Spatiotemporal data fusion is a cost-effective way to produce remote sensing images with
high spatial and temporal resolutions using multisource images. Using spectral unmixing …

Substantial studies have been conducted to simulate urban growth in the rapidly growing
regions for planning and management. However, the difficulty remains in the establishment …

Spatial neighboring analysis is an indispensable part of geo-raster spatial analysis. In the
big data era, high-resolution raster data offer us abundant and valuable information, and …

Brown Planthopper (BPH) is one of the most dangerous insects that cause damage to rice.
Aphids infected rice fields with low productivity can be lost even. Dealing with this situation …

Spiking neural networks (SNN) are among the most computationally intensive types of
simulation models, with node counts on the order of up to 1011. Currently, there is intensive …

Models developed by domain experts occasionally struggle to achieve a sufficient execution
speed. Improving performances requires expertise in parallel and distributed simulations …

Digital soil mapping (DSM) at high spatial resolutions over large areas often demands
considerable computing power. This study aims to harness the heterogeneous computing …