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Suitability Analysis of Rice Cropping in Burkina Faso: Assessing the Gap between Current and Potential Rice Cropping Area

Meier, Jonas and Thonfeld, Frank and Akpoti, Komlavi and Hackman, Kwame and Gessner, Ursula (2023) Suitability Analysis of Rice Cropping in Burkina Faso: Assessing the Gap between Current and Potential Rice Cropping Area. International Symposium on Remote Sensing of Environment, 24.-28. Apr. 2023, Antalya, Turkey.

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Abstract

The challenges of climate change in West Africa are closely linked to food security in the region. Rising temperatures and increasingly variable rainfall threaten traditional rain-fed agriculture based on the rainy season. Climate change is affecting the rainy season in West Africa by shifting the onset, shortening the growing period and the rainy season are increasingly interrupted by dry spells. An increase of extreme weather events such as heavy precipitation or storms add another risk to agriculture. The risk of crop failures hits an already vulnerable food system since a large portion of food is imported what makes the West African countries vulnerable against external economic shocks. Furthermore, West Africa has one of the highest population growths and will be triple by 2050 to 1.5 billion people. For a sufficient food supply and to achieve the Sustainable Development Goals an intensification of the agricultural area is needed and adaption strategies against the negative effects of climate change are in demand. Especially in the growing cities in West Africa a change in dietary leads to a swift from traditional staples crops like yam or sorghum to e.g. rice. To decrease the dependency from rice imports West African countries are expanding the domestic production of rice. A West African geomorphological specificity allows rice cropping in inland valleys and flood plains, characterized by soils with a high water capacity, highly suitable for rice cropping. These inland valleys are partially used for agricultural practices but there is still an unexploited potential. To quantify the potentially suitable area in for rice cropping and to map the already used area for rice cropping Burkina Faso, this study is combining different dataset. On the one hand SRTM data are used to derive inland valleys and on the other hand Sentinel-1 and Sentinel-2 time series are used to map the already used area for rice cropping. Since agriculture practices always depend on climatic conditions ERA5 data are analyzed regarding the suitability for rice cropping in Burkina Faso depending on the need of rice in different growing stages. The combination of the rice mapping and the potential suitability for rice cropping can be used as decision support for local stakeholders to improve the planning of future expansion of rice area.

Item URL in elib:https://elib.dlr.de/194928/
Document Type:Conference or Workshop Item (Speech)
Title:Suitability Analysis of Rice Cropping in Burkina Faso: Assessing the Gap between Current and Potential Rice Cropping Area
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Meier, JonasUNSPECIFIEDhttps://orcid.org/0000-0002-0827-0406UNSPECIFIED
Thonfeld, FrankUNSPECIFIEDhttps://orcid.org/0000-0002-3371-7206137135566
Akpoti, KomlaviUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hackman, KwameUNSPECIFIEDhttps://orcid.org/0000-0002-2201-9314UNSPECIFIED
Gessner, UrsulaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:27 April 2023
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Agriculture, drought, climate change adaptation, rice, agricultural suitability, Sustainable Intensification
Event Title:International Symposium on Remote Sensing of Environment
Event Location:Antalya, Turkey
Event Type:international Conference
Event Dates:24.-28. Apr. 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: Meier, Jonas
Deposited On:19 Jun 2023 10:27
Last Modified:19 Jun 2023 10:27

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