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Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma and Xiaoxiang Zhang
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches fo...
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Somtochukwu Godfrey Nnabuife, Caleb Kwasi Darko, Precious Chineze Obiako, Boyu Kuang, Xiaoxiao Sun and Karl Jenkins
This study emphasises the growing relevance of hydrogen as a green energy source in meeting the growing need for sustainable energy solutions. It foregrounds the importance of assessing the environmental consequences of hydrogen-generating processes for ...
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Mirjana Radulovic, Sanja Brdar, Minucer Mesaro?, Tin Lukic, Stevan Savic, Biljana Basarin, Vladimir Crnojevic and Dragoslav Pavic
Groundwater is one of the most important natural resources for reliable and sustainable water supplies in the world. To understand the use of water resources, the fundamental characteristics of groundwater need to be analyzed, but in many cases, in situ ...
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Huaqiao Xing, Chang Liu, Rui Li, Haihang Wang, Jinhua Zhang and Huayi Wu
With the rapid development of web service technology, automatic land cover web service composition has become one of the key challenges in solving complex geoprocessing tasks of land cover. Service composition requires the creation of service chains base...
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Usman Ali, Travis J. Esau, Aitazaz A. Farooque, Qamar U. Zaman, Farhat Abbas and Mathieu F. Bilodeau
Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linked to...
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