Ushbu ishga iqtibos qilgan ishlar

4 ta ish

Ish: Efficiency and accuracy of per-field classification for operational crop mapping

1. Multi-temporal monitoring of cotton growth through the vegetation profile classification for Tashkent province, Uzbekistan

   Jasmina Gerts, Mukhiddin Juliev, Alim Pulatov

   MaqolaRemote Sensing in AgricultureGeoScape202030 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.059251

2. Reconstructing the Spatio-Temporal Development of Irrigation Systems in Uzbekistan Using Landsat Time Series

   Jana Edlinger, Christopher Conrad, John P. A. Lamers +2

   MaqolaRemote Sensing in AgricultureRemote Sensing201211 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.016375

3. Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan

   Christopher Conrad, Maren Rahmann, Miriam Machwitz +3

   MaqolaRemote Sensing in AgricultureGlobal and Planetary Change20137 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.016447

4. Towards improved land use mapping of irrigated croplands: performance assessment of different image classification algorithms and approaches

   Amit Kumar Basukala, Carsten Oldenburg, J. Schellberg +2

   MaqolaRemote Sensing in AgricultureEuropean Journal of Remote Sensing20170 iqtibos

   ABIABI:AkademIndex/openalex/2017.article.000037