{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T04:25:25Z","timestamp":1767846325460,"version":"3.49.0"},"reference-count":58,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,6,17]],"date-time":"2018-06-17T00:00:00Z","timestamp":1529193600000},"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>Differential synthetic aperture radar (SAR) interferometry (DInSAR) has been successfully used to estimate water level changes (\u2202h\/\u2202t) over wetlands and floodplains. Specifically, amongst ALOS PALSAR datasets, the fine-beam stripmap mode has been mostly implemented to estimate \u2202h\/\u2202t due to its availability of multitemporal images. However, the fine-beam observation mode provides limited swath coverage to study large floodplains and wetlands, such as the Amazon floodplains. Therefore, for the first time, this paper demonstrates that ALOS2 ScanSAR data can be used to estimate the large-scale \u2202h\/\u2202t in Amazon floodplains. The basic procedures and challenges of DInSAR processing with ALOS2 ScanSAR data are addressed and final \u2202h\/\u2202t maps are generated based on the Satellite with ARgos and ALtiKa (SARAL) altimetry\u2019s reference data. This study reveals that the local \u2202h\/\u2202t patterns of Amazon floodplains are spatially complex with highly interconnected floodplain channels, but the large-scale (with 350 km swath) \u2202h\/\u2202t patterns are simply characterized by river water flow directions.<\/jats:p>","DOI":"10.3390\/rs10060966","type":"journal-article","created":{"date-parts":[[2018,6,18]],"date-time":"2018-06-18T10:57:11Z","timestamp":1529319431000},"page":"966","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Estimation of Water Level Changes of Large-Scale Amazon Wetlands Using ALOS2 ScanSAR Differential Interferometry"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2880-8565","authenticated-orcid":false,"given":"Ning","family":"Cao","sequence":"first","affiliation":[{"name":"Department of Civil &amp; Environmental Engineering, University of Houston, Houston, TX 77004, USA"},{"name":"National Center for Airborne Laser Mapping, Houston, TX 77204 USA"}]},{"given":"Hyongki","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Civil &amp; Environmental Engineering, University of Houston, Houston, TX 77004, USA"},{"name":"National Center for Airborne Laser Mapping, Houston, TX 77204 USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6330-1834","authenticated-orcid":false,"given":"Hahn Chul","family":"Jung","sequence":"additional","affiliation":[{"name":"Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Science Systems and Applications, Inc., Lanham, MD 20706, USA"}]},{"given":"Hanwen","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Civil &amp; Environmental Engineering, University of Houston, Houston, TX 77004, USA"},{"name":"National Center for Airborne Laser Mapping, Houston, TX 77204 USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,17]]},"reference":[{"key":"ref_1","unstructured":"Amazone, J.B., and Olivry, J.C. 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