English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Water resources are getting more and more important with each passing day in case of survival of humanity. For this reason, assessingwater resources’ quality and also monitoring them have attracted lots of attention in the recent years. Remote sensing has been growingwidely in the last decade and its resources are very usable when it comes to water resources management. In this study, by using remotesensing technology, satellite images that have 350 to 1050 nanometres wavelength band sensors (e.g. CHRIS Proba) are used todetermine the quality of the Kizilirmak River’s water. Kizilirmak River is born and also pours out to sea in country limits of Turkey.It is the longest river of the country by the length of 1355 kilometres. Through the river’s resources, ground based spectralmeasurements are made to identify the quality differences of the water at the test spots that have been determined before. In this contextat Imranli, where the river contacts civilization for the first time, which is located in Sivas city of Turkey, samples are gathered in orderto do ground based spectroradiometer measurements. These samples are gathered simultaneously with the image acquiring time ofCHRIS Proba satellite. Spectral signatures that are obtained from ground measurements are used as reference data in order to classifyCHRIS Proba satellite’s hyperspectral images over the study area. Satellite images are classified based on Chemical Oxygen Demand(COD), Turbidity and Electrical Conductivity (EC) attributes. As a result, interpretations obtained from classified CHRIS Probasatellite hyperspectral images of the study area are presented

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Determining and Monitoring the Water Quality of Kizilirmak River of Turkey: First Results