Deep learning models for river classification at sub-meter resolutions from multispectral and panchromatic commercial satellite imagery
出版年份 2022 全文链接
标题
Deep learning models for river classification at sub-meter resolutions from multispectral and panchromatic commercial satellite imagery
作者
关键词
-
出版物
REMOTE SENSING OF ENVIRONMENT
Volume 282, Issue -, Pages 113279
出版商
Elsevier BV
发表日期
2022-09-28
DOI
10.1016/j.rse.2022.113279
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Using deep learning for automatic water stage measurements
- (2021) Anette Eltner et al. WATER RESOURCES RESEARCH
- Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices
- (2021) Thomas James et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Towards global flood mapping onboard low cost satellites with machine learning
- (2021) Gonzalo Mateo-Garcia et al. Scientific Reports
- The Surface Water and Ocean Topography (SWOT) Mission River Database (SWORD): A Global River Network for Satellite Data Products
- (2021) Elizabeth H. Altenau et al. WATER RESOURCES RESEARCH
- Recent changes to Arctic river discharge
- (2021) Dongmei Feng et al. Nature Communications
- Constraining Remote River Discharge Estimation Using Reach‐Scale Geomorphology
- (2020) C. B. Brinkerhoff et al. WATER RESOURCES RESEARCH
- Adopting deep learning methods for airborne RGB fluvial scene classification
- (2020) Patrice E. Carbonneau et al. REMOTE SENSING OF ENVIRONMENT
- Comparing Discharge Estimates Made via the BAM Algorithm in High‐Order Arctic Rivers Derived Solely From Optical CubeSat, Landsat, and Sentinel‐2 Data
- (2019) Dongmei Feng et al. WATER RESOURCES RESEARCH
- Seeing Through the Clouds With DeepWaterMap
- (2019) Leo F. Isikdogan et al. IEEE Geoscience and Remote Sensing Letters
- Estimating River Surface Elevation From ArcticDEM
- (2018) Chunli Dai et al. GEOPHYSICAL RESEARCH LETTERS
- Land-use scene classification based on a CNN using a constrained extreme learning machine
- (2018) Qian Weng et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review
- (2018) Chang Huang et al. REVIEWS OF GEOPHYSICS
- Global extent of rivers and streams
- (2018) George H. Allen et al. SCIENCE
- An Object-Based Image Analysis Method for Enhancing Classification of Land Covers Using Fully Convolutional Networks and Multi-View Images of Small Unmanned Aerial System
- (2018) Tao Liu et al. Remote Sensing
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- (2017) Noel Gorelick et al. REMOTE SENSING OF ENVIRONMENT
- High-resolution mapping of global surface water and its long-term changes
- (2016) Jean-François Pekel et al. NATURE
- Patterns of river width and surface area revealed by the satellite-derived North American River Width data set
- (2015) George H. Allen et al. GEOPHYSICAL RESEARCH LETTERS
- Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers
- (2015) Byoung Ko et al. SENSORS
- Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
- (2013) Gudina L. Feyisa et al. REMOTE SENSING OF ENVIRONMENT
- Estimating surface water area changes using time-series Landsat data in the Qingjiang River Basin, China
- (2012) Zhiqiang Du et al. Journal of Applied Remote Sensing
- Large-scale river flow archives: importance, current status and future needs
- (2010) David M. Hannah et al. HYDROLOGICAL PROCESSES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now