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International Journal of Digital Earth Vol.13 No.7-9 2020
1.Big Earth Data science: an information framework for a sustainable planet p 743-767
2.Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass p 768-784
3.Defining hydroclimatic regions using daily rainfall characteristics in the southern Appalachian Mountains p 785-802
4.Optimal orientations of discrete global grids and the Poles of Inaccessibility p 803-816
5.A prototype web-based analysis platform for drought monitoring and early warning p 817-831
6.Big Earth data: disruptive changes in Earth observation data management and analysis? p 832-850
7.FORSAT: a 3D forest monitoring system for cover mapping and volumetric 3D change detection p 854-885
8.Monitoring interannual dynamics of desertification in Min, qin County, China, using dense Landsat time series p 886-898
9.Downscaling Landsat-8 land surface temperature maps in diverse urban landscapes using multivariate adaptive regression splines and very high resolution auxiliary data p 899-914
10.Basin-wide hydrological system assessment under climate change scenarios through conceptual modelling p 815-938
11.A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades p 939-975
12.Towards knowledge-based geovisualisation using Semantic Web technologies: a knowledge representation approach coupling ontologies and rules p 976-997
13.A binocular parallel rendering method for VR globes p 998-1016
14.Identifying disaster related social media for rapid response: a visual-textual fused CNN architecture p 1017-1039
15.Identifying coastal towns and small cities in Denmark using global population data to support climate change adaptation p 1040-1054
16.An open-source web service for creating quadrilateral grids based on the rHEALPix Discrete Global Grid System p 1055-1071
17.Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data p 1072-1092
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