The background in image of remote sensing is often complicated and changeable, and the
edge of cloud and its shadow is irregular. In the traditional method, the bright part of the …

Predictive modelling of mineral prospectivity, a critical, but challenging procedure for
delineation of undiscovered prospective targets in mineral exploration, has been spurred by …

Climate change has been a common interest and the forefront of crucial political discussion
and decision-making for many years. Shallow/Low-altitude clouds play a significant role in …

Overshooting tops (OTs) play a crucial role in carrying tropospheric water vapor to the lower
stratosphere. They are closely related to climate change as well as local severe weather …

Accurate and timely information about rice planting areas is essential for crop yield
estimation, global climate change and agricultural resource management. In this study, we …

We investigate techniques for using deep neural networks to produce surrogate models for
short-term climate forecasts. A convolutional neural network is trained on 97 years of …

Rice is one of the world's three major food crops, second only to sugarcane and corn in
output. Timely and accurate rice extraction plays a vital role in ensuring food security. In this …

The basic application of remote sensing is classifying surface objects in images. Traditional
pixel-based or object-based classification methods are poorly suited to very high-resolution …

One of the most widely accepted field methods used by geological engineers to measure
rock surface strengths is by striking a rock with a geological hammer and using the emitted …

Abstract Ionospheric Alfvén Resonances (IARs) are weak discrete non-stationary Alfvén
waves along magnetic field lines, at periods of∼ 0.5–20 Hz, that occur during local night …