Deep Learning

A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network

Forests provide essential biodiversity, ecosystem and economic services. Information on individual trees is important for understanding the state of forest ecosystems but obtaining individual-level data at broad scales is challenging due to the costs …

Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches

A core goal of the National Ecological Observatory Network (NEON) is to measure changes in biodiversity across the 30‐yr horizon of the network. In contrast to NEON’s extensive use of automated instruments to collect environmental data, NEON’s …

A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network

Forests provide biodiversity, ecosystem, and economic services. Information on individual trees is important for understanding forest ecosystems but obtaining individual-level data at broad scales is challenging due to the costs and logistics of data …

DeepForest

tree crown detection using RGB

Derived inventory of tree crowns

Over 100 million tree crowns estimated from DeepForest

IDTreeS

Cross-scale effects of ecological processes on ecological patterns

Individual tree crowns leaf traits from integrating NEON and FIA

An inventory of 60 million trees across US

Individual tree crowns leaf traits from remote sensing

Functional ecology has increasingly focused on describing ecological communities based on their traits (measurable features affecting individuals fitness and performance). Analyzing trait distributions within and among forests could significantly improve understanding of community composition and ecosystem function.

D3-ForScale

Data driven discovery of forest functions across scales.

DeepForest: A Python package for RGB deep learning tree crown delineation

Remote sensing of forested landscapes can transform the speed, scale and cost of forest research. The delineation of individual trees in remote sensing images is an essential task in forest analysis. Here we introduce a new Python package, DeepForest …