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Land cover monitoring for water resources management in Angola
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Orientador(es)
Resumo(s)
The aim of this paper is to assess the impact of improved temporal resolution and multi-source satellite data (SAR and optical) on land cover mapping and monitoring for efficient water resources management. For that purpose, we developed an integrated approach based on image classification and on NDVI and SAR backscattering (VV and VH) time series for land cover mapping and crop's irrigation requirements computation. We analysed 28 SPOT-5 Take-5 images with high temporal revisiting time (5 days), 9 Sentinel-1 dual polarization GRD images and in-situ data acquired during the crop growing season. Results show that the combination of images from different sources provides the best information to map agricultural areas. The increase of the images temporal resolution allows the improvement of the estimation of the crop parameters, and then, to calculate of the crop's irrigation requirements. However, this aspect was not fully exploited due to the lack of EO data for the complete growing season.
Descrição
Miguel, I., Navarro, A., Rolim, J., Catalão, J., Silva, J., Painho, M., & Vekerdy, Z. (2016). Land cover monitoring for water resources management in Angola. In Proceedings of Living Planet Symposium 2016 (Vol. SP-740). European Space Agency.
Palavras-chave
Aerospace Engineering Space and Planetary Science
Contexto Educativo
Citação
Editora
European Space Agency