Journal of Remote Sensing Special Issue

Remote Sensing for Environmental and Societal Changes Using Google Earth Engine

Journal of Remote Sensing, a Science Partner Journal, is now considering submissions for its first special issue, Remote Sensing for Environmental and Societal Changes Using Google Earth Engine.

Scope

The Earth is constantly changing, bringing forth profound challenges for the environment and human society. To address these challenges at the global scale, the remote sensing community relies heavily on geospatial datasets acquired from satellite, airborne, and mobile sensors. However, the explosive growth in geospatial datasets during the past decades is overwhelming the remote sensing community’s capacity for storage, analysis, and visualization. The advent of the Google Earth Engine (GEE) cloud-computing platform makes it possible to access, manipulate, and analyze large volumes of geospatial datasets on-the-fly. GEE contains a huge public data catalog with over 35 petabytes of satellite imagery and geospatial datasets, such as Landsat, Sentinel, MODIS, and NAIP. New satellite imagery and geospatial datasets are added to the public data catalog on a daily basis. During the past few years, GEE has become very popular in the remote sensing community and has empowered numerous Earth science studies at local, regional, and global scales (see https://earthobservations.org/article.php?id=447).

This special issue from Journal of Remote Sensing will provide an outlet for state-of-the-art GEE applications for benefit of the environment and human society at various spatial and temporal scales, as well as prospects for future development. Review articles on GEE applications and articles that include machine learning, deep learning, artificial intelligence, object identification, change detection, as well as multi-sensor (e.g., short and long wave multispectral, SIF, SAR, LiDAR, Low-Earth Orbit and Geosynchronous Equatorial Orbit) data analysis, including spatial-temporal-spectral fusion, are especially encouraged.

Potential topics for this special issue may include, but are not limited to, novel applications and advances of GEE as applied to the environment and society:

• Land use and land cover mapping and change analysis
• Mapping of changes in urban areas and infrastructure
• Ecosystem monitoring, assessment, and response to climate change
• Vegetation mapping and modeling
• Assessment and monitoring of greenhouse gas emissions
• Urban heat island effect and thermal sensing
• Disaster mapping and change analysis
• Spatio-temporal analysis of air, soil, vegetation, and water quality
• Mapping and monitoring of natural resources (e.g., water, forest, wetland, grassland)
• Review of GEE-based projects, progress, and perspectives

土地利用和土地覆盖制图和变化分析
城市地区和基础设施变化的测绘
生态系统监测、评估和对气候变化的反应
植被制图和建模
温室气体排放的评估和监测
城市热岛效应和热感应
灾害测绘和变化分析
空气、土壤、植被和水质量的时空分析
自然资源（如水、森林、湿地、草原）的测绘和监测
对基于GEE的项目、进展和前景的回顾

Guest Editors

Dr. Nicholas Clinton, Google, Inc., USA (nclinton@google.com)

Dr. Gennadii Donchyts, Deltares, The Netherlands (gennadii.donchyts@deltares.nl)

Dr. Jinwei Dong, Chinese Academy of Sciences, China (dongjw@igsnrr.ac.cn)

Dr. Qiusheng Wu, University of Tennessee, Knoxville, USA (qwu18@utk.edu)

Dr. Le Yu, Tsinghua University, China (leyu@tsinghua.edu.cn)

Dr. Yelu Zeng, University of Wisconsin‐Madison, USA (zeng74@wisc.edu)

Submission Deadline

Manuscripts may be submitted starting July 1, 2021 and through June 30, 2022.

Submission Instructions

Please indicate in your cover letter that your submission is intended for inclusion in the special issue, Remote Sensing for Environmental and Societal Changes Using Google Earth Engine. There are no submission fees and article processing charges (APCs) are waived through June 2023.

• Submit to this Special Issue

Disclaimer

Google Earth Engine analytics platform is a trademark of Google LLC and this special issue is not endorsed by or affiliated with Google in any way.

 首次建议大家先注册：

文章来源: blog.csdn.net，作者：此星光明2021年博客之星云计算Top3，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/qq_31988139/article/details/120201956