596 @default.
• W3204017761 cites W3095658382 @default.
• W3204017761 cites W3096586204 @default.
• W3204017761 cites W3137820239 @default.
• W3204017761 doi "https://doi.org/10.1016/j.isprsjprs.2021.09.011" @default.
• W3204017761 hasPublicationYear "2021" @default.
• W3204017761 type Work @default.
• W3204017761 sameAs 3204017761 @default.
• W3204017761 citedByCount "10" @default.
• W3204017761 countsByYear W32040177612022 @default.
• W3204017761 countsByYear W32040177612023 @default.
• W3204017761 crossrefType "journal-article" @default.
• W3204017761 hasAuthorship W3204017761A5005838892 @default.
• W3204017761 hasAuthorship W3204017761A5026250308 @default.
• W3204017761 hasAuthorship W3204017761A5053986999 @default.
• W3204017761 hasAuthorship W3204017761A5079380048 @default.
• W3204017761 hasAuthorship W3204017761A5082148318 @default.
• W3204017761 hasBestOaLocation W32040177611 @default.
• W3204017761 hasConcept C18903297 @default.
• W3204017761 hasConcept C39432304 @default.
• W3204017761 hasConcept C41008148 @default.
• W3204017761 hasConcept C51417038 @default.
• W3204017761 hasConcept C86803240 @default.
• W3204017761 hasConceptScore W3204017761C18903297 @default.
• W3204017761 hasConceptScore W3204017761C39432304 @default.

• next