Integrating remote sensing temporal trajectory and survey statistics to update land use/land cover maps

Global 1 km × 1 km gridded revised real gross domestic product and electricity consumption during 1992–2019 based on calibrated nighttime light data

(2022) Jiandong Chen et al.   Scientific Data

A global map of planting years of plantations

(2022) Zhenrong Du et al.   Scientific Data

FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping

(2022) Le Yu et al.   GIScience & Remote Sensing

Mapping 20 years of irrigated croplands in China using MODIS and statistics and existing irrigation products

(2022) Chao Zhang et al.   Scientific Data

Carbon Monitor Cities near-real-time daily estimates of CO2 emissions from 1500 cities worldwide

(2022) Da Huo et al.   Scientific Data

Toward sustainable land use in China: A perspective on China’s national land surveys

(2022) Xin Chen et al.   LAND USE POLICY

Evaluation of survey and remote sensing data products used to estimate land use change in the United States: Evolving issues and emerging opportunities

(2021) Minzi Wang et al.   ENVIRONMENTAL SCIENCE & POLICY

The migration of training samples towards dynamic global land cover mapping

(2020) Huabing Huang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm

(2020) Yidi Xu et al.   Science China-Earth Sciences

Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review

(2020) Ava Vali et al.   Remote Sensing

Continuous monitoring of land disturbance based on Landsat time series

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

Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product

(2019) Damien Sulla-Menashe 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

Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data

(2018) Xiaoxuan Liu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm

(2018) Yongjun Yang et al.   JOURNAL OF CLEANER PRODUCTION

Spatiotemporal patterns and characteristics of land-use change in China during 2010–2015

(2018) Jia Ning et al.   Journal of Geographical Sciences

The Potential of Spectral Indices in Detecting Various Stages of Afforestation over the Loess Plateau Region of China

(2018) Jing Guo et al.   Remote Sensing

Cloud detection algorithm comparison and validation for operational Landsat data products

(2017) Steve Foga et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

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

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

(2017) Congcong Li et al.   Science Bulletin

Suitability of Global Forest Change data to report forest cover estimates at national level in Gabon

(2016) Christophe Sannier et al.   REMOTE SENSING OF ENVIRONMENT

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

(2016) Eric Vermote et al.   REMOTE SENSING OF ENVIRONMENT

Generating global crop distribution maps: From census to grid

(2014) Liangzhi You et al.   AGRICULTURAL SYSTEMS

Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s

(2014) Jiyuan Liu et al.   Journal of Geographical Sciences

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

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

Good practices for estimating area and assessing accuracy of land change

(2014) Pontus Olofsson et al.   REMOTE SENSING OF ENVIRONMENT

FROM-GC: 30 m global cropland extent derived through multisource data integration

(2013) Le Yu et al.   International Journal of Digital Earth

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

(2013) M. C. Hansen et al.   SCIENCE

The role of satellite remote sensing in climate change studies

(2013) Jun Yang et al.   Nature Climate Change

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

Spatial patterns and driving forces of land use change in China during the early 21st century

(2010) Jiyuan Liu et al.   Journal of Geographical Sciences

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

A hybrid approach to mapping land-use modification and land-cover transition from MODIS time-series data: A case study from the Bolivian seasonal tropics

(2010) Daniel J. Redo et al.   REMOTE SENSING OF ENVIRONMENT

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

(2009) Mark A. Friedl et al.   REMOTE SENSING OF ENVIRONMENT