[
    {
        "id": "authors:z8aqv-9mm32",
        "collection": "authors",
        "collection_id": "z8aqv-9mm32",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20170317-084759208",
        "type": "book_section",
        "title": "3D velocity field time series using synthetic aperture radar: application to tidal-timescale ice-flow variability in Rutford Ice Stream, West Antarctica",
        "book_title": "SAR Image Analysis, Modeling, and Techniques XVI",
        "author": [
            {
                "family_name": "Milillo",
                "given_name": "Pietro",
                "orcid": "0000-0002-1171-3976",
                "clpid": "Milillo-P"
            },
            {
                "family_name": "Minchew",
                "given_name": "Brent",
                "orcid": "0000-0002-5991-3926",
                "clpid": "Minchew-B-M"
            },
            {
                "family_name": "Agram",
                "given_name": "Piyush",
                "clpid": "Agram-P-S"
            },
            {
                "family_name": "Riel",
                "given_name": "Bryan",
                "orcid": "0000-0003-1940-3910",
                "clpid": "Riel-B"
            },
            {
                "family_name": "Simons",
                "given_name": "Mark",
                "orcid": "0000-0003-1412-6395",
                "clpid": "Simons-M"
            }
        ],
        "contributor": [
            {
                "family_name": "Notarnicola",
                "given_name": "Claudia",
                "clpid": "Notarnicola-C"
            },
            {
                "family_name": "Paloscia",
                "given_name": "Simonetta",
                "clpid": "Paloscia-S"
            },
            {
                "family_name": "Pierdicca",
                "given_name": "Nazzareno",
                "clpid": "Pierdicca-N"
            },
            {
                "family_name": "Mitchard",
                "given_name": "Edward",
                "clpid": "Mitchard-E"
            }
        ],
        "abstract": "We present a general method for retrieving time-series of three component surface velocity field vector given a set of continuous synthetic aperture radar (SAR) acquisitions collected from multiple geometries. Our algorithm extends the single-line-of-sight mathematical framework developed for time-series analysis using interferometric SAR (InSAR) to three spatial dimensions. The inversion is driven by a design matrix corresponding to a dictionary of displacement functions parameterized in time. The resulting model minimizes a cost function using a non-regularized least-squares method. We applied our method to Rutford ice stream (RIS), West Antarctica, using a set of 101 multi-track multi-angle COSMO-SkyMed displacement maps generating azimuth and range pixel offsets.",
        "doi": "10.1117/12.2241617",
        "isbn": "9781510604100",
        "publisher": "Society of Photo-Optical Instrumentation Engineers",
        "place_of_publication": "Bellingham, WA",
        "publication_date": "2016-10-28",
        "pages": "Art. No. 1000309"
    },
    {
        "id": "authors:j9k7a-h4x14",
        "collection": "authors",
        "collection_id": "j9k7a-h4x14",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20151124-080444030",
        "type": "book_section",
        "title": "Multiple glacier surges observed with airborne and spaceborne interferometric synthetic aperture radar",
        "book_title": "2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",
        "author": [
            {
                "family_name": "Minchew",
                "given_name": "Brent",
                "orcid": "0000-0002-5991-3926",
                "clpid": "Minchew-B-M"
            },
            {
                "family_name": "Simons",
                "given_name": "Mark",
                "orcid": "0000-0003-1412-6395",
                "clpid": "Simons-M"
            },
            {
                "family_name": "Hensley",
                "given_name": "Scott",
                "clpid": "Hensley-S"
            },
            {
                "family_name": "Bj\u00f6rnsson",
                "given_name": "Helgi",
                "clpid": "Bj\u00f6rnsson-H"
            },
            {
                "family_name": "P\u00e1lsson",
                "given_name": "Finnur",
                "clpid": "P\u00e1lsson-F"
            },
            {
                "family_name": "Milillo",
                "given_name": "Pietro",
                "orcid": "0000-0002-1171-3976",
                "clpid": "Milillo-P"
            }
        ],
        "abstract": "Mechanical properties of glacier beds impose fundamental constraints on glacier flow across a wide range of timescales [1]. Despite their importance in governing glacier dynamics, basal mechanics are not well understood, particularly where glaciers are underlain by deformable till [2]. While some till samples have been retrieved from beneath several glaciers and tested in laboratories in order to ascertain till rheology [3, 4], limitations on clast sizes imposed by apparatus dimensions and the difficulty of understanding and reproducing subglacial environments in the lab necessitate observations of the mechanical properties of in situ tills [5]. Such observations are sparse, owing to the inherent difficulty in attaining them, and this observational paucity has helped foment persistent uncertainties concerning the proper rheology of subglacial till and the rheological dependence on mechanical, thermal, and hydrological forcing [1, 2].",
