High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …

How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …

Automatic remote sensing tools can help inform many large-scale challenges such as
disaster management, climate change, etc. While a vast amount of spatio-temporal satellite …

Automatic identification and map** of tree species is an essential task in forestry and
conservation. However, applications that can geolocate individual trees and identify their …

Biodiversity is declining at an unprecedented rate, impacting ecosystem services necessary
to ensure food, water, and human health and well-being. Understanding the distribution of …

Tropical forests are a major component of the global carbon cycle and home to two‐thirds of
terrestrial species. Upper‐canopy trees store the majority of forest carbon and can be …

Generalization to novel domains is a fundamental challenge for computer vision. Near-
perfect accuracy on benchmarks is common, but these models do not work as expected …

Advances in remote sensing imagery and machine learning applications unlock the
potential for develo** algorithms for species classification at the level of individual tree …

Abstract We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for
detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich …

Accurate and efficient orchard tree inventories are essential for acquiring up-to-date
information, which is necessary for effective treatments and crop insurance purposes …