Use of MODIS EVI to map crop phenology, identify cropping systems, detect land use change and drought risk in Ethiopia – an application of Google Earth Engine

Use of MODIS EVI to map crop phenology, identify cropping systems, detect land use change and drought risk in Ethiopia – an application of Google Earth Engine

Effective agricultural planning requires up-to-date and spatial crop phenology and land use (LU) data for time-critical and location-specific extension, inputs or emergency aid. Usually, this information is most sparse where most needed, (sub)tropical smallholder-dominated landscapes. Our study enha...

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Bibliographic Details
Main Authors: Kefyalew Sahle Kibret, Carsten Marohn, Georg Cadisch
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:European Journal of Remote Sensing
Subjects:
modis terra/aqua evi
agricultural land use classification
ethiopia
emergency support
food security
crop phenology
land use change
time-series remote sensing data
google earth engine
Online Access:http://dx.doi.org/10.1080/22797254.2020.1786466

Internet

http://dx.doi.org/10.1080/22797254.2020.1786466

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