GregCocks, to worldwithoutus
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GregCocks, to RadioControl
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The Case For Remote Sensing Of Individual Plants

https://doi.org/10.1002/ajb2.1347 <-- shared short article

# interpretation

aerial images - High-resolution images from the Planet Labs constellation of cube-sats detect flowering individual trees in the Peruvian Amazon (yellow objects in panel A) and Colombian Amazon (pink objects in panel B). Many thousands of flowering individuals are apparent across hundreds of kilometers of Amazonian forest in these flowering events. Scale bar = 500 m.
aerial and oblique remotesensing-created images - Drone remote sensing of individual trees. (A) Ultra-high-density drone lidar resolves individual tree structure in a temperate beech forest in the southern Czech Republic. Colors indicate elevation, and the tallest trees are about 40 m aboveground. Measurement density here is 4323 points per square meter. (B) High-spatial resolution optical remote sensing from a low-altitude drone in the Atlantic lowlands of Costa Rica. We used methods from computer vision to construct three-dimensional scene geometry from two-dimensional images. The image is a natural color composite. (C) Same area as B, but colored by surface elevation, where warmer colors indicate taller objects. A single Goethalsia meiantha crown is outlined in white. The area of this crown is 157.3 m2. At a pixel size of 1 cm, this crown contains 1.573 × 106 pixels, demonstrating the tremendous increase in measurement density at high-spatial resolution. Scale bar in B and C = 30 m.
graphic / schematic - drone performing remote sensing on a tree

GregCocks, to environment
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GregCocks, to geopolitics
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badwolf42, to France French

Hello Fosstodon,

Greetings from , .

I'm a working on and at the regional . I try to contribute as many as possible to opensource GIS ecosystem (by funding, opening issues, improve documentation, share tricks and tips) on my daily tools

GregCocks, to geopolitics
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Nonog, to Europe

Did the Bronze Age deforestation of Europe affect its climate? A regional climate model study using pollen-based land cover reconstructions
https://cp.copernicus.org/articles/19/1507/2023/ #climate

bnhrdotxyz, to random

LOOKING FOR UPDATED LAND COVER MAPS?

Esri, in partnership with the Impact Observatory, released their latest Map with improved AI modeling.

IMPORTANT: The quality and fit for purpose to local applications of remotely sensed, global scale, AI products will vary. Do not accept the results/outputs blindly and always try to verify/validate to determine the accuracy/usefulness of the data for your application.

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