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Global forest management data at a 100m resolution for the year 2015

Authors: Myroslava Lesiv; Dmitry Schepaschenko; Marcel Buchhorn; Linda See; Martina Dürauer; Ivelina Georgieva; Martin Jung; +59 Authors

Global forest management data at a 100m resolution for the year 2015

Abstract

We provide four data records: 1.The reference data set as a comma-separated file ("reference_data_set.csv") with the following attributes: ���ID��� is a unique location identifier ���Latitude, Longitude��� are centroid coordinates of a 100m x 100m pixel. ���Land_use_ID ���is a land use class: 11 - Naturally regenerating forest without any signs of human activities, e.g., primary forests. 20 - Naturally regenerating forest with signs of human activities, e.g., logging, clear cuts etc. 31 - Planted forest. 32 - Short rotation plantations for timber. 40 - Oil palm plantations. 53 - Agroforestry. ���Flag��� identifies a data origin: 1- the crowdsourced locations, 2- the control data set, 0 ��� the additional experts' classifications following the opportunistic approach. 2. The 100 m forest management map in a geoTiff format with the classes presented - "FML_v3.2.tif ". 3. The predicted class probability from the Random Forest classification in a geoTiff format - "ProbaV_LC100_epoch2015_global_v2.0.3_forest-management--layer-proba_EPSG-4326.tif" 4. Validation data set as a comma-separated file ("validation_data_set.csv) with the following attributes: ���ID��� is a unique location identifier ���pixel_center_x��� , ���pixel_center_y ��� are centroid coordinates of a 100m x 100m pixel in lat/lon projection ���first_landuse_class ���is a land use class, as in (1). ���second_landuse_class ���is a second possible land use class, as in (1), identified in case it was difficult to assign one class with high confidence. 5. Original crowdsourced data set as a .csv table. 6. Compiled FAO FRA forest statistics and mapped classes by countries into one table (.csv format).

NatureMap project (https://naturemap.earth/) Funder Norway's International Climate and Forest Initiative (NICFI): https://www.norad.no/en/front/thematic-areas/climate-change-and-environment/norways-international-climate-and-forest-initiative-nicfi/ This is a similar data set on zenodo (Lesiv, M. et al. Global planted trees extent 2015. Zenodo https://doi.org/10.5281/zenodo.3931930, 2020) This is the version that was used in one of the follow up studies, which was needed as a reference. Please ignore it and instead use this zenodo record.

Keywords

forest management, plantations, land use, map, remote sensing

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