GSTDTAP  > 气候变化
Mapping Together: A Guide to Monitoring Forest and Landscape Restoration Using Collect Earth Mapathons
Katie Reytar; Dow Martin; Florence Landsberg; Sabin Ray; Carolina Gallo Granizo; René Zamora Cristales; Marie Duraisami; Kanchana CB; Tesfay Woldemariam; Fred Stolle; Bernadette Arakwiye; AnneMaud Courtois; Rémi d’Annunzio; Yelena Finegold
2021-02
出版年2021
国家美国
领域气候变化 ; 资源环境
英文摘要

Mapping Together helps people use Collect Earth mapathons to monitor tree-based restoration. Collect Earth enables users to create precise data that can show where trees are growing outside the forest across farms, pasture, and urban areas and how the landscape has changed over time.

Building on WRI and FAO’s Road to Restoration, a guide that helps people make tough choices and set realistic goals for restoring landscapes, Mapping Together takes this process one step further. It helps them to track progress on their biophysical restoration goals using Collect Earth, an open-source data collection tool that pairs freely available, very high-resolution satellite imagery with local knowledge of the landscape.

Collect Earth mapathons can help stakeholders answer key monitoring questions by providing the framework for tracking changes in land use/land cover, tree cover and count, tree spatial pattern, and related indicators. Mapathons involve local stakeholders and people familiar with the landscape as data collectors and interpreters, increasing the data’s accuracy. The resulting data and products are then owned by local experts.

Four case studies – from El Salvador, Ethiopia, India, and Rwanda – presented in Mapping Together show how various stakeholders have used and adapted Collect Earth mapathons to answer their own questions about restoration progress.

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来源平台World Resources Institute
文献类型科技报告
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/314229
专题气候变化
资源环境科学
推荐引用方式
GB/T 7714
Katie Reytar,Dow Martin,Florence Landsberg,et al. Mapping Together: A Guide to Monitoring Forest and Landscape Restoration Using Collect Earth Mapathons,2021.
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