Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

UNVI-Based Time Series for Vegetation Discrimination Using Separability Analysis and Random Forest Classification

(2020) Hualiang Liu et al.   Remote Sensing

The Impact of Pan-Sharpening and Spectral Resolution on Vineyard Segmentation through Machine Learning

(2020) Eriita G. Jones et al.   Remote Sensing

Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling

(2020) Yan Zhao et al.   Remote Sensing

Spatio-Temporal Analysis of Oil Spill Impact and Recovery Pattern of Coastal Vegetation and Wetland Using Multispectral Satellite Landsat 8-OLI Imagery and Machine Learning Models

(2020) Abdul-Lateef Balogun et al.   Remote Sensing

Tree, Shrub, and Grass Classification Using Only RGB Images

(2020) Bulent Ayhan et al.   Remote Sensing

An Optimized Object-Based Random Forest Algorithm for Marsh Vegetation Mapping Using High-Spatial-Resolution GF-1 and ZY-3 Data

(2020) Peiqing Lou et al.   Remote Sensing

Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland

(2020) Mohammad Pashaei et al.   Remote Sensing

Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities

(2020) Saheba Bhatnagar et al.   Remote Sensing

Monitoring the Vegetation Dynamics in the Dongting Lake Wetland from 2000 to 2019 Using the BEAST Algorithm Based on Dense Landsat Time Series

(2020) Yaotong Cai et al.   Applied Sciences-Basel

Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote Sensing

(2020) Sophie Fabre et al.   SENSORS

Exploring Wetland Dynamics in Large River Floodplain Systems with Unsupervised Machine Learning: A Case Study of the Dongting Lake, China

(2020) Lei Jing et al.   Remote Sensing

Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam

(2020) Kinh Bac Dang et al.   Remote Sensing

A Multi Sensor Approach to Forest Type Mapping for Advancing Monitoring of Sustainable Development Goals (SDG) in Myanmar

(2020) Sumalika Biswas et al.   Remote Sensing

Mapping of Major Land-Use Changes in the Kolleru Lake Freshwater Ecosystem by Using Landsat Satellite Images in Google Earth Engine

(2020) Meena Kumari Kolli et al.   Water

Deep neural network for complex open-water wetland mapping using high-resolution WorldView-3 and airborne LiDAR data

(2020) Vitor S. Martins et al.   International Journal of Applied Earth Observation and Geoinformation

Assessment of Convolution Neural Networks for Wetland Mapping with Landsat in the Central Canadian Boreal Forest Region

(2019) Darren Pouliot et al.   Remote Sensing

Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results

(2019) Meisam Amani et al.   Remote Sensing

Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers

(2019) Tharindu Abeysinghe et al.   Remote Sensing

Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture

(2019) Junho Yeom et al.   Remote Sensing

The capability of species-related forest stand characteristics determination with the use of hyperspectral data

(2019) Martyna Wietecha et al.   REMOTE SENSING OF ENVIRONMENT

Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems

(2019) Andrei Stoian et al.   Remote Sensing

Land-Cover Classification of Coastal Wetlands Using the RF Algorithm for Worldview-2 and Landsat 8 Images

(2019) Xiaoxue Wang et al.   Remote Sensing

Mapping potential, existing and efficient wetlands using free remote sensing data

(2019) S. Rapinel et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Spectral vegetation indices of wetland greenness: Responses to vegetation structure, composition, and spatial distribution

(2019) Sophie Taddeo et al.   REMOTE SENSING OF ENVIRONMENT

Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada

(2019) Evan R. DeLancey et al.   Remote Sensing

A new synergistic approach for monitoring wetlands using Sentinels -1 and 2 data with object-based machine learning algorithms

(2018) Andrew Whyte et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

(2018) Tao Liu et al.   GIScience & Remote Sensing

Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery

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

Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification

(2018) Tao Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands

(2018) Fariba Mohammadimanesh et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Enabling efficient, large-scale high-spatial resolution wetland mapping using satellites

(2018) Matthew J. McCarthy et al.   REMOTE SENSING OF ENVIRONMENT

Fisher Linear Discriminant Analysis of coherency matrix for wetland classification using PolSAR imagery

(2018) Masoud Mahdianpari et al.   REMOTE SENSING OF ENVIRONMENT

Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory

(2018) Tedros Berhane et al.   Remote Sensing

Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models

(2018) Jingjing Cao et al.   Remote Sensing

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

(2018) Masoud Mahdianpari et al.   Remote Sensing

How up-scaling of remote-sensing images affects land-cover classification by comparison with multiscale satellite images

(2018) Kaijian Xu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

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

Wetland classification using Radarsat-2 SAR quad-polarization and Landsat-8 OLI spectral response data: a case study in the Hudson Bay Lowlands Ecoregion

(2017) Steven E. Franklin et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping

(2017) Jennifer Hird et al.   Remote Sensing

Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil

(2017) Camile Sothe et al.   Remote Sensing

Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

(2017) Jordi Inglada et al.   Remote Sensing

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

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

The Enhanced Vegetation Index (EVI) as a proxy for diet quality and composition in a mountain ungulate

(2016) Miriam Villamuelas et al.   ECOLOGICAL INDICATORS

SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity

(2016) Alfonso Fernández-Manso et al.   International Journal of Applied Earth Observation and Geoinformation

Mid-Season High-Resolution Satellite Imagery for Forecasting Site-Specific Corn Yield

(2016) Nahuel Peralta et al.   Remote Sensing

Water Bodies’ Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band

(2016) Yun Du et al.   Remote Sensing

Random Forest Classification of Wetland Landcovers from Multi-Sensor Data in the Arid Region of Xinjiang, China

(2016) Shaohong Tian et al.   Remote Sensing

Mangrove Mapping and Change Detection in Ca Mau Peninsula, Vietnam, Using Landsat Data and Object-Based Image Analysis

(2015) Nguyen-Thanh Son et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Wetland Degradation: Its Driving Forces and Environmental Impacts in the Sanjiang Plain, China

(2014) Kaishan Song et al.   ENVIRONMENTAL MANAGEMENT

Multitemporal classification of TerraSAR-X data for wetland vegetation mapping

(2014) Julie Betbeder et al.   Journal of Applied Remote Sensing

Improved Wetland Classification Using Eight-Band High Resolution Satellite Imagery and a Hybrid Approach

(2014) Charles Lane et al.   Remote Sensing

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery

(2011) R. C. Frohn et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A review of published wetland research, 1991–2008: Ecological engineering and ecosystem restoration

(2010) Liang Zhang et al.   ECOLOGICAL ENGINEERING

Identifying wetland change in China’s Sanjiang Plain using remote sensing

(2009) Shuqing Zhang et al.   WETLANDS

Shadow detection in colour high‐resolution satellite images

(2008) V. Arévalo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING