A synergistic approach using optical and SAR data to estimate crop's irrigation requirements

João Rolim; Ana Navarro Ferreira; Cátia Saraiva; João Catalão

doi:10.1117/12.2241054

25 October 2016 A synergistic approach using optical and SAR data to estimate crop's irrigation requirements

João Rolim, Ana Navarro Ferreira, Cátia Saraiva, João Catalão

Proceedings Volume 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII; 99980W (2016) https://doi.org/10.1117/12.2241054
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

A study conducted in the scope of the Alcantara initiative in Angola shown that optical and SAR images allows the estimation of crop's irrigation requirements (CIR) based on a soil water balance model (IrrigRotation). The methodology was applied to east central Portugal, to evaluate its transferability in cases of different climatic conditions and crop types. SPOT-5 Take-5 and Sentinel-1A data from April to September 2015 are used to generate NDVI and backscattering maize crop time series. Both time series are then correlated and a linear regression equation is computed for some maize parcels identified in the test area. Next, basal crop coefficients (K_cb) are determined empirically from the K_cb-NDVI relationships applied within the PLEIADeS project and also from the K_cb-SAR relationships retrieved from the linear fit of both EO data for other maize parcels. These K_cb allow to overcome a major drawback related to the use of the FAO tabulated K_cb, only available for the initial, mid and late season of a certain crop type. More frequent K_cb values also allow a better identification of the crop's phenological stages lengths. CIR estimated from EO data are comparable to the ones obtained with tabulated FAO 56 K_cb values for crops produced under standard conditions, while for crops produced in suboptimal conditions, EO data allow to improve the estimation of the CIR. Although CIR results are promising, further research is required in order to improve the K_cb initial and K_cb end values to avoid the overestimation of the CIR.

Conference Presentation

Citation Download Citation

João Rolim, Ana Navarro Ferreira, Cátia Saraiva, and João Catalão "A synergistic approach using optical and SAR data to estimate crop's irrigation requirements", Proc. SPIE 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 99980W (25 October 2016); https://doi.org/10.1117/12.2241054

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