Remote Sensing
A long-strip synthetic aperture radar interferometric (InSAR) measurement based on multiframe image mosaicking is currently the realizable approach to measure large-range ground deformation. As the spatial range of the mosaicked images increases, the degree of ground effects are more significant, and using empirical global ocean tidal models or plane fitting to correct the OTL displacement will produce large errors in a region with a complex coastline.
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Here, a dataset used in manuscript "Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models" Scepanovic et al. (https://doi.org/10.1109/JSTARS.2021.3116094) is published. The data contains preprocessed SAR backscatter digital numbers as 7000 geotiff image patches of size 512x512 (about 10 km x 10 km size) sampled from several wide-area SAR mosaics compiled from all summer Sentinel-1A images acquired over Finland in the summer of 2018.
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ABSTRACT
Europe is covered by distinct climatic zones which include semiarid, the Mediterranean, humid subtropical, marine,
humid continental, subarctic, and highland climates. Land use and land cover change have been well documented in the
past 200 years across Europe1where land cover grassland and cropland together make up 39%2. In recent years, the
agricultural sector has been affected by abnormal weather events. Climate change will continue to change weather
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教学楼的BIM与点云
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<p>Our data set contains five subsets, which are Seadata, RCSdata, RD_SeaImage, BP_SeaImage and SSHdata. Seadata is the data of simulated sea. RCSdata is the data of sea surface backward scattering coefficient. RD_SeaImage is the simulated images of sea surface. BP_SeaImage is the simulated images of sea surface. SSHdata is the sea surface height data.</p>
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This dataset contains satellite images of areas of interest surrounding 30 different European airports. It also provides ground-truth annotations of flying airplanes in part of those images to support future research involving flying airplane detection. This dataset is part of the work entitled "Measuring economic activity from space: a case study using flying airplanes and COVID-19" published by the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. It contains modified Sentinel-2 data processed by Euro Data Cube.
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This dataset is created for ocean front evolution trend recognition and tracking.
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This dataset provide researchers a benchmark to develop applicable and adaptive harbor detection algorithms.
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SI-STSAR-7 is a labeled spatiotemporal dataset for sea ice classification based on SAR images. The dataset is produced from 80 Sentinel-1 A/B SAR scenes during the two freezing periods of Hudson Bay from October 2019 to May 2020 and from October 2020 to April 2021, which are provided by the Copernicus Open Access Center. The Sentinel-1 SAR images were preprocessed with noise reduction and incidence angle dependence correction before use.
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<p>This is the image dataset for satellite image processing which is a collection therml infrared and multispectral images .</p>
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