How to automate timely large-scale mangrove mapping with remote sensing

Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine

(2021) Mingming Jia et al.   REMOTE SENSING OF ENVIRONMENT

The Second Generation Canadian Wetland Inventory Map at 10 Meters Resolution Using Google Earth Engine

(2020) Masoud Mahdianpari et al.   CANADIAN JOURNAL OF REMOTE SENSING

Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion

(2020) Jinyan Tian et al.   REMOTE SENSING OF ENVIRONMENT

A summary of the special issue on remote sensing of land change science with Google earth engine

(2020) Le Wang et al.   REMOTE SENSING OF ENVIRONMENT

The Google Earth Engine Mangrove Mapping Methodology (GEEMMM)

(2020) J. Maxwell M. Yancho et al.   Remote Sensing

Brazilian Mangrove Status: Three Decades of Satellite Data Analysis

(2019) Cesar Diniz et al.   Remote Sensing

A review of remote sensing for mangrove forests: 1956–2018

(2019) Le Wang et al.   REMOTE SENSING OF ENVIRONMENT

A New Vegetation Index to Detect Periodically Submerged Mangrove Forest Using Single-Tide Sentinel-2 Imagery

(2019) Jia et al.   Remote Sensing

Monitoring loss and recovery of mangrove forests during 42 years: The achievements of mangrove conservation in China

(2018) Mingming Jia et al.   International Journal of Applied Earth Observation and Geoinformation

Mapping Mangrove Extent and Change: A Globally Applicable Approach

(2018) Nathan Thomas et al.   Remote Sensing

Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine

(2018) Xinxin Wang et al.   REMOTE SENSING OF ENVIRONMENT

The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent

(2018) Pete Bunting et al.   Remote Sensing

A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform

(2017) Bangqian Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Estimating Mangrove Canopy Height and Above-Ground Biomass in the Everglades National Park with Airborne LiDAR and TanDEM-X Data

(2017) Emanuelle A. Feliciano et al.   Remote Sensing

Distribution and drivers of global mangrove forest change, 1996–2010

(2017) Nathan Thomas et al.   PLoS One

Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21)

(2016) Stuart E. Hamilton et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Effect of training strategy for positive and unlabelled learning classification: test on Landsat imagery

(2016) Xuehong Chen et al.   Remote Sensing Letters

Observation and Monitoring of Mangrove Forests Using Remote Sensing: Opportunities and Challenges

(2016) Chandra Giri   Remote Sensing

Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples

(2016) Francesco Vuolo et al.   Remote Sensing

Landsat-Based Estimation of Mangrove Forest Loss and Restoration in Guangxi Province, China, Influenced by Human and Natural Factors

(2015) Mingming Jia et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Distribution and dynamics of mangrove forests of South Asia

(2015) Chandra Giri et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012

(2015) Daniel R. Richards et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Mapping and Monitoring Assessment of the Philippines' Mangrove Forests from 1990 to 2010

(2014) Jordan Long et al.   JOURNAL OF COASTAL RESEARCH

One-class classification: taxonomy of study and review of techniques

(2014) Shehroz S. Khan et al.   KNOWLEDGE ENGINEERING REVIEW

Automated Training Sample Extraction for Global Land Cover Mapping

(2014) Julien Radoux et al.   Remote Sensing

Mapping China’s mangroves based on an object-oriented classification of Landsat imagery

(2013) Mingming Jia et al.   WETLANDS

Py6S: A Python interface to the 6S radiative transfer model

(2012) R.T. Wilson   COMPUTERS & GEOSCIENCES

Mangroves among the most carbon-rich forests in the tropics

(2011) Daniel C. Donato et al.   Nature Geoscience

Status and distribution of mangrove forests of the world using earth observation satellite data

(2010) C. Giri et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data

(2010) Wenkai Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Sea-Level Rise and Its Impact on Coastal Zones

(2010) R. J. Nicholls et al.   SCIENCE