Geoscience and Remote Sensing
The NENU-MPF dataset is a spatiotemporally continuous melt pond fraction (MPF) dataset of Arctic sea ice from 2000 to 2020 (from May 8 to September 24). It was generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) data using an artificial neural network and a statistical-based temporal filter.
The NENU-MPF dataset was saved in a binary format (.img), which can be easily read by the ENVI software. The information about the data files can be found in the corresponding .hdr file.
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This is the experimental photo dataset of the article "An Automatic and Accurate Method for Marking GCPs in UAV Photogrammetry".
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Magnetotellurics forward modeling synthesizing time series
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Glacial lake outburst floods (GLOFs) are a major threat to the local communities and important infrastructures in the high mountain regions. Early detection of glacial lakes can prevent these disastrous events. Towards this end, we collected Sentinel 2 true color scenes of High-Mountain Asia (HMA) region using glacial lakes inventory of this region. It covers an area of 2080.12 km2 with nearly 30,121 glacial lakes. After data collection, we retained 1200 cloud free true color images and manually generated their ground truth masks.
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The optical remote sensing (ORS) ship dataset contains eight ship classes (i.e., bulk carrier, car carrier, cargo, chemical tanker, container, dredge, oil tanker, tug) with a total of 8678 pictures. All pictures are collected using Google Earth with sub-meter resolution and corresponding class information are matched with the official website[http://www.marinetraffic.com/]
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The geological and hydrological pressures were generally neglected primarily due to the challenging nature of the monitoring task in an underwater setting, particularly over a large-scale region. Using repeated multibeam sonar measurements, we developed an uncertainty-based approach for interpreting the geomorphic change of the Lion City, an ancient Chinese city that is submerged in Qiandao lake.
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The geological and hydrological pressures were generally neglected primarily due to the challenging nature of the monitoring task in an underwater setting, particularly over a large-scale region. Using repeated multibeam sonar measurements, we developed an uncertainty-based approach for interpreting the geomorphic change of the Lion City, an ancient Chinese city that is submerged in Qiandao lake.
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Two high-resolution bathymetry investigations were conducted in the Lion City at a temporal interval of 14 years. The first topographic dataset were collected using a Simrad EM3000 MBES in May, 2002. In the data collection process, the DSM212 beacon-aided GPS technology was used for the horizontal positioning of the sonar.The second topographic dataset was collected using a Sonic 2024 MBES in May, 2015. The horizontal positioning information was provided by the differential GPS technology (centimeter accuracy).
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