Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Millet yield estimates in the Sahel using satellite derived soil moisture time series

Domain:

agricultureclimate

Record type:

paper
Creator:
GibPellarin ThierryRomán-Cascón CarlosAlh
Editor:
InsCenUniCen
Publisher:
CCSDEls
Host:avatar
International audience In the Sahel, crop growth and yield are strongly linked to climate fluctuations. The low and erratic rainfall the Sahel region has experienced for several years led to poor harvests, associated with dramatic food crises and famines. Consequently, numerous studies were conducted to develop innovative techniques to estimate crop yield based on satellite measurements. Unlike most approaches which use rainfall, temperature or vegetation indices to derive crop yield estimates, the present study investigates the potential of satellite-derived soil moisture products. This study focuses on millet, a major food crop in Africa. A first step was devoted to analyzing the relation between soil moisture and millet yield at the local scale using ground-based soil moisture and millet yield measurements obtained at ten site locations in Niger. Then, the statistical relationship obtained at the local scale was assessed at the regional scale (Niger, Mali, Senegal and Burkina Faso) using satellite-based soil moisture mapping (based on a simple land-surface model and a satellite precipitation product) and compared to millet yield estimates from the Food and Agriculture Organization (FAO) database. It was shown that millet yield variations are closely linked to soil moisture variations during two key periods of the plant growth: the "grain filling" and the "reproductive" periods. Soil moisture variations during these two periods led to explain 81% (R-2 = 0.81) of the FAO millet yield variations from 1998 to 2014 in the Sahel.

Visit

hal.science

Tags

Crop yieldData assimilationFAOSahelSoil moistureSMOSNiger[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment

Similar

Using spaceborne surface soil moisture to constrain satellite precipitation estimates over West AfricaSoil moisture estimates from satellite imagery to improve desert locust forecastHydrological real-time modelling in the Zambezi river basin using satellite-based soil moisture and rainfall dataSatellite soil moisture for yield prediction in water limited regions Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain 29 years of local vegetation trends in the Sahel of Senegal using long time series FAPAR satellite products and field data.

Using spaceborne surface soil moisture to constrain satellite precipitation estimates over West Africa

International audience This paper describes a methodology to use the passive microwav

Soil moisture estimates from satellite imagery to improve desert locust forecast

International audience Desert locust is still a major threat to agriculture in an ext

Hydrological real-time modelling in the Zambezi river basin using satellite-based soil moisture and rainfall data

Abstract. Reliable real-time forecasts of the discharge can provide valuable information for the man

Satellite soil moisture for yield prediction in water limited regions 

<div> <p>Accurate and reliable&#160;early warning systems can&am

Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain

International audience Soil moisture estimation is a key component in hydrological pr

29 years of local vegetation trends in the Sahel of Senegal using long time series FAPAR satellite products and field data.

International audience