Predicting Food Crises 2020, Dataset for reproducing working paper results

Afghanistan, Burkina Faso, Chad...and 18 more, 2007 - 2020

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Reference ID

WLD_2020_PFC_v01_M

Producer(s)

Bo Pieter Johannes Andree, Andres Chamorro, Aart Kraay, Phoebe Spencer, Dieter Wang

Metadata

DDI/XML JSON

Created on

Sep 16, 2021

Last modified

Sep 16, 2021

Page views

3591

Downloads

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NDVI anomalies (ndvi_anom)

Data file: predicting_food_crises_data

Overview

Valid: 183596

Invalid: 0

Minimum: -5496.615

Maximum: 3790.713

Type: Continuous

Decimal: 0

Width: 9

Range: -5496.615234375 - 3790.71337890625

Format: Numeric

Description

Definition

Anomalies are calculated by dividing the current monthly value by the long-term average for that month, multiplied by 100. Values below 100% represent vegetation cover deficits, above 100% vegetation cover above average. Broadly values between 90% and 110% are considered as being within the range of normal variability.

Source of information

MODIS (Terra 16-day 250m), processed in Google Earth Engine). Cropland mask (GFSAD), pasture mask (FAO - FGGD)

Others

Notes

Frequency: Raw images (16-day) are aggregated to the monthly level using the average, min and max pixel value. Monthly images are summarized to the district level using the average value.

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