Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks

Improved Detection of Inundation below the Forest Canopy using Normalized LiDAR Intensity Data

(2020) Megan W. Lang et al.   Remote Sensing

Smallholder Crop Area Mapped with a Semantic Segmentation Deep Learning Method

(2019) Zhenrong Du et al.   Remote Sensing

Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine

(2019) Qiusheng Wu et al.   REMOTE SENSING OF ENVIRONMENT

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images

(2019) Xin Zhang et al.   Remote Sensing

Using a U-net convolutional neural network to map woody vegetation extent from high resolution satellite imagery across Queensland, Australia

(2019) Neil Flood et al.   International Journal of Applied Earth Observation and Geoinformation

Deep Learning Approaches for the Mapping of Tree Species Diversity in a Tropical Wetland Using Airborne LiDAR and High-Spatial-Resolution Remote Sensing Images

(2019) Ying Sun et al.   Forests

Topographic and physicochemical controls on soil denitrification in prior converted croplands located on the Delmarva Peninsula, USA

(2018) Xia Li et al.   GEODERMA

DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation

(2018) Ruirui Li et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A light and faster regional convolutional neural network for object detection in optical remote sensing images

(2018) Peng Ding et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016

(2018) Zhenhua Zou et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning

(2018) Benjamin Kellenberger et al.   REMOTE SENSING OF ENVIRONMENT

Automated Extraction of Surface Water Extent from Sentinel-1 Data

(2018) Wenli Huang et al.   Remote Sensing

AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy

(2018) Wentao Zhu et al.   MEDICAL PHYSICS

Soil organic carbon and isotope composition response to topography and erosion in Iowa

(2018) Xia Li et al.   Journal of Geophysical Research-Biogeosciences

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Monitoring of wetland inundation dynamics in the Delmarva Peninsula using Landsat time-series imagery from 1985 to 2011

(2017) Huiran Jin et al.   REMOTE SENSING OF ENVIRONMENT

The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware

(2017) Melanie K. Vanderhoof et al.   WETLANDS ECOLOGY AND MANAGEMENT

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

(2017) Ben DeVries et al.   Remote Sensing

Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to Maximize Detection of Forested Inundation Extent in the Delmarva Peninsula, USA

(2017) Melanie Vanderhoof et al.   Remote Sensing

Do geographically isolated wetlands influence landscape functions?

(2016) Matthew J. Cohen et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research

(2016) Reza Khatami et al.   REMOTE SENSING OF ENVIRONMENT

Operational Surface Water Detection and Monitoring Using Radarsat 2

(2016) Sandra Bolanos et al.   Remote Sensing

High-resolution landcover classification using Random Forest

(2014) Matthew M. Hayes et al.   Remote Sensing Letters

Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data

(2013) Chengquan Huang et al.   REMOTE SENSING OF ENVIRONMENT

Topographic Metrics for Improved Mapping of Forested Wetlands

(2012) Megan Lang et al.   WETLANDS

Enhanced Detection of Wetland-Stream Connectivity Using LiDAR

(2012) Megan Lang et al.   WETLANDS

Lidar intensity for improved detection of inundation below the forest canopy

(2009) Megan W. Lang et al.   WETLANDS

Using C-Band Synthetic Aperture Radar Data to Monitor Forested Wetland Hydrology in Maryland's Coastal Plain, USA

(2008) Megan W. Lang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING