FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2038622951> ?p ?o ?g. }

• W2038622951 endingPage "325" @default.
• W2038622951 startingPage "310" @default.
• W2038622951 abstract "Rice monitoring and production estimation has special significance to China, as rice is the staple grain and accounts for 42% of the crop production in this country. Radar remote sensing is appropriate for monitoring rice because the areas where this crop is cultivated are often cloudy and rainy. Synthetic Aperture Radar (SAR) is thus anticipated to be the dominant high-resolution remote sensing data source for agricultural applications in tropical and subtropical regions. It also provides revisit schedules suitable for agricultural monitoring. This paper presents the results of a study examining the backscatter behavior of rice as a function of time using multitemporal RADARSAT data acquired in 1996 and 1997. A rice-type distribution map was produced, showing four types of rice with different life spans ranging from 80 days to 120–125 days. The life span of a rice crop has significant impact on the yield, as well as on the taste and quality of the rice, with the longer growing varieties having the best taste and the highest productivity. The rice production of three counties and two administrative regions, totaling 5000 km2, was estimated in this study. The accuracy of the rice classification was found to be 91% (97% after postclassification filtering) providing confidence that multitemporal RADARSAT data is capable of rice mapping. An empirical growth model was then applied to the results of the rice classification, which related radar backscatter values to rice life spans. These life spans could then be used to sum up the production estimates, which were obtained from agronomic models already in use for rice by local agronomists. These models related the yield of rice to their life span based on empirical observations for each type of rice. The resulting productivity estimate could not be compared to any other existing data on yield production for the study-area, but was well received by the local authorities. Based on the studies carried out in the Zhaoqing test site since 1993, it is suggested that rice production estimates require three radar data acquisitions taken at three different stages of crop growth and development. These three growth stages are: at the end of the transplanting and seedling development period, during the ear differentiation period, and at the beginning of the harvest period. Alternatively, if multiparameter radar data is available, only two data acquisitions may be needed. These would be at the end of the transplanting and seedling development period, and at the beginning of the harvest period. This paper also proposes an operational scenario for rice monitoring and production estimation." @default.
• W2038622951 created "2016-06-24" @default.
• W2038622951 creator A5003990542 @default.
• W2038622951 creator A5029702246 @default.
• W2038622951 creator A5033877781 @default.
• W2038622951 creator A5058960262 @default.
• W2038622951 creator A5062260588 @default.
• W2038622951 creator A5063728942 @default.
• W2038622951 creator A5075214834 @default.
• W2038622951 creator A5078805025 @default.
• W2038622951 date "2001-06-01" @default.
• W2038622951 modified "2023-10-17" @default.
• W2038622951 title "Rice monitoring and production estimation using multitemporal RADARSAT" @default.
• W2038622951 cites W1981187456 @default.
• W2038622951 cites W1990147589 @default.
• W2038622951 cites W2005461329 @default.
• W2038622951 cites W2010426718 @default.
• W2038622951 cites W2013513270 @default.
• W2038622951 cites W2021675487 @default.
• W2038622951 cites W2022430746 @default.
• W2038622951 cites W2040046785 @default.
• W2038622951 cites W2050076538 @default.
• W2038622951 cites W2054743306 @default.
• W2038622951 cites W2085985380 @default.
• W2038622951 cites W2090532157 @default.
• W2038622951 cites W2092454493 @default.
• W2038622951 cites W2101308399 @default.
• W2038622951 cites W2119295421 @default.
• W2038622951 cites W2119656745 @default.
• W2038622951 cites W2128934981 @default.
• W2038622951 cites W2136950954 @default.
• W2038622951 cites W2141348340 @default.
• W2038622951 cites W2142660541 @default.
• W2038622951 cites W2151250213 @default.
• W2038622951 cites W2158475922 @default.
• W2038622951 cites W2174745409 @default.
• W2038622951 doi "https://doi.org/10.1016/s0034-4257(00)00212-1" @default.
• W2038622951 hasPublicationYear "2001" @default.
• W2038622951 type Work @default.
• W2038622951 sameAs 2038622951 @default.
• W2038622951 citedByCount "289" @default.
• W2038622951 countsByYear W20386229512012 @default.
• W2038622951 countsByYear W20386229512013 @default.
• W2038622951 countsByYear W20386229512014 @default.
• W2038622951 countsByYear W20386229512015 @default.
• W2038622951 countsByYear W20386229512016 @default.
• W2038622951 countsByYear W20386229512017 @default.
• W2038622951 countsByYear W20386229512018 @default.
• W2038622951 countsByYear W20386229512019 @default.
• W2038622951 countsByYear W20386229512020 @default.
• W2038622951 countsByYear W20386229512021 @default.
• W2038622951 countsByYear W20386229512022 @default.
• W2038622951 countsByYear W20386229512023 @default.
• W2038622951 crossrefType "journal-article" @default.
• W2038622951 hasAuthorship W2038622951A5003990542 @default.
• W2038622951 hasAuthorship W2038622951A5029702246 @default.
• W2038622951 hasAuthorship W2038622951A5033877781 @default.
• W2038622951 hasAuthorship W2038622951A5058960262 @default.
• W2038622951 hasAuthorship W2038622951A5062260588 @default.
• W2038622951 hasAuthorship W2038622951A5063728942 @default.
• W2038622951 hasAuthorship W2038622951A5075214834 @default.
• W2038622951 hasAuthorship W2038622951A5078805025 @default.
• W2038622951 hasConcept C118518473 @default.
• W2038622951 hasConcept C166957645 @default.
• W2038622951 hasConcept C205649164 @default.
• W2038622951 hasConcept C30354325 @default.
• W2038622951 hasConcept C39432304 @default.
• W2038622951 hasConcept C41008148 @default.
• W2038622951 hasConcept C555944384 @default.
• W2038622951 hasConcept C62649853 @default.
• W2038622951 hasConcept C76155785 @default.
• W2038622951 hasConcept C87360688 @default.
• W2038622951 hasConceptScore W2038622951C118518473 @default.
• W2038622951 hasConceptScore W2038622951C166957645 @default.
• W2038622951 hasConceptScore W2038622951C205649164 @default.
• W2038622951 hasConceptScore W2038622951C30354325 @default.
• W2038622951 hasConceptScore W2038622951C39432304 @default.
• W2038622951 hasConceptScore W2038622951C41008148 @default.
• W2038622951 hasConceptScore W2038622951C555944384 @default.
• W2038622951 hasConceptScore W2038622951C62649853 @default.
• W2038622951 hasConceptScore W2038622951C76155785 @default.
• W2038622951 hasConceptScore W2038622951C87360688 @default.
• W2038622951 hasIssue "3" @default.
• W2038622951 hasLocation W20386229511 @default.
• W2038622951 hasOpenAccess W2038622951 @default.
• W2038622951 hasPrimaryLocation W20386229511 @default.
• W2038622951 hasRelatedWork W1847813119 @default.
• W2038622951 hasRelatedWork W1976571702 @default.
• W2038622951 hasRelatedWork W1984559991 @default.
• W2038622951 hasRelatedWork W2068956457 @default.
• W2038622951 hasRelatedWork W2355956201 @default.
• W2038622951 hasRelatedWork W2502358642 @default.
• W2038622951 hasRelatedWork W2899084033 @default.
• W2038622951 hasRelatedWork W3165883639 @default.
• W2038622951 hasRelatedWork W4252699458 @default.
• W2038622951 hasRelatedWork W1799242668 @default.
• W2038622951 hasVolume "76" @default.
• W2038622951 isParatext "false" @default.

• next