文章基本信息

标题：Estimation of barley yield from Sentinel-1 and Sentinel-2 imagery and climatic variables
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作者：Cristian Iranzo ; Raquel Montorio ; Alberto García-Martín 等
期刊名称：Revista de Teledetección
印刷版ISSN：1988-8740
出版年度：2022
期号：59
页码：59-70
DOI：10.4995/raet.2022.15099
语种：English
出版社：Universitat Politècnica de València
摘要：A precise estimation of agricultural production provides relevant information for upcoming seasons, and helps in the assessment of crop losses before harvest in case of adverse situations. The objective of this work is to explore the development of a model capable of estimating barley production of a small agricultural production (127 ha) in Belchite, Spain. Variables adapted to the crop calendar of the growing barley are used to achieve that purpose. The variables have been created with weather data and remote sensing images. These images are acquired in two ranges of the electromagnetic spectrum, i.e., microwaves and optical spectral range, obtained from Sentinel-1 and Sentinel-2, respectively. Models are defined with a multiple linear regression method using all combinations of the independent variables correlated with production. The best linear regression model has a prediction error of 57.38 kg/ha (4%). The use of spectral variables, derived from radar vegetation index Cross Ratio (CR) and optical Inverted Red Edge Chlorophyll Index (IRECI), and climatic variables adapted to the crop calendar and climatic conditioning is revealed as an adequate strategy to obtain adjusted models.