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Remote Sensing and Geospatial Approaches for Studying the...

Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities

Jun Li, Xinyi Shen, Qiusheng Wu, Chengye Zhang, (eds.)
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We are delighted to introduce this Reprint, showcasing a compilation of insightful scientific contributions spanning diverse fields. This collection centers on the significant realm of environments influenced by human activities, highlighting the essential role of remote sensing and geospatial approaches. Our goal with this compilation is to offer a comprehensive overview of state-of-the-art research and advancements in the covered subjects.
As Guest Editors, we are curating this Reprint with the aim of promoting knowledge sharing and fostering collaboration among experts and enthusiasts in these fields. We are confident that this collection will be a useful resource for our audience.
This compilation from the perspectives of new theories, datasets, methods, findings, and applications delves into essential questions: How can we monitor the environmental alteration by human activities at different spatiotemporal scales? How can we quantify, evaluate, and predict the impact of human activities on the environment? How can we decompose or evaluate the compound influence of various natural disturbances and human alteration on the environment? What is the corresponding pattern or mechanism of the environmental evolution to different human activities?
Through this Special Issue, we aim to foster knowledge exchange, encourage innovative research from diverse perspectives, and make scientific contributions to the environmental protection and governance affected by a variety of human activities.
We would like to express our sincere gratitude to all the authors who submitted their high-quality manuscripts to this Special Issue. We also thank all the reviewers who provided constructive comments and suggestions to improve the manuscripts. We appreciate the support and guidance from the editorial team of Remote Sensing.
Năm:
2023
Nhà xuát bản:
MDPI
Ngôn ngữ:
english
Trang:
256
File:
PDF, 64.23 MB
IPFS:
CID , CID Blake2b
english, 2023
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