Mathematical analysis of Sentinel-2 spectral signal evolution for mapping agriculture area in Senegal: case of millet, maize and peanuts
Agricultural monitoring has become an absolute necessity in the Sahel
countries, especially with climate change which constitutes a real threat for this sector. The aim of this work is to develop a methodology for identifying crops and mapping agricultural areas using Sentinel-2 data from the Copernicus program.
The purpose of this work consisted in discriminating the crops of millet, maize and peanuts. This is to analyse the scientific and technical obstacles related to this problem. For this, we have made a mathematical analysis of optical satellite images. High temporal and spatial resolution images (10m to 60m) of Sentinel 2 sensors were used in this work. This unique set of data coupled with field data, has permitted to carry out a diagnosis of land cover and cultivated land surfaces, and evaluating the contribution of this type of data for crop forecast.
Auteur(s) : Faye G., Mbaye M., Mbaye M., & Diongue K-D
Pages : 1009-1025
Année de publication : 2020
Revue : African Journal of Applied Statistics
N° de volume : 7
Type : Article
Mise en ligne par : FAYE Gayane