
Caroline Mallmann- Federal University of Santa Maria
Caroline Mallmann
- Federal University of Santa Maria
About
15
Publications
1,497
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
167
Citations
Current institution
Publications
Publications (15)
Background
Volatile isoprenoids (VIs), such as isoprene, monoterpenes, and sesquiterpenes, participate in various forest-atmosphere processes ranging from plant cell regulation to atmospheric particle formation. The Amazon Forest is the greatest and most diverse source of VI emissions, but the lack of leaf-level studies and the logistical challenge...
We aimed to combine the use of images obtained from remotely piloted aircraft systems (RPAS) and machine learning (ML) to identify the invasive alien species Psidium guajava in a protected area in southern Brazil. Field data were obtained in a sampling area, where the species’ geographic coordinates were collected
with a global positioning system d...
Invasive species are known to have potential advantages over the native community and can be expressed in their leaf functional traits. Thus, leaf-level traits with spectral reflectance can provide valuable insights for distinguishing invasive trees from native trees in complex forest environments. We conducted field spectroscopy measurements in a...
Hesperozygis ringens is a species that stands out for the production of essential oil. No reports on the leaf spectral characterization of the species have been found. This study aimed to determine the reflectance pattern of Hesperozygis ringens leaves with the aid of Remote Sensing. Therefore, a spectroradiometer that operates in the continuous sp...
The research aimed to evaluate the spectral behavior of remotely piloted aircraft system (RPAS) images taken of agricultural crops during the day to answer the following hypotheses: (1) there are no significant differences between spectral reflectance information obtained through RPAS images and data from spectroradiometry; (2) the survey time can...
The combination of machine learning and products obtained by Remote Piloted Aircraft Systems (RPAS) has stood out in the forest sector in the last decade due to the wide range of applications and contributions to the classification and modelling of spatial attributes. The literature presents an overview of these applications, their limitations, and...
The biological invasion is considered the second largest global threat to the maintenance and conservation of natural ecosystems biodiversity. Strategies and actions that guide the control and monitoring of invasive species in protected areas are still a challenge on the management of these areas. Remote sensing is potential tool to detect and moni...
Throughout the plant development, the physiological processes of growth, as well as the handling of water and fertilizers represent sources of variation in the spectral response of the crops. Thus, in the context of precision agriculture, information on the phenological stage of cultivation can be decisive in accurately estimating agronomic variabl...
Remotely piloted aircraft system (RPAS) platforms are able to optimize the process of acquiring aerial images and improve the quality of the products generated in terms of spatial and temporal resolution. The exponential advance of the use of RPAS platforms in forestry, especially from the year 2010, is noteworthy. In this review, we present the gl...
Este artigo visa apresentar, caracterizar e analisar o sistema de espaços livres da cidade de Santa Maria-RS, de maneira contextual às investigações organizadas pelo grupo QUAPÁ-SEL do Laboratório da Paisagem da Faculdade de Arquitetura e Urbanismo da Universidade de São Paulo. O conteúdo está ordenado nas seguintes etapas: introdução ao núcleo de...