Emulating Sentinel-1 Doppler Radial Ice Drift Measurements Using Envisat ASAR Data
نویسندگان
چکیده
منابع مشابه
Monitoring Agricultural Activities Using Asar Envisat Data
Space borne radar data facilitates continuous monitoring of almost any location on the earth (limitations in polar zones) with quite low costs. Almost weather-independent operation of radar systems enables a reliable and continuous record of data from earth’s surface. In the framework of an ESA pilot project (AO335), ENVISAT polarimetric SAR data of years 2004 and 2005 are examined for their us...
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ABSTRACT A method has been developed to apply multi-temporal Advanced Synthetic Aperture Radar (ENVISAT/ASAR, C-Band) images to snow cover monitoring and mapping in mountainous areas. A multi-temporal dataset that includes sequences of ascending and descending ASAR wide swath and beam mode IS2 scenes acquired over Switzerland was investigated. The images were geometrically corrected to remove r...
متن کاملOcean Wave Measurements from Envisat Asar Data Using a Parametric Inversion Scheme
Two-dimensional ocean wave spectra are measured from ENVISAT ASAR wave mode cross spectra on a global scale. The measurement is performed using a parametric retrieval scheme, which makes use of prior information taken from numerical wave models. The Partition Rescale and Shift algorithm (PARSA) is based on a partitioning technique, which splits an a prior wave spectrum into its wave system comp...
متن کاملMonitoring Agricultural Activities Using Multi-temporal Asar Envisat Data
Agricultural activities affect strongly their environment. Therefore and because of their other economic, industrial and political effects, monitoring agricultural areas is increasingly demanded. Space borne remote sensing is a very cost effective and beneficial means for monitoring and mapping of earth’s surface. Due to independence from weather conditions, radar data are regularly available a...
متن کاملRegional forest and non-forest mapping using Envisat ASAR data
Envisat Advanced Synthetic Aperture Radar (ASAR) dual-polarization data are shown to be effective for regional forest monitoring. To this scope, an automatic SAR image preprocessing procedure was developed using SRTM DEM and Landsat TM image for geocoding in rugged terrain and smooth terrain areas, respectively. An object-oriented forest and non-forest classif ication method was then proposed b...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2015
ISSN: 0196-2892,1558-0644
DOI: 10.1109/tgrs.2015.2439044