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

Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Buchhorn, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Dürauer, M., Georgieva, I. ORCID: https://orcid.org/0000-0002-5556-794X, Jung, M., Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Schulze, K., Bilous, A., Blyshchyk, V., Mukhortova, L., Brenes, C., Krivobokov, L., Ntie, S., Tsogt, K., Pietsch, S., Tikhonova, E., Kim, M., Di Fulvio, F. ORCID: https://orcid.org/0000-0002-7317-6360, et al. (2021). Global forest management data at a 100m resolution for the year 2015. 10.5281/zenodo.4541512.

Full text not available from this repository.

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.

Item Type:	Data
Uncontrolled Keywords:	Geo-Wiki
Research Programs:	Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Exploratory Modeling of Human-natural Systems (EM) Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES) Biodiversity and Natural Resources (BNR) Biodiversity and Natural Resources (BNR) > Agriculture, Forestry, and Ecosystem Services (AFE) Biodiversity and Natural Resources (BNR) > Biodiversity, Ecology, and Conservation (BEC) Biodiversity and Natural Resources (BNR) > Integrated Biosphere Futures (IBF) Strategic Initiatives (SI)
Depositing User:	Luke Kirwan
Date Deposited:	11 Mar 2022 07:02
Last Modified:	27 Mar 2024 05:00
URI:	https://pure.iiasa.ac.at/17846

Actions (login required)

View Item