{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:12:57Z","timestamp":1758636777925,"version":"3.37.3"},"reference-count":31,"publisher":"Wiley","license":[{"start":{"date-parts":[[2019,6,19]],"date-time":"2019-06-19T00:00:00Z","timestamp":1560902400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002701","name":"Ministry of Education","doi-asserted-by":"publisher","award":["NRF-2018R1D1A1B07044771","INTERNATIONAL\/OTHER\/0118\/0120"],"award-info":[{"award-number":["NRF-2018R1D1A1B07044771","INTERNATIONAL\/OTHER\/0118\/0120"]}],"id":[{"id":"10.13039\/501100002701","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Regional Development Fund and the Republic of Cyprus through the Research Promotion Foundation","award":["NRF-2018R1D1A1B07044771","INTERNATIONAL\/OTHER\/0118\/0120"],"award-info":[{"award-number":["NRF-2018R1D1A1B07044771","INTERNATIONAL\/OTHER\/0118\/0120"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2019,6,19]]},"abstract":"<jats:p>A geostatistical framework for spatial quality assessment framework of coarse resolution remote sensing products is presented that can account for either the scale difference or the uncertainty of reference value prediction at coarse resolutions. A set of multiple reference field realizations is first generated at a fine spatial resolution using geostatistical simulation to explore the uncertainty in the true unknown reference field. The upscaling of multiple reference field realizations to coarse resolution is then followed to match the spatial resolution of the target remote sensing product and create coarse resolution reference fields. The simulated reference values at each coarse pixel are compared to the corresponding reported value from the coarse resolution remote sensing product, yielding alternative error values, from which several location-dependent statistics such as mean error, mean absolute error, and probability of overestimation can be computed. An experiment involving monthly Tropical Rainfall Measuring Mission (TRMM) precipitation products and point-level rain gauge data over South Korea illustrates the applicability of the proposed approach. The spatially distributed error statistics are useful to identify areas with larger errors and the degree of overestimation in the study area, leading to the identification of areas with unreliable estimates within the TRMM precipitation products. Therefore, it is expected that the geostatistical assessment framework presented in this paper can be effectively used to evaluate the spatial quality of coarse resolution remote sensing products.<\/jats:p>","DOI":"10.1155\/2019\/7297593","type":"journal-article","created":{"date-parts":[[2019,6,19]],"date-time":"2019-06-19T19:31:46Z","timestamp":1560972706000},"page":"1-14","source":"Crossref","is-referenced-by-count":4,"title":["A Geostatistical Approach to Spatial Quality Assessment of Coarse Spatial Resolution Remote Sensing Products"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9778-3624","authenticated-orcid":true,"given":"No-Wook","family":"Park","sequence":"first","affiliation":[{"name":"Department of Geoinformatic Engineering, Inha University, Incheon 22212, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phaedon C.","family":"Kyriakidis","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol 3036, Cyprus"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2009.08.017"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.3390\/rs5083951"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2014.01.019"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2011.05.005"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/1353691"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.09.002"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.06.009"},{"issue":"3, article 255","key":"8","volume":"9","year":"2017","journal-title":"Remote Sensing"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2005.03.015"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2005.06.002"},{"issue":"5-2","key":"11","first-page":"631","volume":"33","year":"2017","journal-title":"Korean Journal of Remote Sensing"},{"issue":"5-2","key":"12","first-page":"721","volume":"33","year":"2017","journal-title":"Korean Journal of Remote Sensing"},{"issue":"1","key":"13","first-page":"117","volume":"34","year":"2018","journal-title":"Korea Journal of Remote Sensing"},{"issue":"1","key":"14","first-page":"39","volume":"35","year":"2019","journal-title":"Korea Journal of Remote Sensing"},{"issue":"1","key":"15","first-page":"179","volume":"35","year":"2019","journal-title":"Korea Journal of Remote Sensing"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-5347(03)00071-5"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2010.12.008"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2014.08.006"},{"year":"1998","key":"19"},{"issue":"4, article 320","key":"20","volume":"8","year":"2016","journal-title":"Remote Sensing"},{"issue":"1","key":"21","first-page":"1","volume":"19","year":"2003","journal-title":"Korean Journal of Remote Sensing"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.871215"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.902426"},{"issue":"2, article 192","key":"24","volume":"10","year":"2018","journal-title":"Remote Sensing"},{"year":"1997","key":"25"},{"year":"1998","key":"26"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139150019"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0450(2003)042<0331:VOTRRD>2.0.CO;2"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1029\/2007JD009580"},{"year":"2013","key":"30"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1029\/JD095iD03p02195"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2019\/7297593.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2019\/7297593.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2019\/7297593.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T13:45:21Z","timestamp":1569073521000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2019\/7297593\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,19]]},"references-count":31,"alternative-id":["7297593","7297593"],"URL":"https:\/\/doi.org\/10.1155\/2019\/7297593","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2019,6,19]]}}}