As a newly emerging technology, deep learning (DL) is a very promising field in big data
applications. Remote sensing often involves huge data volumes obtained daily by numerous …

The need for networking in smart industries known as Industry 5.0 has grown critical, and it
is especially important for the security and privacy of the applications. To counter threats to …

Introduction Remote sensing using unmanned aerial systems (UAS) are prevalent for
phenomics and precision agricultural applications. The high-resolution data for these …

Given that forest stand density is an important parameter for studies of carbon, water, and
energy cycles and a core indicator for forest management, it requires accurate mapping to …

Scattered trees outside of dense, closed-canopy forests are very important for carbon
sequestration, supporting livelihoods, maintaining ecosystem integrity, and climate change …

With the population predicted to increase to over 9.6 billion by 2050, and food demand
anticipated to increase by between 60 and 100%, sustainable and resilient agricultural …

With the advent of very high-resolution (VHR) imaging satellites, it is possible to measure the
heights of forest stands or even individual trees more accurately. However, the accurate …

The Chaobai River (CBR) basin in northern China is experiencing an unprecedented
continuous inflow of external water via the South–North Water Diversion Project, which has …

The increasing availability of very-high resolution (VHR;< 2 m) imagery has the potential to
enable agricultural monitoring at increased resolution and cadence, particularly when used …

Forest monitoring is critical to the management and successful evaluation of ecological
restoration in mined areas. However, in the past, available monitoring has mainly focused …