IIIT Bhubaneswar is set to host two major international academic events this December, bringing global researchers, industry leaders, and innovators to Odisha for ...

ABSTRACT: The environmental impacts caused by frequent oil spills along the Congolese coast pose a significant concern. The main objective of this work is to study the dynamics of coastal pollution ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

Abundant, well-annotated multimodal data in remote sensing are pivotal for aligning complex visual remote sensing (RS) scenes with human language, enabling the development of specialized vision ...

Remote sensing AI foundation models, which are large, pre-trained models adaptable to various tasks, dramatically reduce the resources required to perform environmental monitoring, a central task for ...

A team of CU Boulder researchers has introduced a quantum sensing technique that could lead to improvements in how we monitor infrastructure, detect changes in the environment and conduct geophysical ...

Abstract: Deep-learning (DL) algorithms, which learn the representative and discriminative features in a hierarchical manner from the data, have recently become a hotspot in the machine-learning area ...

Ecological environment monitoring plays an indispensable role in achieving sustainable development goals (Zhang et al., 2023; Kamran and Yamamoto, 2023). By monitoring ecological parameters of land, ...

A Long March 2C rocket carrying the SuperView Neo-1 03 and 04 satellites launches from Jiuquan, Feb. 27, 2025. Credit: Ourspace HELSINKI — China added to a commercial high-resolution remote sensing ...

This collection supports and amplifies research related to SDG 15 - Life on land. Remote sensing has emerged as a vital tool for monitoring forests, enabling comprehensive assessments of their ...