Earth system science has changed rapidly due to global environmental changes and the
advent of Earth observation technology. Therefore, new tools are required to monitor …

As a newly emerging technology, deep learning (DL) is a very promising field in big data
applications. Remote sensing often involves huge data volumes obtained daily by numerous …

Floods have claimed the lives of countless people and caused significant property damage
in many countries, putting their livelihoods in the jeopardy. The Vembanad lake system …

The rapid development of remote sensing technology has enabled accumulation of massive
earth observation data in recent years. Traditional desktop-based remote sensing platforms …

The High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working
Group (WG) was recently established under the IEEE Geoscience and Remote Sensing …

While our knowledge of tropical montane forests (TMFs) is limited, human activities continue
to damage them. Remote sensing has shown its usefulness for forest investigations with …

**年来, 随着遥感技术的快速发展, 积累了海量的对地观测遥感数据. 传统桌面端遥感处理**台(
例如ERDAS 和ENVI 等) 无法满足当前遥感大数据的应用需求. 作为领先的遥感云计算**台 …

The majority of cloud applications are created or delivered to provide users with access to
system resources or prebuilt processing algorithms for efficient data storage, management …

Bali island has become a pioneer destination for the best tourist destinations in Indonesia,
even in the world. Furthermore, the island of Lombok also has interesting tourist destinations …

The present survey examines the role of big data analytics in advancing remote sensing and
geospatial analysis. The increasing volume and complexity of geospatial data are driving …