{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:24:38Z","timestamp":1760243078883,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2015,9,11]],"date-time":"2015-09-11T00:00:00Z","timestamp":1441929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Multitemporal Phased Array type L-band Synthetic Aperture Radar (PALSAR) horizontally transmitted and horizontally received (HH) coherence data was decomposed into temporal-coherence, spatial-coherence, and thermal noise components. The multitemporal data spanned between February and May of 2008, and consisted of two pairs of interferometric SAR (InSAR) images formed by consecutive repeat passes. With the analysis of ancillary data, a snow increase process and a snow decrease process were determined. Then, the multiple temporal-coherence components were used to study the variation of thawing and freezing statuses of snow because the components can mostly reflect the temporal change of the snow that occurred between two data acquisitions. Compared with snow mapping results derived from optical images, the outcomes from the snow increase process and the snow decrease process reached an overall accuracy of 71.3% and 79.5%, respectively. Being capable of delineating not only the areas with or without snow cover but also status changes among no-snow, wet snow, and dry snow, we have developed a critical means to assess the water resource in alpine areas.<\/jats:p>","DOI":"10.3390\/rs70911602","type":"journal-article","created":{"date-parts":[[2015,9,15]],"date-time":"2015-09-15T03:46:33Z","timestamp":1442288793000},"page":"11602-11620","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Assessment of Snow Status Changes Using L-HH  Temporal-Coherence Components at Mt. Dagu, China"],"prefix":"10.3390","volume":"7","author":[{"given":"Yong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Resources and Environment, University of Electronic and Science Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China"},{"name":"Department of Geography, Planning, and Environment, East Carolina University, Greenville,  NC 27858, USA"},{"name":"Institute of Remote Sensing Big Data, Big Data Research Center of UESTC, 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic and Science Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China"}]},{"given":"Hong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Management and Information Systems, East Carolina University, Greenville,  NC 27858, USA"}]},{"given":"Yuanyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic and Science Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China"}]},{"given":"Taoli","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic and Science Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China"}]}],"member":"1968","published-online":{"date-parts":[[2015,9,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1038\/nature04141","article-title":"Potential impacts of a warming climate on water availability in snow-dominated regions","volume":"438","author":"Barnett","year":"2005","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/S0034-4257(96)00180-0","article-title":"Capability of multitemporal ERS-1 SAR data for wet-snow mapping","volume":"60","author":"Baghdadi","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1109\/36.842004","article-title":"Retrieval of wet snow by means of multitemporal SAR data","volume":"38","author":"Nagler","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Longepe, N., Shimada, M., Allain, S., and Pottier, E. (2008, January 7\u201311). Capabilities of full-polarimetric PALSAR\/ALOS for snow extent mapping. Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4779900"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1109\/TGRS.2013.2240000","article-title":"Polarimetric SAR response of snow-covered area observed by multi-temporal ALOS PALSAR fully polarimetric mode","volume":"52","author":"Park","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1109\/TGRS.2013.2248369","article-title":"Capability assessment of fully Polarimetric ALOS-PALSAR data for discriminating wet snow from other scattering types in mountainous regions","volume":"52","author":"Singh","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2101","DOI":"10.1109\/36.957273","article-title":"InSAR for estimation of changes in snow water equivalent of dry snow","volume":"39","author":"Guneriussen","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/TGRS.2006.886196","article-title":"Estimating snow accumulation from InSAR correlation observations","volume":"45","author":"Oveisgharan","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","unstructured":"Li, Z., Guo, H., Li, X., and Wang, C. (2001, January 9\u201313). SAR interferometry coherence analysis for snow mapping. Proceedings of the 2001 IEEE International Geoscience and Remote Sensing Symposium, Sydney, Australia."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Singh, G., Venkataraman, G., Rao, Y.S., Kumar, V., and Mani, S. (2008, January 7\u201311). InSAR coherence measurement techniques for snow cover mapping in Himalayan region. Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4779913"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1080\/17538940903521591","article-title":"SAR interferometric coherence analysis for snow cover mapping in the western Himalayan region","volume":"4","author":"Kumar","year":"2010","journal-title":"Int. J. Digit. Earth"},{"key":"ref_12","unstructured":"About ALOS-PALSAR. Available online: http:\/\/www.eorc.jaxa.jp\/ALOS\/en\/about\/palsar.htm."},{"key":"ref_13","unstructured":"Alaska Satellite Facility. Available oneline: https:\/\/www.asf.alaska.edu."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Li, J.L., Bao, A.M., and Huang, Q.T. (2013, January 26). A object-oriented glacier mapping method based on multi-temporal Landsat images. Proceedings of the MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, Wuhan, China.","DOI":"10.1117\/12.2031083"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1109\/LGRS.2009.2029126","article-title":"InSAR coherence-decomposition analysis","volume":"7","author":"Wang","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens. Letters."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1109\/36.298013","article-title":"The wavenumber shift in SAR interferometry","volume":"32","author":"Gatelli","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1109\/36.175330","article-title":"Decorrelation in interferometric radar echoes","volume":"30","author":"Zebker","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3317","DOI":"10.1109\/TGRS.2007.900693","article-title":"TanDEM-X: A satellite formation for high-resolution SAR interferometry","volume":"45","author":"Krieger","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","unstructured":"Rott, H., and Siegel, A. (October, January 30). Glaciological studies in the Alps and in Antarctica using ERS interferometric SAR. Proceedings of the Fringe 96\u2019 Workshop on ERS SAR Interferometry, Z\u00fcrich, Switzerland."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Wang, Y., Wang, L., Zhang, Y., and Yang, T. (2015, January 26\u201331). Investigation of snow cover change using multi-temporal PALSAR InSAR data at Dagu Glacier, China. Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7325872"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.1002\/(SICI)1099-1085(199808\/09)12:10\/11<1723::AID-HYP691>3.0.CO;2-2","article-title":"Improving snow cover mapping in forests through the use of a canopy reflectance model","volume":"12","author":"Klein","year":"1998","journal-title":"Hydrol. Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/9\/11602\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:48:24Z","timestamp":1760215704000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/9\/11602"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,11]]},"references-count":21,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2015,9]]}},"alternative-id":["rs70911602"],"URL":"https:\/\/doi.org\/10.3390\/rs70911602","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2015,9,11]]}}}