Results 101 to 110 of about 3,103,775 (206)
Vegetation diversity of Pinus pinaster forests in the Italian Peninsula [PDF]
Aim: To revise Pinus pinaster-dominated communities of the Italian peninsula with special regard to central-southern Tuscany, and assess their floristic and ecological differences. Study area: Tuscany and Liguria regions, Italy.
Dario Ciaramella +5 more
doaj +3 more sources
Global overview of plot-based vegetation classification approaches
The xy approach Purpose, scope and history of the classification approach • What are the expected uses of the classification approach (e.g. vegetation mapping, habitat conservation, biodiversity monitoring)?
M. Cáceres +5 more
semanticscholar +1 more source
Spatial contextual superpixel model for natural roadside vegetation classification
In this paper, we present a novel Spatial Contextual Superpixel Model (SCSM) for vegetation classification in natural roadside images. The SCSM accomplishes the goal by transforming the classification task from a pixel into a superpixel domain for more ...
Ligang Zhang +2 more
semanticscholar +1 more source
The characterization of vegetation is a very important ecological task, especially in sensitive mountain areas, as alpine regions often respond to small short-term variations of abiotic and biotic components as well as long-term global changes.
Adriana Marcinkowska-Ochtyra +7 more
semanticscholar +1 more source
Vegetation classification: a task of our time
Jansen, Florian +5 more
openaire +2 more sources
Plant stress early detection through a low-cost multispectral device: Toward safer and more sustainable agricultural practices. [PDF]
Lauretti C +9 more
europepmc +1 more source
Automated classification of natural habitats using ground-level imagery. [PDF]
Tourian M +9 more
europepmc +1 more source
SVH-BD: Synthetic vegetation hyperspectral benchmark dataset derived from sentinel-2 tiles over France, Spain, Tanzania, and India during 1-6 May 2023. [PDF]
Ben Azizi C +3 more
europepmc +1 more source
Tea tree recognition based on multi-source satellite data across Southeast China. [PDF]
Cong N, Zhao R, Qiu Y, Zhao C.
europepmc +1 more source

