Land cover monitoring for water resources management in Angola

Irina Miguel, Ana Navarro, João Rolim, João Catalão, Joel Silva, Marco Painho, Zoltán Vekerdy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

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.

Original languageEnglish
Title of host publicationProceedings of Living Planet Symposium 2016
PublisherEuropean Space Agency
VolumeSP-740
ISBN (Electronic)9789292213053
Publication statusPublished - 1 Aug 2016
EventLiving Planet Symposium 2016 - Prague, Czech Republic
Duration: 9 May 201613 May 2016

Conference

ConferenceLiving Planet Symposium 2016
Country/TerritoryCzech Republic
CityPrague
Period9/05/1613/05/16

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