Aim We aim to report what hyperspectral remote sensing can offer for invasion ecologists
and review recent progress made in plant invasion research using hyperspectral remote …

Timely and accurate information on tree species (TS) is crucial for developing strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Hyperspectral change detection (CD) can be effectively performed using deep-learning
networks. Although these approaches require qualified training samples, it is difficult to …

We identify canopy species in a Hawaiian tropical forest using supervised classification
applied to airborne hyperspectral imagery acquired with the Carnegie Airborne Observatory …

Invasive alien plants (IAPs) substantially affect the native biodiversity, agriculture, industry,
and human health worldwide. Ambrosia (ragweed) species, which are major IAPs globally …

Given two remote sensing images, the goal of visual change detection task is to detect
significantly changed areas between them. Existing visual change detectors usually adopt …

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …

Mapping forest species is highly relevant for many ecological and forestry applications. In
Australia, the classification of native forest species using remote sensing data remains a …

Satellite images provide an accurate, continuous, and synoptic view of seamless global
extent. Within the fields of remote sensing and image processing, land surface change …