Recently, a strong international focus has been placed on invasive species and their
ecological, economic, and social impacts. Satellite remote sensing (SRS) for the detection of …

Forest biomass is essential for carbon budgeting, biodiversity health, and climate change
research. We developed a novel L-band fully polarimetric SAR method for estimating …

The polarimetric synthetic aperture radar (PolSAR) provides us with a two-by-two scattering
matrix data set. The ensemble averaged coherency matrix in an imaging window derived …

Deep learning is a powerful tool for automating the process of recognizing and classifying
objects in images. In this study, we used ML. NET, a popular open-source machine learning …

The assessment of environmental sustainability is of utmost importance for the forests and
plantations in Borneo, given the critical need for environmental protection through the …

This study aims to reveal the relationships between understory coverage (principally, weed
growth) beneath the canopies of Sumatran eucalyptus plantations and L-band backscatter …

Tree species are important factors affecting the carbon sequestration capacity of forests and
maintaining the stability of ecosystems, but trees are widely distributed spatially and located …

The increasing availability of dual-polarimetric synthetic aperture radar (PolSAR) data has
led to a significant rise in its applications over the past few decades. Model-based …

This paper investigates tree species classification using Sentinel-2 multispectral satellite
image time-series. Despite their critical importance for many applications, such maps are …

This chapter provides a summary of each of the 11 chapters in Volume IV of the six-volume
Remote Sensing Handbook. The topics covered include (Figure 12.0):(a) forests,(b) …