Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of Relationship Between Grain Yield and NDVI From MODIS in the Fez-Meknes Region, Morocco

Belmahi Mohamed
ORCID logo ,
Hanchane Mohamed
ORCID logo ,
Nir Y. Krakauer
* ,
Kessabi Ridouane
ORCID logo ,
Bouayad Hind
,
Mahjoub Aziz
,
Zouhri Driss
Version 1 : Received: 18 April 2023 / Approved: 18 April 2023 / Online: 18 April 2023 (04:13:17 CEST)

A peer-reviewed article of this Preprint also exists.

Belmahi, M.; Hanchane, M.; Krakauer, N.Y.; Kessabi, R.; Bouayad, H.; Mahjoub, A.; Zouhri, D. Analysis of Relationship between Grain Yield and NDVI from MODIS in the Fez-Meknes Region, Morocco. Remote Sens. 2023, 15, 2707. Belmahi, M.; Hanchane, M.; Krakauer, N.Y.; Kessabi, R.; Bouayad, H.; Mahjoub, A.; Zouhri, D. Analysis of Relationship between Grain Yield and NDVI from MODIS in the Fez-Meknes Region, Morocco. Remote Sens. 2023, 15, 2707.

Abstract

Exploring the relationship between cereal yield and remotely sensed normalized difference vegetation index (NDVI) is of great importance to decision-makers and agricultural stakeholders. In this study, an approach based on the Pearson correlation coefficient and linear regression method is carried out to reveal the relationship between cereal yield and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI data in the Fez-Meknes region of Morocco. The results obtained show strong correlations reaching 0.70 to 0.89 between NDVI and grain yield. The linear regression model explains 58 to 79% of the variability in yield in regional provinces marked by the importance of cereal cultivation, and 51 to 53% in the mountainous provinces with less agricultural land devoted to major cereals. The regression slopes indicate that a 0.1 increase in NDVI results in an expected increase in grain yield of 4.9 to 8.7 quintals (q) per ha, with an average of 6.8 q/ha throughout the Fez-Meknes region. RMSE ranges from 2.12 to 4.96 q/ha. These results are promising in terms of early yield forecasting based on MODIS NDVI data.

Keywords

Normalized difference vegetation index; MODIS; Cereal grains; Yield prediction; Fez-Meknes region

Subject

Environmental and Earth Sciences, Remote Sensing

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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