Remote sensing and machine learning tools to support wetland monitoring: a meta-analysis of three decades of research
Despite their importance to ecosystem services, wetlands are threatened by pollution and
development. Over the last few decades, a growing number of wetland studies employed …
development. Over the last few decades, a growing number of wetland studies employed …
Status and trends of wetland studies in Canada using remote sensing technology with a focus on wetland classification: A bibliographic analysis
A large portion of Canada is covered by wetlands; map** and monitoring them is of great
importance for various applications. In this regard, Remote Sensing (RS) technology has …
importance for various applications. In this regard, Remote Sensing (RS) technology has …
Swin transformer and deep convolutional neural networks for coastal wetland classification using sentinel-1, sentinel-2, and LiDAR data
The use of machine learning algorithms to classify complex landscapes has been
revolutionized by the introduction of deep learning techniques, particularly in remote …
revolutionized by the introduction of deep learning techniques, particularly in remote …
[HTML][HTML] Extraction of long time series wetland information based on Google Earth Engine and random forest algorithm for a plateau lake basin–A case study of …
F Zhao, S Feng, F ** and monitoring using sentinel data in google earth engine
Wetlands are one of the most important ecosystems due to their critical services to both
humans and the environment. Therefore, wetland map** and monitoring are essential for …
humans and the environment. Therefore, wetland map** and monitoring are essential for …
Forty years of wetland status and trends analyses in the Great Lakes using Landsat archive imagery and Google Earth Engine
Wetlands provide many benefits, such as water storage, flood control, transformation and
retention of chemicals, and habitat for many species of plants and animals. The ongoing …
retention of chemicals, and habitat for many species of plants and animals. The ongoing …
Multimodal information fusion for weather systems and clouds identification from satellite images
C Bai, D Zhao, M Zhang, J Zhang - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Seeing the cloud and then understanding the weather is one of the important means for
people to forecast weather. There has been a certain progress in the use of deep learning …
people to forecast weather. There has been a certain progress in the use of deep learning …
Semantic Segmentation of China's Coastal Wetlands Based on Sentinel-2 and Segformer
X Lin, Y Cheng, G Chen, W Chen, R Chen, D Gao… - Remote Sensing, 2023 - mdpi.com
Concerning the ever-changing wetland environment, the efficient extraction of wetland
information holds great significance for the research and management of wetland …
information holds great significance for the research and management of wetland …