Affiliation:
1. Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia Universidade Federal do Rio Grande do Sul (UFRGS) Porto Alegre Brazil
2. Laboratory of Ecology and Environmental Management, Science and Technology Advanced Institute Van Lang University Ho Chi Minh City Vietnam
3. Faculty of Applied Technology, School of Technology Van Lang University Ho Chi Minh City Vietnam
4. Centre for Aquatic Environments University of Brighton Brighton United Kingdom
5. Institute of Agriculture and Environmental Sciences Estonian University of Life Sciences Tartu Estonia
6. Colégio de Estudos Avançados Federal University of Ceará Fortaleza Brazil
7. Laboratoire Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC)—UMR CNRS 5805 Université de Bordeaux Pessac France
Abstract
AbstractRemotely sensed data contains a range of information (spectral, spatial, radiometric, and temporal) useful in mapping and monitoring grassland extent, minimizing the cost of field data collection and laboratory analysis, thereby improving management and conservation of these ecosystems. The South American pampa biome is one of the most productive ecosystems in the world consisting of an evergreen grassland environment in the southern areas of the continent (Brazil, Uruguay, and Argentina). In this review paper, a scientometrics analysis of the applications of grassland remote sensing in the South American pampa biome was performed with Web of Science Collection data using the relationship between authors/co‐authors, institutions, countries, and keywords. Despite a large number of published works on the application of remote sensing in grassland ecosystems, comparatively, few have been conducted in the South American pampa biome. Of 166 published articles on remote sensing of grassland systems, the first one published on the pampas was in 1995, while research on this topic has been going on since 1985 in the rest of the world. Recently, some Journals have demonstrated interest in remote sensing of the pampa region: (a)IEEE Journal of Selected Topics in Applied Earth, (b) ISPRS Journal of Photogrammetry and Remote Sensing, and (c) Science of The Total Environment. A number of remote sensing methods applied elsewhere have yet to be applied in the South American Pampas, including LiDAR applications. A wide range of grassland parameters that can be estimated using remote sensing includes ecosystem health, alien species invasion, and biomass.
Subject
Soil Science,General Environmental Science,Development,Environmental Chemistry