Quantitative assessment of remotely sensed global surface models using various land classes produced from Landsat data in Istanbul
Crossref DOI link: https://doi.org/10.1007/s11769-014-0681-6
Published Online: 2014-05-28
Published Print: 2014-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yastikli, Naci
Sefercik, Umut G.
Esirtgen, Fatih
Text and Data Mining valid from 2014-05-28