This paper presents and explores the different Earth Observation approaches and their
contribution to the achievement of United Nations Sustainable Development Goals. A review …

The problem of weeds in crops is a natural problem for farmers. Machine Learning (ML),
Deep Learning (DL), and Unmanned Aerial Vehicles (UAV) are among the advanced …

Land use maps describe the spatial distribution of natural resources, cultural landscapes,
and human settlements, serving as an important planning tool for decision makers. In the …

Coastal environments are highly threatened by invasive alien plants (IAP), and Remote
Sensing (RS) may offer a sound support for IAP detection and mapping. There is still a need …

Urban land use/land cover (LULC) classification has long been a hotspot for remote sensing
applications. With high spatio-temporal resolution and multispectral, the recently launched …

Remote sensing analyses frequently use feature selection methods to remove non-
beneficial feature variables from the input data, which often improve classification accuracy …

Parthenium weed (Parthenium hysterophorus L.(Asteraceae)), native to the Americas, is in
the top 100 most invasive plant species in the world. In Australia, it is an annual weed …

The use of hyperspectral (HS) and LiDAR acquisitions has a great potential to enhance
mapping and monitoring practices of endangered grasslands habitats, beyond conventional …

Precision agriculture (PA) research aims to design decision systems based on agricultural
site control and management. These systems consist of observing fields and measuring …

Globally, biotic factors like insect pests and diseases as well as abiotic factors like fire,
windstorms, and droughts influence the global forest ecosystem. Wood-boring pests (WBPs) …