[1]
|
Multi-nomenclature, multi-resolution joint translation: an application to land-cover mapping
International Journal of Geographical Information Science,
2023
DOI:10.1080/13658816.2022.2120996
|
|
|
[2]
|
An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach
Earth System Science Data,
2023
DOI:10.5194/essd-15-2347-2023
|
|
|
[3]
|
Grasses and Grassland - New Perspectives
2022
DOI:10.5772/intechopen.100557
|
|
|
[4]
|
Multi-nomenclature, multi-resolution joint translation: an application to land-cover mapping
International Journal of Geographical Information Science,
2022
DOI:10.1080/13658816.2022.2120996
|
|
|
[5]
|
Integrating global land cover products to refine GlobeLand30 forest types: a case study of conterminous United States (CONUS)
International Journal of Remote Sensing,
2021
DOI:10.1080/01431161.2020.1851797
|
|
|
[6]
|
Global Land Cover Assessment Using Spatial Uniformity Validation Dataset
Remote Sensing,
2021
DOI:10.3390/rs13152950
|
|
|
[7]
|
A hierarchical analysis of ecosystem classification with implementing in two continental ecoregions
Environmental Systems Research,
2021
DOI:10.1186/s40068-021-00243-3
|
|
|
[8]
|
Biogeochemical Cycles
Geophysical Monograph Series,
2020
DOI:10.1002/9781119413332.ch11
|
|
|
[9]
|
Land cover harmonization using Latent Dirichlet Allocation
International Journal of Geographical Information Science,
2020
DOI:10.1080/13658816.2020.1796131
|
|
|
[10]
|
Analyzing the Uncertainty of Degree Confluence Project for Validating Global Land-Cover Maps Using Reference Data-Based Classification Schemes
Remote Sensing,
2020
DOI:10.3390/rs12162589
|
|
|
[11]
|
A global land cover map produced through integrating multi-source datasets
Big Earth Data,
2019
DOI:10.1080/20964471.2019.1663627
|
|
|
[12]
|
Data Fusion and Accuracy Analysis of Multi-Source Land Use/Land Cover Datasets along Coastal Areas of the Maritime Silk Road
ISPRS International Journal of Geo-Information,
2019
DOI:10.3390/ijgi8120557
|
|
|
[13]
|
A Bayesian approach to mapping the uncertainties of global urban lands
Landscape and Urban Planning,
2018
DOI:10.1016/j.landurbplan.2018.07.016
|
|
|
[14]
|
Integrating global land cover datasets for deriving user-specific maps
International Journal of Digital Earth,
2017
DOI:10.1080/17538947.2016.1217942
|
|
|
[15]
|
Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics
Remote Sensing of Environment,
2015
DOI:10.1016/j.rse.2015.02.011
|
|
|
[16]
|
Spatial Accuracy Assessment and Integration of Global Land Cover Datasets
Remote Sensing,
2015
DOI:10.3390/rs71215804
|
|
|
[17]
|
Usability of VGI for validation of land cover maps
International Journal of Geographical Information Science,
2015
DOI:10.1080/13658816.2015.1018266
|
|
|
[18]
|
Creation of a global land cover and a probability map through a new map integration method
International Journal of Applied Earth Observation and Geoinformation,
2014
DOI:10.1016/j.jag.2013.10.006
|
|
|
[19]
|
Category Estimation of Landscape Image
Journal of the Japan Society for Precision Engineering,
2014
DOI:10.2493/jjspe.80.1189
|
|
|