Matches in SemOpenAlex for { <https://semopenalex.org/work/W2952528560> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2952528560 abstract "Rice is an important staple food crop worldwide, especially in India. Accurate and timely prediction of rice phenology plays a significant role in the management of water resources, administrative planning, and food security. In addition to conventional methods, remotely sensed time series data can provide the necessary estimation of rice phenological stages over a large region. Thus, the present study utilizes the 16-day composite Enhanced Vegetation Index (EVI) product with a spatial resolution of 250 m from the Moderate Resolution Imaging Spectroradiometer (MODIS) to monitor the rice phenological stages over Karur district of Tamil Nadu, India, using the Google Earth Engine (GEE) platform. The rice fields in the study area were classified using the machine learning algorithm in GEE. The ground truth was obtained from the paddy fields during crop production which was used for classifying the paddy grown area. After the classification of paddy fields, local maxima, and local minima present in each pixel of time series, the EVI product was used to determine the paddy growing stages in the study area. The results show that in the initial stage the pixel value of EVI in the paddy field shows local minima (0.23), whereas local maxima (0.41) were obtained during the peak vegetative stage. The results derived from the present study using MODIS data were cross-validated using the field data." @default.
- W2952528560 created "2019-06-27" @default.
- W2952528560 creator A5037453164 @default.
- W2952528560 creator A5048217791 @default.
- W2952528560 creator A5050859575 @default.
- W2952528560 creator A5051091962 @default.
- W2952528560 date "2019-06-05" @default.
- W2952528560 modified "2023-10-18" @default.
- W2952528560 title "Phenological Monitoring of Paddy Crop Using Time Series MODIS Data" @default.
- W2952528560 cites W1981101003 @default.
- W2952528560 cites W1981463364 @default.
- W2952528560 cites W1987311795 @default.
- W2952528560 cites W1990244654 @default.
- W2952528560 cites W2058723831 @default.
- W2952528560 cites W2146497894 @default.
- W2952528560 cites W2249807211 @default.
- W2952528560 cites W309841445 @default.
- W2952528560 doi "https://doi.org/10.3390/iecg2019-06205" @default.
- W2952528560 hasPublicationYear "2019" @default.
- W2952528560 type Work @default.
- W2952528560 sameAs 2952528560 @default.
- W2952528560 citedByCount "3" @default.
- W2952528560 countsByYear W29525285602019 @default.
- W2952528560 countsByYear W29525285602020 @default.
- W2952528560 countsByYear W29525285602022 @default.
- W2952528560 crossrefType "proceedings-article" @default.
- W2952528560 hasAuthorship W2952528560A5037453164 @default.
- W2952528560 hasAuthorship W2952528560A5048217791 @default.
- W2952528560 hasAuthorship W2952528560A5050859575 @default.
- W2952528560 hasAuthorship W2952528560A5051091962 @default.
- W2952528560 hasBestOaLocation W29525285601 @default.
- W2952528560 hasConcept C105795698 @default.
- W2952528560 hasConcept C127413603 @default.
- W2952528560 hasConcept C146978453 @default.
- W2952528560 hasConcept C151406439 @default.
- W2952528560 hasConcept C1549246 @default.
- W2952528560 hasConcept C166957645 @default.
- W2952528560 hasConcept C19269812 @default.
- W2952528560 hasConcept C205649164 @default.
- W2952528560 hasConcept C25989453 @default.
- W2952528560 hasConcept C2777007095 @default.
- W2952528560 hasConcept C2780376076 @default.
- W2952528560 hasConcept C33923547 @default.
- W2952528560 hasConcept C39432304 @default.
- W2952528560 hasConcept C51417038 @default.
- W2952528560 hasConcept C62649853 @default.
- W2952528560 hasConcept C6557445 @default.
- W2952528560 hasConcept C78869512 @default.
- W2952528560 hasConcept C85582077 @default.
- W2952528560 hasConcept C86803240 @default.
- W2952528560 hasConcept C88463610 @default.
- W2952528560 hasConceptScore W2952528560C105795698 @default.
- W2952528560 hasConceptScore W2952528560C127413603 @default.
- W2952528560 hasConceptScore W2952528560C146978453 @default.
- W2952528560 hasConceptScore W2952528560C151406439 @default.
- W2952528560 hasConceptScore W2952528560C1549246 @default.
- W2952528560 hasConceptScore W2952528560C166957645 @default.
- W2952528560 hasConceptScore W2952528560C19269812 @default.
- W2952528560 hasConceptScore W2952528560C205649164 @default.
- W2952528560 hasConceptScore W2952528560C25989453 @default.
- W2952528560 hasConceptScore W2952528560C2777007095 @default.
- W2952528560 hasConceptScore W2952528560C2780376076 @default.
- W2952528560 hasConceptScore W2952528560C33923547 @default.
- W2952528560 hasConceptScore W2952528560C39432304 @default.
- W2952528560 hasConceptScore W2952528560C51417038 @default.
- W2952528560 hasConceptScore W2952528560C62649853 @default.
- W2952528560 hasConceptScore W2952528560C6557445 @default.
- W2952528560 hasConceptScore W2952528560C78869512 @default.
- W2952528560 hasConceptScore W2952528560C85582077 @default.
- W2952528560 hasConceptScore W2952528560C86803240 @default.
- W2952528560 hasConceptScore W2952528560C88463610 @default.
- W2952528560 hasLocation W29525285601 @default.
- W2952528560 hasOpenAccess W2952528560 @default.
- W2952528560 hasPrimaryLocation W29525285601 @default.
- W2952528560 hasRelatedWork W1966410203 @default.
- W2952528560 hasRelatedWork W1968300283 @default.
- W2952528560 hasRelatedWork W1987991443 @default.
- W2952528560 hasRelatedWork W2122029350 @default.
- W2952528560 hasRelatedWork W2155112125 @default.
- W2952528560 hasRelatedWork W2758303425 @default.
- W2952528560 hasRelatedWork W2988485734 @default.
- W2952528560 hasRelatedWork W3035255932 @default.
- W2952528560 hasRelatedWork W4283377485 @default.
- W2952528560 hasRelatedWork W2066806995 @default.
- W2952528560 isParatext "false" @default.
- W2952528560 isRetracted "false" @default.
- W2952528560 magId "2952528560" @default.
- W2952528560 workType "article" @default.