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gaelso/Gambia-NFI-2025

Domaine:

geospatialenvironment and energy

Type de record:

dataset
Créateur:
gae
Hôte:
Analysis of historical NFMA inventory and CEO survey to prepare a re-measurement campaign of forest field plots # Gambia-NFI-2025 Analysis of historical NFMA inventory and CEO survey to prepare a re-measurement campaign of forest field plots ## NFMA data The following tables are prepared from the 'NFI-modules-2021-data' R project: - GMB-tract.csv - GMB-tract_raw.csv - GMB-plot.csv - GMB-plot_gps.csv - GMB-lus.csv - GMB-tree.csv These tables regroup the main information of tract, plot, land use sections and tree collected during the NFMA campaign in the Gambia The 'NFI-modules-2021-data' R project makes a grouped analysis of the main NFAM surveys across three continents. In the original NFMA grid, the tract center point positions are shifted from a 5 arcminutes grid. These coordinates are in tract_raw table or in the tract_5x5_true_utm shapefile. !!! Important: the intensified grid at 2.5 arcminutes grid distance is not shifted and aligned to the southwestern most point, i.e. tract 152. ## CEO survey The CEO survey was collect in May 2025 over a 5 arc min grid overlapping NFMA plot 1 of NFMA tracts and an intensification grid at 2.5 arc min. Survey link on Collect Earth Online: app.collect.earth The collected data went through a first round of correction to make the csv files used in R (see 'data-core/CEO_corr'). ## ROOTS map The ROOTS map was initially downloaded directly from the Google Earth Engine recipe. See the info note: drive.google.com And the GEE recipe: code.earthengine.google.com To download the raster data, go to the GEE right panel > unsubmitted tasks > Run lc_gambia_2023_10m ## Administrative boundaries and Land use land cover 2023 These two spatial data were provided by the forest administration as shapefile. ## Ancillary data The carbon stock was calculated with Chave et al., 2014 pan-tropical model: onlinelibrary.wiley.com The environmental factor based tree height mo …

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