Record Details

MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory
 
Identifier https://doi.org/10.7910/DVN/M4ZGXP
 
Creator Peter, Brad
Messina, Joseph
Raney, Austin
Principe, Rodrigo
Fan, Peilei
 
Publisher Harvard Dataverse
 
Description MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory



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MSZSI is a data extraction tool for Google Earth Engine that aggregates time-series remote sensing information to multiple administrative levels using the FAO GAUL data layers. The code at the bottom of this page (metadata) can be pasted into the Google Earth Engine JavaScript code editor and ran at https://code.earthengine.google.com/.



Input options:


[1] Country of interest


[2] Start and end year


[3] Start and end month


[4] Option to mask data to a specific land-use/land-cover type


[5] Land-use/land-cover type code from CGLS LULC


[6] Image collection for data aggregation


[7] Desired band from the image collection


[8] Statistics type for the zonal aggregations


[9] Statistic to use for annual aggregation


[10] Scaling options


[11] Export folder and label suffix



Output: Two CSVs containing zonal statistics for each of the FAO GAUL administrative level boundaries


Output fields: system:index, 0-ADM0_CODE, 0-ADM0_NAME, 0-ADM1_CODE, 0-ADM1_NAME, 0-ADMN_CODE, 0-ADMN_NAME, 1-AREA_PERCENT_LULC, 1-AREA_SQM_LULC, 1-AREA_SQM_ZONE, 2-X_2001, 2-X_2002, 2-X_2003, ..., 2-X_2020, .geo
 
Subject Agricultural Sciences
Computer and Information Science
Earth and Environmental Sciences
Social Sciences
 
Contributor Peter, Brad