An attention U-Net model for detection of fine-scale hydrologic streamlines

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Clustering river profiles to classify geomorphic domains

(2019) Fiona J. Clubb et al.   JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE

Developing a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data

(2018) Ying Sun et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery

(2018) Zewei Xu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Text feature extraction based on deep learning: a review

(2017) Hong Liang et al.   EURASIP Journal on Wireless Communications and Networking

High-Resolution Aerial Image Labeling With Convolutional Neural Networks

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spatial and temporal variability in the effects of wildfire and drought on thermal habitat for a desert trout

(2017) L.D. Schultz et al.   JOURNAL OF ARID ENVIRONMENTS

Why Does Deep and Cheap Learning Work So Well?

(2017) Henry W. Lin et al.   JOURNAL OF STATISTICAL PHYSICS

Comparison of flash lidar detector options

(2017) Paul F. McManamon et al.   OPTICAL ENGINEERING

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

GeoNet: An open source software for the automatic and objective extraction of channel heads, channel network, and channel morphology from high resolution topography data

(2016) Harish Sangireddy et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Impervious surface extraction in imbalanced datasets: integrating partial results and multi-temporal information in an iterative one-class classifier

(2016) Zewei Xu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Conceptual Framework for the National Flood Interoperability Experiment

(2016) David R. Maidment   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Parallel Landscape Driven Data Reduction & Spatial Interpolation Algorithm for Big LiDAR Data

(2016) Rahil Sharma et al.   ISPRS International Journal of Geo-Information

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Wet channel network extraction by integrating LiDAR intensity and elevation data

(2015) Milad Hooshyar et al.   WATER RESOURCES RESEARCH

GIS-Based Stream Classification in a Mountain Watershed for Jurisdictional Evaluation

(2014) Brian S. Caruso   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Comparing the Extent and Permanence of Headwater Streams From Two Field Surveys to Values From Hydrographic Databases and Maps

(2013) Ken M. Fritz et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Hydrography Change Detection: The Usefulness of Surface Channels Derived From LiDAR DEMs for Updating Mapped Hydrography1

(2013) Sandra K. Poppenga et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models

(2013) Michael Doneus   Remote Sensing

Application of the topographic position index to heterogeneous landscapes

(2012) Jeroen De Reu et al.   GEOMORPHOLOGY

Automatic geomorphic feature extraction from lidar in flat and engineered landscapes

(2012) Paola Passalacqua et al.   WATER RESOURCES RESEARCH

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths

(2010) Paola Passalacqua et al.   JOURNAL OF GEOPHYSICAL RESEARCH