Towards synoptic water monitoring systems: a review of AI methods for automating water body detection and water quality monitoring using remote sensing

L Yang, J Driscol, S Sarigai, Q Wu, CD Lippitt… - Sensors, 2022 - mdpi.com
Water features (eg, water quantity and water quality) are one of the most important
environmental factors essential to improving climate-change resilience. Remote sensing …

Change detection of deforestation in the Brazilian Amazon using landsat data and convolutional neural networks

PP De Bem, OA de Carvalho Junior… - Remote Sensing, 2020 - mdpi.com
Mapping deforestation is an essential step in the process of managing tropical rainforests. It
lets us understand and monitor both legal and illegal deforestation and its implications …

Extraction of urban water bodies from high-resolution remote-sensing imagery using deep learning

Y Chen, R Fan, X Yang, J Wang, A Latif - Water, 2018 - mdpi.com
Accurate information on urban surface water is important for assessing the role it plays in
urban ecosystem services in the context of human survival and climate change. The precise …

An urban water extraction method combining deep learning and Google Earth engine

Y Wang, Z Li, C Zeng, GS Xia… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Urban water is important for the urban ecosystem. Accurate and efficient detection of urban
water with remote sensing data is of great significance for urban management and planning …

A review of remote sensing image segmentation by deep learning methods

J Li, Y Cai, Q Li, M Kou, T Zhang - International Journal of Digital …, 2024 - Taylor & Francis
Remote sensing (RS) images enable high-resolution information collection from complex
ground objects and are increasingly utilized in the earth observation research. Recently, RS …

[PDF][PDF] 特约文章: 水利大数据研究现状与展望

蒋云钟, 冶运涛, 赵红莉, 梁犁丽, 曹引, 顾晶晶 - 水力发电学报, 2020 - slfdxb.cn
水利管理对象数量大, 类型多, 空间分布广, 运行环境复杂, 交织作用因素众多,
对其进行全生命周期的精细化管控极其困难. 将以关联分析为特点的水利大数据技术和以因果 …

A deep learning method of water body extraction from high resolution remote sensing images with multisensors

M Li, P Wu, B Wang, H Park, H Yang… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Water body extraction from remote sensing images is an important task. Deep learning has
become a more popular method for extracting water bodies from remote sensing images …

Water spread mapping of multiple lakes using remote sensing and satellite data

V Deoli, D Kumar, M Kumar, A Kuriqi… - Arabian Journal of …, 2021 - Springer
The situated lakes in Uttarakhand India attract every year lakhs of tourists for their
picturesque features. The water from these lakes is also used for irrigation and domestic …

A modular processing chain for automated flood monitoring from multi-spectral satellite data

M Wieland, S Martinis - Remote Sensing, 2019 - mdpi.com
Emergency responders frequently request satellite-based crisis information for flood
monitoring to target the often-limited resources and to prioritize response actions throughout …

MSResNet: Multiscale residual network via self-supervised learning for water-body detection in remote sensing imagery

B Dang, Y Li - Remote Sensing, 2021 - mdpi.com
Driven by the urgent demand for flood monitoring, water resource management and
environmental protection, water-body detection in remote sensing imagery has attracted …