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  1. 23 Φεβ 2023 · Mapping coniferous forests using U 2-Net can achieve satisfactory results, with the F1 Score, OA, precision, recall and kappa as high as 95.4%, 94.2%, 96.6%, 95.5% and 94%, respectively. In addition, U 2-Net showed excellent temporal transferability in mapping coniferous forests from 1985 to 2020. In the past 35 years, the area of coniferous ...

  2. 2 Φεβ 2024 · Accurately identifying and mapping coniferous forests can expedite the achievement of Sustainable Development Goal (SDG) 15, aimed at managing forests sustainably, combating desertification, halting and reversing land degradation, and halting biodiversity loss.

  3. Coniferous forests consist mostly of conifers, which are trees that grow needles instead of leaves and cones instead of flowers. Conifers tend to be evergreen—they bear needles all year long. These adaptations help conifers survive in areas that are very cold or dry.

  4. 28 Απρ 2024 · The coniferous forest biome is widespread across the North at around 40-60 degrees latitude. Most notable it wraps through a large amount of Asia, Europe, and Canada. It is quite biodiverse and has many interesting adaptation that are largely caused by the harsh changes of seasons.

  5. REST API. Provides at pan-European level in the spatial resolution of 10 m and 100 m a forest classification for three thematic classes (all non-forest areas / broadleaved forest / coniferous forest) with the agricultural/urban trees removed for the 2018 reference year.

  6. 11 Νοε 2020 · A Support Vector Machine (SVM) classifier has been used for discriminating forest cover groups, namely, broadleaved and coniferous forests. According to the results, more than 90% of the canopy in North Macedonia is broad-leaved, while less than 10% is conifers.

  7. Explore the state of forests worldwide by analyzing tree cover change on GFW’s interactive global forest map using satellite data. Learn about deforestation rates and other land use practices, forest fires, forest communities, biodiversity and much more.

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