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APPLICATION OF DEEP LEARNING IN GLOBELAND30-2010 PRODUCT REFINEMENT
GlobeLand30-2010 Deep learning Google Earth Training sample set High resolution images
2018/5/15
GlobeLand30, as one of the best Global Land Cover (GLC) product at 30-m resolution, has been widely used in many research fields. Due to the significant spectral confusion among different land cover t...
VISUAL TOOLS FOR CROWDSOURCING DATA VALIDATION WITHIN THE GLOBELAND30 GEOPORTAL
Crowdsourcing global land cover visual tools Globeland30 volunteered geographic information sense making visualization
2016/12/1
This research aims to investigate the role of visualization of the user generated data that can empower the geoportal of GlobeLand30 produced by NGCC (National Geomatics Center of China). The focus is...
UNCERTAINTY ASSESSMENT OF GLOBELAND30 LAND COVER DATA SET OVER CENTRAL ASIA
GlobeLand30 land cover remote sensing accuracy Central Asia
2016/12/1
GlobeLand30, the world’s first 30m-resolution global land cover data set, has recently been issued for research on global change at a fine resolution. Given the accuracy of GlobeLand30 data may show s...
MODELING THE DISTRIBUTION OF AFRICAN SAVANNA ELEPHANTS IN KRUGER NATIONAL PARK:AN APPLICATION OF MULTI-SCALE GLOBELAND30 DATA
Globeland30 Globcover Species Distribution Model MaxEnt Elephants Classification
2016/12/1
The ability of remote sensing to represent ecologically relevant features at multiple spatial scales makes it a powerful tool for studying wildlife distributions. Species of varying sizes perceive and...
A KNOWLEDGE-BASED APPROACH ON GLOBELAND30 INCREMENTAL UPDATING:A CASE STUDY OF BUILT-UP AREA
Globeland30 incremental updating Built-up area Segmentation Domain knowledge
2016/12/1
Global land cover/land use product in multiple periods is pivotal to understand the complex drivers and mechanisms in global climate change, and to forecast future land use trends in sustainable devel...