DeepForest AI unlocks hidden forest layers

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

Drones with standard cameras reveal hidden forest layers using AI technology

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and multispectral photography. While radar and LiDAR penetrate canopies to reveal ...
iaea.org

Now Available: Guidelines on Soil and Vegetation Sampling for Radiological Monitoring

Soil, vegetation and water can be contaminated with natural and artificial radionuclides, including in agricultural, forest and urban environments. How to check and measure such contamination in soil ...
JSTOR Daily

Application of fractal geometry in determining optimal quadrat size for vegetation sampling

Geometry in ecological patterns of landscape and vegetation is not truly fractal, and varies across a range of scales, whereas fractal geometry provides tools for predicting and describing ecological ...
Mongabay

Suite of free, open-source tools to help even non-experts monitor large-scale land use change

Collect Earth is a free, open-source tool built on Google Earth that enables non-experts to assess deforestation and other land cover change through point sampling. The program combines spatial data ...
JSTOR Daily

Spatial and Temporal Variation in the Response of Understory Vegetation to Disturbance in a Central Appalachian Oak Forest

The Journal of the Torrey Botanical Society, Vol. 129, No. 2 (Apr. - Jun., 2002), pp. 136-153 (18 pages) Understory vegetation in stand-initiating (∼ 7 year clearcuts) and understory-reinitiating (> ...