A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping

Conterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database

(2020) Collin Homer et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series

(2020) Amy H. Pickens et al.   REMOTE SENSING OF ENVIRONMENT

Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2

(2020) Yan Cheng et al.   REMOTE SENSING OF ENVIRONMENT

Continuous monitoring of land disturbance based on Landsat time series

(2019) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

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

Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program

(2019) Bruce W. Pengra et al.   REMOTE SENSING OF ENVIRONMENT

Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

(2019) Jesslyn F. Brown et al.   REMOTE SENSING OF ENVIRONMENT

First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields

(2019) Mohammad El Hajj et al.   Remote Sensing

Annual maps of global artificial impervious area (GAIA) between 1985 and 2018

(2019) Peng Gong et al.   REMOTE SENSING OF ENVIRONMENT

Impacts of past abrupt land change on local biodiversity globally

(2019) Martin Jung et al.   Nature Communications

Overall Methodology Design for the United States National Land Cover Database 2016 Products

(2019) Suming Jin et al.   Remote Sensing

High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform

(2018) Xiaoping Liu et al.   REMOTE SENSING OF ENVIRONMENT

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

(2018) Andrew D. Richardson et al.   Scientific Data

Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications

(2017) Zhe Zhu   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification

(2017) Hankui K. Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD)

(2017) James Wickham et al.   REMOTE SENSING OF ENVIRONMENT

The impact of anthropogenic land use and land cover change on regional climate extremes

(2017) Kirsten L. Findell et al.   Nature Communications

Estimation of SOS and EOS for Midwestern US Corn and Soybean Crops

(2017) et al.   Remote Sensing

The first all-season sample set for mapping global land cover with Landsat-8 data

(2017) Congcong Li et al.   Science Bulletin

A global dataset of crowdsourced land cover and land use reference data

(2017) Steffen Fritz et al.   Scientific Data

A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping

(2016) Victor Maus et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative

(2016) Zhe Zhu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

High-resolution mapping of global surface water and its long-term changes

(2016) Jean-François Pekel et al.   NATURE

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

Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers

(2016) Konrad Wessels et al.   Remote Sensing

Integrating Crowdsourced Data with a Land Cover Product: A Bayesian Data Fusion Approach

(2016) Sarah Gengler et al.   Remote Sensing

Global forest area disturbance from fire, insect pests, diseases and severe weather events

(2015) Pieter van Lierop et al.   FOREST ECOLOGY AND MANAGEMENT

Global land cover mapping at 30m resolution: A POK-based operational approach

(2015) Jun Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Meta-discoveries from a synthesis of satellite-based land-cover mapping research

(2014) Le Yu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Assessing bioenergy-driven agricultural land use change and biomass quantities in the U.S. Midwest with MODIS time series

(2014) Cuizhen Wang et al.   Journal of Applied Remote Sensing

Continuous change detection and classification of land cover using all available Landsat data

(2014) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery

(2014) Congcong Li et al.   Remote Sensing

High-Resolution Global Maps of 21st-Century Forest Cover Change

(2013) M. C. Hansen et al.   SCIENCE

Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

(2012) Peng Gong et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Near real-time disturbance detection using satellite image time series

(2012) Jan Verbesselt et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring Wetland Change Using Inter-Annual Landsat Time-Series Data

(2012) Nilam Kayastha et al.   WETLANDS

The impact of global land-cover change on the terrestrial water cycle

(2012) Shannon M. Sterling et al.   Nature Climate Change

Solutions for a cultivated planet

(2011) Jonathan A. Foley et al.   NATURE

Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models

(2010) Simon N. Wood   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s

(2010) H. K. Gibbs et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

(2010) Jan Verbesselt et al.   REMOTE SENSING OF ENVIRONMENT

LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment

(2009) Matthew G. Rollins   INTERNATIONAL JOURNAL OF WILDLAND FIRE

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

(2009) Chengquan Huang et al.   REMOTE SENSING OF ENVIRONMENT

Detecting trend and seasonal changes in satellite image time series

(2009) Jan Verbesselt et al.   REMOTE SENSING OF ENVIRONMENT

Land-use change and environmental sustainability

(2009) Ademola K. Braimoh et al.   Sustainability Science