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Remote Sensing for large-scale agricultural investment areas in Ethiopia – agricultural monitoring based on Earth observation time-series

Eisfelder, Christina and Sogno, Patrick and Alemu, Genanaw and Hailu, Rahel and Mesmer, Christian and Huth, Juliane (2023) Remote Sensing for large-scale agricultural investment areas in Ethiopia – agricultural monitoring based on Earth observation time-series. EGU General Assembly 2023, 23.-28. April 2023, Vienna, Austria & Online.

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Abstract

Ethiopia is known to be currently food insecure and suffering from considerable food deficits. The Government of Ethiopia strives to increase the agricultural production and its efficiency. Therefore, Ethiopia has been promoting large-scale agricultural investment (LSAI) to transform the agricultural sector. However, the progress by agricultural development has been limited. Investors only developed a small fraction of the transferred land. Therefore, there is a great need for monitoring of the implementation and actual state of land use of every LSAI project. The use of remote sensing can substantially support agricultural monitoring. In this study, Earth observation time series are analyzed to examine the land used for agricultural production and to differentiate crop types grown within the three study areas. Current land use/land cover (LULC) is analyzed using Sentinel-2 time series to identify cropland areas. In a second step, remote-sensing time-series of Sentinel-1 and Sentinel-2 are used to differentiate among 20 different crop types grown in the region. The developed classification methods have been applied to derive information products for three study regions in Ethiopia including the LSAI areas within the provinces of Amhara, Benishangul, and Gambella. The methods and derived information products on LULC and crop types will be made available to GIZ and regional experts to support agricultural monitoring of developed land in Ethiopia.

Item URL in elib:https://elib.dlr.de/194861/
Document Type:Conference or Workshop Item (Poster)
Title:Remote Sensing for large-scale agricultural investment areas in Ethiopia – agricultural monitoring based on Earth observation time-series
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Eisfelder, ChristinaUNSPECIFIEDhttps://orcid.org/0000-0002-6790-6953UNSPECIFIED
Sogno, PatrickUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Alemu, GenanawGIZUNSPECIFIEDUNSPECIFIED
Hailu, RahelGIZUNSPECIFIEDUNSPECIFIED
Mesmer, ChristianGIZUNSPECIFIEDUNSPECIFIED
Huth, JulianeUNSPECIFIEDhttps://orcid.org/0000-0002-1453-6629UNSPECIFIED
Date:26 April 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:agricultural monitoring, LULC, cropland, crop types, Sentinel-1, Sentinel-2, time-series, random forest, GEE, remote sensing, Ethiopia
Event Title:EGU General Assembly 2023
Event Location:Vienna, Austria & Online
Event Type:international Conference
Event Dates:23.-28. April 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Eisfelder, Christina
Deposited On:19 Jun 2023 10:24
Last Modified:19 Jun 2023 10:24

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