Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4288
DC FieldValueLanguage
dc.contributor.authorLeong M.C.en_US
dc.contributor.authorMuhammad, M.en_US
dc.contributor.authorJamil R.M.en_US
dc.date.accessioned2023-01-14T04:18:41Z-
dc.date.available2023-01-14T04:18:41Z-
dc.date.issued2022-06-
dc.identifier.isbn978-073544193-4-
dc.identifier.issn0094243X-
dc.identifier.urihttp://hdl.handle.net/123456789/4288-
dc.descriptionScopusen_US
dc.description.abstractThe continual advances of satellite remote sensing technology have led to growing number of hydro- meteorological data, available for use in various disciplines. However, the conventional ways of utilising and extracting data from satellite imagery tiles often involves large amount of data to be downloaded, followed by a suite of processing procedures to extract the intended information. As the number of earth observations continue to increase unprecedentedly alongside issues with rapid climate change, there is a need to simplify and streamline data access and processing methods. Recently, NASA has introduced the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) tool which provides analysis-ready data that users can download via point or area sampling. This tool not only significantly reduces the amount of data users need to download but is also beneficial for users without geographic information backgrounds. This study aims to present the initial results for MODIS hydroclimatic data, i.e., leaf area index, evapotranspiration extracted using the AppEEARS tool and GPM rainfall data for Kelantan River Basin from 2010 to 2018. The results found normal distribution for all variables and decreasing (increasing) trend for ET and LAI (rainfall) with rates of change estimated to be 1.13/9-year, -0.98 mm/9-year and 4.52 mm/9-year, respectively.en_US
dc.language.isoenen_US
dc.publisherAmerican Institute of Physics Inc.en_US
dc.relation.ispartofAIP Conference Proceedingsen_US
dc.subjectMODIS hydroclimatic dataen_US
dc.subjectAppEEARS toolen_US
dc.subjectGPM rainfall dataen_US
dc.titleAnalysing MODIS hydroclimate data with NASA's AppEEARS tool for preliminary studyen_US
dc.typeInternationalen_US
dc.relation.conference2021 International Conference on Bioengineering and Technology, IConBET2021en_US
dc.identifier.doi10.1063/5.0078552-
dc.volume2454en_US
dc.description.articleno050016en_US
dc.date.seminarstartdate2022-05-24-
dc.date.seminarenddate2022-05-25-
dc.description.placeofseminarKelantan, Virtualen_US
dc.description.typeProceeding Papersen_US
dc.contributor.correspondingauthormarieanne@umk.edu.myen_US
item.languageiso639-1en-
item.grantfulltextnone-
item.openairetypeInternational-
item.fulltextNo Fulltext-
crisitem.author.deptUNIVERSITI MALAYSIA KELANTAN-
crisitem.author.deptUniversiti Malaysia Kelantan-
Appears in Collections:Faculty of Earth Science - Proceedings
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