ACQUAL

Unmanned Aerial Vehicles (UAVs) are powerful flexible monitoring devices, and their data is increasingly used to train deep

Unmanned Aerial Vehicles (UAVs) are increasingly used within an Internet of Things (IoT) network where the UAV can communica

While Graph-SLAM techniques have significantly contributed to mobile mapping advancements in indoor and urban environments, there remains a need to improve the quality of data gen

Simultaneous Localization and Mapping (SLAM) techniques are critical for mobile mapping in indoor and urban environments.

Simultaneous Localization and Mapping (SLAM) techniques, especially graph-SLAM techniques, can be used for mobile mapping.

Brazil is the biggest coffee productors in the world, with millions of hectares of plantations.

Mapping and monitoring slums is essential to ensure the sustainable development of the cities to ensure a quality of life for people.

Clouds usually represent a big problem for optical remote sensing. A wide range of works have been developed in producing efficient cloud detection algorithms.

Understanding the types of vegetation that composes the land cover on non-anthropic areas and the land use for anthropic areas is essential to understand ecosystems dynamic

Estimating aboveground biomass is essential for generating vegetation inventories and understanding carbon cycles.