Geoscience and Remote Sensing

Abstract—This study evaluates the long-term tectonic influence on landform development as well as the present-day tectonic activity in the Nanga Parbat-Haramosh Syntaxis (NPHS), a geologically complex region in the northwestern Himalayas. Using geomorphic indices and remote sensing techniques, including Interferometric Synthetic Aperture Radar (InSAR) and existing Global Positioning System (GPS) data, this research identifies significant neotectonic deformation, with active faults contributing to slope hazards and seismic risks.

The dataset used in this study consists of Airborne LiDAR Bathymetry (ALB) waveform data collected by the Norwegian Mapping Authority via Field Geospatial AS. It covers the Fjøløy Island area in Stavanger, Norway, a region characterized by fjords and diverse submerged environments. The dataset is proprietary and was provided to the authors under a research collaboration agreement.

Two subsets were extracted from the full dataset:

• Dataset 1: 6,379 waveform files
• Dataset 2: 4,428 waveform files

Each waveform file contains:

The heat production rate data of lunar major basins were obtained from the Chang 'e-2 gamma-ray spectrometer data (http://moon.bao.ac.cn). A detailed description of the processing procedure for these data products is provided by Zhao et al. [2023]. The map bin size is 1.5° by 1.5°. The unit of heat production rate in these data is μW/m³.
 

The scarcity of multimodal datasets in remote sensing, particularly those combining high-resolution imagery with descriptive textual annotations, limits advancements in context-aware analysis. To address this, we introduce a novel dataset comprising 12,473 aerial and satellite images sourced from established benchmarks (RSSCN7, DLRSD, iSAID, LoveDA, and WHU), enriched with automatically generated pseudo-captions and semantic tags.

PatternCom is a composed image retrieval benchmark based on PatternNet. PatternNet is a large-scale high-resolution remote sensing image retrieval dataset. There are 38 classes and each class has 800 images of size 256×256 pixels. In PatternCom, we select some classes to be depicted in query images, and add a query text that defines an attribute relevant to that class. For instance, query images of “swimming pools” are combined with text queries defining “shape” as “rectangular”, “oval”, and “kidney-shaped”.

It is a set of UAV ground surface crack datasets, containing a variety of complex factors in real-world scenes, which verifies the applicability of the proposed method on UAV images and provides important data support for the research on ground surface crack seg mentation.

come soon

Data related to the MFFCNN manuscript.

A pothole dataset collected by iPhone 14 pro. Due to the lack of publicly available small-scale pothole point cloud datasets, a custom dataset was created for model performance evaluation. The data collection area is located within the Yujiaotou campus of Wuhan University of Technology and the surrounding road network in Wuhan, China. For data acquisition, an iPhone 14 Pro equipped with a LiDAR scanner was used.

Extracting ships from complex backgrounds is the bottleneck of ship detection in high-resolution optical satellite images. In this letter, we propose a nearly closed-form ship rotated bounding box space used for ship detection and design a method to generate a small number of highly potential candidates based on this space. We first analyze the possibility of accurately covering all ships by labeling rotated bounding boxes. Moreover, to reduce search space, we construct a nearly closed-form ship rotated bounding box space.