the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

Surplus of entanglement is shown to hinder the successful training quantum machine learning algorithms.

The upper Yellow River basin over the Tibetan Plateau (TP) is an important ecological barrier in northwestern China. Effective LULC products that enable monitoring of changes regional ecosystem types are great importance for their environmental protection and macro-control. Here, we combined 18-class classification scheme based on with Sentinel-2 imagery, Google Earth Engine (GEE) platform, ran...

The Mongolian Plateau (MP) is in the interior of Northeast Asia, far from sea, and extremely vulnerable to climate change deleterious effects human activity. United Nations Sustainable Development Goals (SDGs) explicitly set land degradation neutrality (LDN) as one sub-goals seventeen main tasks. However, achieving this goal Mongolia, a country with fragile sensitive ecological environment lack...

Abstract This study explored the combined impacts of climate and land-use change on mini-hydropower generation in Kyambura watershed. The soil water assessment tool (SWAT) was used as a hydrological model whereas statistical downscaling (SDSM) to downscale meteorological data for watershed year 2050. results show that there will be an increase urban land by 11.89%, barren 25.78%, 0.49% reductio...

Jeneberang watershed is one of the watersheds in MAMMINASATA area (Maros, Makassar, Sungguminasa and Takalar). The watershed, upstream, now a critical condition. This study aims to identify map land use patterns, carbon stock emissions, both present condition after rehabilitation data information used this research are Landsat 7 ETM+ 2006 2010, boundary map, forest rainfall data, population cap...

Hybrid quantum-classical variational algorithms are one of the most propitious implementations quantum computing on near-term devices, offering classical machine-learning support to scale solution spaces. However, numerous studies have demonstrated that rate at which this space grows in qubit number could preclude learning deep circuits, a phenomenon known as barren plateaus. In work, we implic...