        "doi": "10.1109/IGARSS.2015.7327035",
        "isbn": "978-1-4799-7929-5",
        "publisher": "IEEE",
        "publication_date": "2015-07",
        "pages": "5316-5319"
    },
    {
        "id": "authors:tr2j5-5n853",
        "collection": "authors",
        "collection_id": "tr2j5-5n853",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20141030-073957618",
        "type": "book_section",
        "title": "Studies of the Deepwater Horizon Oil Spill With the UAVSAR Radar",
        "book_title": "Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record Breaking Enterprise",
        "author": [
            {
                "family_name": "Jones",
                "given_name": "Cathleen E.",
                "clpid": "Jones-C-E"
            },
            {
                "family_name": "Minchew",
                "given_name": "Brent",
                "orcid": "0000-0002-5991-3926",
                "clpid": "Minchew-B-M"
            },
            {
                "family_name": "Holt",
                "given_name": "Benjamin",
                "clpid": "Holt-B"
            },
            {
                "family_name": "Hensley",
                "given_name": "Scott",
                "clpid": "Hensley-S"
            }
        ],
        "contributor": [
            {
                "family_name": "Liu",
                "given_name": "Yonggang",
                "clpid": "Liu-Yonggang"
            },
            {
                "family_name": "MacFadden",
                "given_name": "Amy",
                "clpid": "MacFadden-A"
            },
            {
                "family_name": "Ji",
                "given_name": "Zhen-Gang",
                "clpid": "Ji-Zhen-Gang"
            },
            {
                "family_name": "Weisberg",
                "given_name": "Robert H.",
                "clpid": "Weisberg-R-H"
            }
        ],
        "abstract": "On 22- 23 June 2010, the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) L band radar imaged the Deepwater Horizon oil spill and the effects of oil that was transported within the Gulf of Mexico. We describe the campaign and discuss the unique contributions of the UAVSAR radar to the study of the detection, migration, and impact of oil from the spill. We present an overview of UAVSAR data\nanalyses that support the original science goals of the campaign, namely, (1) algorithm development for oil slick detection and characterization, (2) mapping of oil intrusion into coastal wetlands and intercoastal waterways, and (3) ecosystem impact studies. Our study area focuses on oil-affected wetlands in Barataria Bay, Louisiana. The results indicate that fine resolution, low-noise, L band radar can detect surface oil-on-water with sufficient sensitivity to identify regions in a slick with different types of oil/emulsions and/or oil coverage; identify oil on waters in inland bays and differentiate mixed/weathered oil from fresh oil as it moves into the area; identify areas of potentially impacted wetlands and vegetation in the marshes;\nand support the crisis response through location of compromised booms and heavily oiled beaches.",
        "isbn": "9781118671825",
        "publisher": "American Geophysical Union",
        "place_of_publication": "Washington, DC",
        "publication_date": "2013-05",
        "pages": "33-50"
    },
    {
        "id": "authors:fnehn-0c311",
        "collection": "authors",
        "collection_id": "fnehn-0c311",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20170215-171422042",
        "type": "book_section",
        "title": "Polarimetric decomposition analysis of the Deepwater Horizon oil slick using L-band UAVSAR data",
        "book_title": "2011 IEEE International Geoscience and Remote Sensing Symposium",
        "author": [
            {
                "family_name": "Jones",
                "given_name": "Cathleen",
                "clpid": "Jones-C"
            },
            {
                "family_name": "Minchew",
                "given_name": "Brent",
                "orcid": "0000-0002-5991-3926",
                "clpid": "Minchew-B-M"
            },
            {
                "family_name": "Holt",
                "given_name": "Benjamin",
                "clpid": "Holt-B"
            }
        ],
        "abstract": "We report here an analysis of the polarization dependence of L-band radar backscatter from the main slick of the Deepwater Horizon oil spill, with specific attention to the utility of polarimetric decomposition analysis for discrimination of oil from clean water and identification of variations in the oil characteristics. For this study we used data collected with the UAVSAR instrument from opposing look directions directly over the main oil slick. We find that both the Cloude-Pottier and Shannon entropy polarimetric decomposition methods offer promise for oil discrimination, with the Shannon entropy method yielding the same information as contained in the Cloude-Pottier entropy and averaged in tensity parameters, but with significantly less computational complexity.",
        "doi": "10.1109/IGARSS.2011.6049663",
        "isbn": "978-1-4577-1005-6",
        "publisher": "IEEE",
        "place_of_publication": "Piscataway, NJ",
        "publication_date": "2011-07",
        "pages": "2278-2281"
    }
]