Estimation of the vapour pressure deficit using NOAA-AVHRR data
| dc.authorid | sahin, mehmet/0000-0001-7942-9253 | |
| dc.contributor.author | Sahin, Mehmet | |
| dc.contributor.author | Yildiz, Bekir Yigit | |
| dc.contributor.author | Senkal, Ozan | |
| dc.contributor.author | Pestemalci, Vedat | |
| dc.date.accessioned | 2024-12-24T19:28:02Z | |
| dc.date.available | 2024-12-24T19:28:02Z | |
| dc.date.issued | 2013 | |
| dc.department | Siirt Üniversitesi | |
| dc.description.abstract | In this study, the calculation of vapour pressure deficit (VPD) using the National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA/AVHRR) satellite data set is shown. Twenty-four NOAA/AVHRR data images were arranged and turned to account for both VPD and land surface temperature (LST), which was necessary to calculate the VPD. The most accurate LST values were obtained from the Ulivieri et al. split-window algorithm with a root mean square error (RMSE) of 2.7K, whereas the VPD values were retrieved with an RMSE of 6mb. Furthermore, the VPD value was calculated on an average monthly basis and its correlation coefficient was found to be 0.991, while the RMSE value was calculated to be 2.67mb. As a result, VPD can be used in studies that examine plants (germination, growth, and harvest), controlling illness outbreak, drought determination, and evapotranspiration. | |
| dc.identifier.doi | 10.1080/01431161.2012.750021 | |
| dc.identifier.endpage | 2729 | |
| dc.identifier.issn | 0143-1161 | |
| dc.identifier.issn | 1366-5901 | |
| dc.identifier.issue | 8 | |
| dc.identifier.scopus | 2-s2.0-84875869087 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 2714 | |
| dc.identifier.uri | https://doi.org/10.1080/01431161.2012.750021 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12604/6899 | |
| dc.identifier.volume | 34 | |
| dc.identifier.wos | WOS:000316393800004 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Taylor & Francis Ltd | |
| dc.relation.ispartof | International Journal of Remote Sensing | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20241222 | |
| dc.title | Estimation of the vapour pressure deficit using NOAA-AVHRR data | |
| dc.type | Article |
