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Estimation and Prediction of Cereal Production Using Normalized Difference Vegetation Index Time Series (Sentinel-2) Data in Central Spain

Estimating production in cereal fields allows farmers to obtain information on improving management in their following campaigns and avoiding losses. The main objective of this work was to estimate grain production in cereals (wheat and barley) in the 2019 and 2020 campaigns in three provinces of Central Spain. The model was based on the prediction of the maximum values of the Sentinel-2 Normalized Difference Vegetation Index (NDVI) time series with ARIMA and multiple linear regression models. The highest correlation was found between grain yield and the variables’ five-month cumulative rainfall and maximum greenness (NDVImax).

Technical INFOLANDYN Conference

In june the InfoLandyn conference took place, where people representing companies such as QUASAR SR, ESRI, PROSECAR, TRAGSATEC attended.

Contribution to scientific to the XIX Congress of the Spanish Remote Sensing Association (AET)

We have contributed to the XIX Congress of the Spanish Remote Sensing Association (AET) with the following communications: Monitoring of rice seasonality using Sentinel-2 time series in Guayas (Ecuador) presented by Laura Recuero Pavón. Identification of maize dynamics in areas with a high level of cloudiness (Ecuador) with NDVI-MODIS time series presented by César Sáenz Flores.

Doctoral thesis reading Our colleague Víctor Cicuéndez López-Ocaña recently read his doctoral thesis entitled Assessment of different components of the Carbon flux in forest and agricultural ecosystems using remote sensing data and field measurements.

You can read it Here:

In the current context of global change, a wide and deep knowledge on land surface dynamics at large scales is crucial to understand biosphere-atmosphere interactions, to make climate predictions and to manage natural resources and agricultural lands helping to ensure food security.

The aim of this project is to design and implement an Information System to develop and make available objective, succinct and clear products of land surface dynamics derived from remote sensing time series at several scales. The products developed will contain ecological meaning providing essential information to assess global change impacts. These products will be easily revised and updated so that operability will be guaranteed.