Reference : Phytomass estimation using eMODIS NDVI and ground data in arid rangelands of Morocco
Scientific journals : Article
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/222123
Phytomass estimation using eMODIS NDVI and ground data in arid rangelands of Morocco
English
Mahyou, Hamid [Institut National de la Recherche Agronomique Maroc, Centre Régional de la Recherche Agronomique d’Oujda > > > >]
Tychon, Bernard mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement >]
Lang, Marie mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) >]
Balaghi, Riad [Institut National de la Recherche Agronomique Maroc, Centre Régional de la Recherche Agronomique de Meknès > > > >]
11-Apr-2018
African Journal of Range and Forage Science
Taylor & Francis
Yes (verified by ORBi)
International
1022-0119
1727-9380
United Kingdom
[en] arid pasture ; biomass ; Morocco ; regression model ; vegetation index
[en] The assessment of rangeland productivity in semi-extensively grazed arid rangelands is a prerequisite for livestock
management in relation to sustainable use of pastoral resources. The objective of this study was to assess
rangeland productivity based on normalised difference vegetation index (NDVI) images. Data on phytomass were
measured on 61 field samples in arid rangelands of Morocco, covering various rangeland categories during autumn
(November) and spring (April), i.e. when phytomass is at low and high levels, respectively, for two consecutive
years (2008 and 2009). Dekadal EROS Moderate Resolution Imaging Spectroradiometer (eMODIS) NDVI data
were linearly regressed to field measurements for these four periods. Results show that phytomass values were
correlated with NDVI during spring, with R 2 and RMSE values of 0.82 and 0.3 t ha−1, respectively. This study
indicates there is a high potential for operational use of remotely sensed data to estimate rangeland phytomass of
semi-extensively grazed rangelands.
http://hdl.handle.net/2268/222123
10.2989/10220119.2018.1436088
https://doi.org/10.2989/10220119.2018.1436088

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