Please use this identifier to cite or link to this item: http://digitalrepository.fccollege.edu.pk/handle/123456789/1153
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRaza, Sajid Hussain-
dc.contributor.authorMahmood, Syed Amer-
dc.contributor.authorBatool, Hafsah-
dc.contributor.author. Shad, T. J-
dc.contributor.authorAlvi, Sam-
dc.contributor.authorButt, M. Atif-
dc.contributor.authorWaseems, F.-
dc.contributor.authorHassan, Syed Shehzad-
dc.contributor.authorMirza, Ali Imam-
dc.date.accessioned2021-03-28T18:57:37Z-
dc.date.available2021-03-28T18:57:37Z-
dc.date.issued2018-01-
dc.identifier.citationTY - JOUR AU - Raza, Sajid AU - Mahmood, Syed Amer AU - Batool, H. AU - Shad, T. AU - Alvi, Sam AU - Waseems, F. AU - Butt, M. AU - Hassan, Syed AU - Mirza, Ali PY - 2018/01/01 SP - 1 EP - 14 T1 - Temperature Based Spatiotemporal Growth Monitoring of Rice Plant from Germination-Ripening Stage Using Remote Sensing and GIS Techniques VL - 07 DO - 10.4236/ars.2018.71001 JO - Advances in Remote Sensing ER -en_US
dc.identifier.issnISSN Online: 2169-2688-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1153-
dc.descriptionhttps://www.researchgate.net/publication/323418504_Temperature_Based_Spatiotemporal_Growth_Monitoring_of_Rice_Plant_from_Germination-Ripening_Stage_Using_Remote_Sensing_and_GIS_Techniquesen_US
dc.description.abstractRice (Oryza sativa) is the second staple food largely grown and widely con sumed in Pakistan. About 10% of the total crop area of Pakistan is cultivated by rice that takes a part in value addition of almost 1.3% - 1.6% in the total Gross Domestic Product (GDP). Due to global warming, temperature has a profound impact on rice crop phenology. Low temperature is the main factor of delay in rice plant growth and very high temperature results in stressed and short heighted plant so the crop sown in a region at the same time is not ready to harvest at same hours but a delay is observed. The study area under inves tigation was district Sheikhupura, Nankana, Lahore, Gujranawala and Hafi zabad, which are famous for rice productivity. Landsat 7, 8 freely available thermal dataset are used to calculated pixel based temperature values to eva luate growth using agricultural growth indicators. The total covered area was 13,480 km2 in which 484 km2 area was marked as less growth rate area with low temperature values due to water body and excess of vegetation over there. About 7960 km2 area is marked as good for growth experiencing optimum temperature for rice plant. Approximately 4944 km2 area is marked as stressed rice plant area experiencing high temperature values adjacent to urban popu lation. An attempt is made here to map this effect of temperature-based growth variability of the rice plant across the study area.en_US
dc.language.isoenen_US
dc.publisherscientific research publishingen_US
dc.relation.ispartofseriesAdvances in Remote Sensing, 2018, 7, 1-14;-
dc.subject, , Temperatureen_US
dc.subjectPhenologyen_US
dc.subjectClimateen_US
dc.subject, Gross Domestic Product (GDP)en_US
dc.subject, Global Warmingen_US
dc.titleTemperature Based Spatiotemporal Growth Monitoring of Rice Plant from Germination-Ripening Stage Using Remote Sensing and GIS Techniquesen_US
dc.typeArticleen_US
Appears in Collections:Geography Department



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.