Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …

The Sustainable Development Goals (SDG) framework aims to end poverty, improve health
and education, reduce inequality, design sustainable cities, support economic growth, tackle …

This article aims to investigate how circuit-based hybrid quantum convolutional neural
networks (QCNNs) can be successfully employed as image classifiers in the context of …

Ethics is a central and growing concern in all applications utilizing artificial intelligence (AI).
Earth observation (EO) and remote sensing (RS) research relies heavily on both big data …

Surface reflectance data with high resolutions in both space and time have been desired
and demanded by scientific research and societal applications. Standard satellite missions …

New space is a misleading expression. Many new trends steer the evolution of space
activities. Development of commercial space, with start-ups and space ventures, is one of …

For decades, space activities were the exclusive domain of government agencies and big
contractors, delivered indirect benefits such as international prestige and became a genuine …

To fulfill the mission of targets recognition over sea, a bi-satellite cluster composed of an
autonomous low resolution satellite (LRS) leading the formation for targets detection and a …

Remote sensing technologies are integral to monitoring the mountain cryosphere in a
warming world. Satellite missions and field-based platforms have transformed …

The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-
B-2,“Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image …