Geoscience and Remote Sensing

The Japan region is characterized by intense seismic activity. This catalog consists of earthquakes in a polygon bounded by 129°27'-144°73' E and 26°96'-43°04' N and from March 6, 2003, to July 10, 2023, obtained from the Japanese Meteorological Agency [1,2]. Aftershocks were identified using Molchan–Dmitrieva’s algorithm [3], which relies on the statistical analysis of the spatiotemporal distribution of seismic events. The aftershocks were subsequently marked using the program described in [4], which is an adaptation of the earlier program developed by Smirnov [5].

This dataset comprises 32-bit floating-point SAR images in TIFF format, capturing coastal regions. It includes corresponding ground truth masks that differentiate between land and water areas. The covered regions include the Netherlands, London, Ireland, Spain, France, Lisbon, the USA, India, Africa, and Italy. The SAR images were acquired in Interferometric Wide (IW) mode with dual polarization at a spatial resolution of 10m × 10m.

Greenland Ice Sheet is one of the key factors influencing global climate change. Its slight variations can lead to significant changes in sea level, making quantitative research on its mass balance of great scientific importance.

Greenland Ice Sheet is one of the key factors influencing global climate change. Its slight variations can lead to significant changes in sea level, making quantitative research on its mass balance of great scientific importance.

Greenland Ice Sheet is one of the key factors influencing global climate change. Its slight variations can lead to significant changes in sea level, making quantitative research on its mass balance of great scientific importance.

On 7 September 2021, a NOAA WP-3D flew a mission through Hurricane Larry with the Imaging Wind and Rain Airborne Profiler (IWRAP) mounted on the aircraft. Horizontal wind vectors and atmospheric wind speeds were retrieved from the Ku-band radar measurements, and are presented with equivalent reflectivity estimates from IWRAP and other measurements and retrievals from collocated instruments (e.g., flight-level wind sensors and the Stepped Frequency Microwave Radiometer [SFMR]). The radar was configured to sample at two incidence angles: 31 degrees and 51 degrees.

VEDAI: The VEDAI dataset comprises 1246 high-resolution RGB and infrared images, containing 3640 objects categorized into 8 common vehicle classes. Each image, with a resolution of 1024 × 1024 pixels, spans diverse terrains and environments. Notably, vehicles occupy only a small portion of the image pixels, making small object detection particularly challenging.

The field data set is collected in Hangzhou, Zhejiang Province, China. A linear array of 48 Fairfield Nodal ZLand 3C 5 Hz seismic sensors with approximately 5-m spacing was deployed to continuously record cultural noise from 10:00 am to about 02:45 pm, 24 June, 2019 (Beijing time) at a sampling frequency of 1000 Hz. The raw data includes 48 data files with the size of 201,312 kb and a file of the location information of all the receivers. Noted that the two horizontal components of sensors are oriented in the inline and crossline directions.

A new small aerial flame dataset, called the Aerial Fire and Smoke Essential (AFSE) dataset, is created which is comprised of screenshots from different YouTube wildfire videos as well as images from FLAME2. Two object categories are included in this dataset: smoke and fire. The collection of images is made to mostly contain pictures utilizing aerial viewpoints. It contains a total of 282 images with no augmentations and has a combination of images with only smoke, fire and smoke, and no fire nor smoke.