bsytechs/CarbonMapper

# Proje CarbonMapper
## Project Purpose
<p>
Urban trees and green infrastructure systems, which serve as urban carbon sinks within the scope of combating global climate change, play an important role in carbon capture-storage and carbon pricing. In this case, the goal of increasing the number and surface of trees/forests, which is frequently emphasized in the new economic order of the green agreement and climate pact, is considered one of the most important strategic actions. With the protection projects to be managed in the system, accurate forest inventories (tree height, trunk diameter, species, etc.) will be created to estimate the amount of biomass and stored carbon, and accurate and cheap forest inventory analyses will be provided by processing the data based on Deep Learning. The project aims to manage urban/non-urban forest assets and carbon capture capacity on base maps; with satellite images, drone images and 3D point cloud data, and to monitor the meta equivalent of carbon capture and storage.
</p>

### Please contact for project details
> [e-mail]

### These people contributed to the labeling of the data:

>Rida Doğrul<br>
>Ece Karadaşlı<br>
>Gizem Sarıkaya<br>
>Çiğdem Tapkan<br>
>Ahmet Burak Albayrak<br>
>Ahmet Sarıdiken<br>
>Kerem Dal<br>
>Özge Altınok<br>
>İrem Su Gül<br>
>Yusuf Yıldız<br>

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license: apache-2.0
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# 碳绘项目（Proje CarbonMapper）
## 项目宗旨
<p>在应对全球气候变化的框架下，作为城市碳汇的城市树木与绿色基础设施系统，在碳捕获-封存（carbon capture-storage）与碳定价领域发挥着关键作用。在绿色协议与气候公约构建的新经济秩序中，反复强调的增加树木/森林数量与覆盖面积的目标，被视为最重要的战略举措之一。通过本系统管理的各类保护项目，我们将构建精准的森林清查数据（涵盖树高、胸径、树种等维度）以估算生物量与碳储量；同时依托深度学习（Deep Learning）技术处理相关数据，提供精准且低成本的森林清查分析服务。本项目旨在结合卫星影像、无人机影像与三维点云数据，基于底图对城市及非城市森林资产与碳捕获能力进行管理，并实现碳捕获与封存的元等效监测。</p>

### 项目详情咨询
> [e-mail]

### 参与本数据集标注的人员：

>Rida Doğrul<br>
Ece Karadaşlı<br>
Gizem Sarıkaya<br>
Çiğdem Tapkan<br>
Ahmet Burak Albayrak<br>
Ahmet Sarıdiken<br>
Kerem Dal<br>
Özge Altınok<br>
İrem Su Gül<br>
Yusuf Yıldız<br>

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许可证：Apache 2.0
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