Fallow-land Algorithm based on Neighborhood and Temporal Anomalies (FANTA) to map planted versus fallowed croplands using MODIS data to assist in drought studies leading to water and food security assessments

Fallow-land Algorithm based on Neighborhood and Temporal Anomalies (FANTA) to map planted versus fallowed croplands using MODIS data to assist in drought studies leading to water and food security assessments

An important metric to monitor for optimizing water use in agricultural areas is the amount of cropland left fallowed, or unplanted. Fallowed croplands are difficult to model because they have many expressions; for example, they can be managed and remain free of vegetation or be abandoned and become...

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Bibliographic Details
Main Authors: Cynthia S.A. Wallace, Prasad Thenkabail, Jesus R. Rodriguez, Melinda K. Brown
Format: Article
Language:English
Published: Taylor & Francis Group 2017-03-01
Series:GIScience & Remote Sensing
Subjects:
modis-ndvi
fallowed croplands
fallow-land algorithm
water and food security
ndvi greenness anomalies
Online Access:http://dx.doi.org/10.1080/15481603.2017.1290913

Internet

http://dx.doi.org/10.1080/15481603.2017.1290913

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