GIS

The emergence of prompt-driven artificial intelligence (AI) techniques for the rapid creation and iterative ideation of text, images, and code has disrupted the trajectory of science, technology, and society. Geospatial AI (GeoAI) aims to develop ...

We introduce a new geospatial representation model called GeoVeX to learn global vectors for all geographical locations on Earth land cover. GeoVeX is built on a novel model architecture named Hexagonal Convolutional Autoencoders (HCAE) combined with a ...

Floods are destructive natural calamities that endanger people's lives, infrastructure, and the environment. Flood detection that is timely and accurate can help with disaster management and save lives. Flood semantic segmentation from remote sensing ...

Image segmentation is currently a hot topic in the context of Earth observation through remote sensing. Recent research has advanced many new models designed specifically for remote sensing image segmentation, often with sophisticated architectures and ...

Detecting railways from historical maps is challenging due to their infrequent representation in a map sheet and their visual similarity with roads. Basically, both railways and roads are symbolised as two parallel black lines, with slight differences ...

It is important for local governments to grasp the evacuation situation upon the occurrence of a large-scale disaster because administrative support can be provided, such as opening temporary accommodation facilities or distributing relief supplies. ...

Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data. The library can download geospatial data, split a given area into micro-regions using multiple algorithms and train an embedding model using ...

Finding thresholds for continuous variables is an important problem in many applications. For example, when studying the relationship of air pollution and lung diseases it is important to obtain findings such as: "PM2.5 concentrations above 40μg/m3 are ...

Understanding and measuring the resilience of food supply networks is a global imperative to tackle increasing food insecurity. However, the complexity of these networks, with their multidimensional interactions and decisions, presents significant ...

Satellite gravity data such as provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-up mission contain valuable information on all geophysical processes that involve a mass redistribution in the Earth system. However, as ...

Integrating Geospatial Artificial Intelligence (GeoAI) into our technological landscape has revolutionized our capacity to understand and engage with the world. However, the burgeoning adoption of GeoAI applications has emphasized the priority of data, ...

This paper examines the performance of ChatGPT, a large language model (LLM), in a geographic information systems (GIS) exam. As LLMs like ChatGPT become increasingly prevalent in various domains, including education, it is important to understand their ...

Plane segmentation in monocular images plays an important role in understanding the geometry of a 3D environment. However, most previous plane segmentation work focuses mostly on indoor environments since it is hard to create precise planar annotations ...

Vision foundation models are a new frontier in Geospatial Artificial Intelligence (GeoAI), an interdisciplinary research area that applies and extends AI for geospatial problem solving and geographic knowledge discovery, because of their potential to ...

Crater mapping and counting are critical analyses in many planetary science investigations, as the size-frequency distribution of impact craters can be used to measure the age of a planet's surface and interpret its geologic history. Crater counting is ...

Passenger clustering based on trajectory records is essential for transportation operators. However, existing methods cannot easily cluster the passengers due to the hierarchical structure of the passenger trip information, including multiple trips ...