Ushbu ishga iqtibos qilgan ishlar

5 ta ish

Ish: An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data

1. Impact of agricultural land use in Central Asia: a review

   Ahmad Hamidov, Katharina Helming, Dagmar Balla

   Sharh maqolaRangeland Management and Livestock EcologyAgronomy for Sustainable Development201627 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.008311

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. Framework for agricultural performance assessment based on MODIS multitemporal data

   Dimo Dimov, Fabian Löw, Johannes Uhl +4

   MaqolaRemote Sensing in AgricultureJournal of Applied Remote Sensing20199 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.201629

4. Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012

   Christopher Conrad, Sarah Schönbrodt‐Stitt, Fabian Löw +2

   MaqolaRemote Sensing in AgricultureRemote Sensing20168 iqtibos

   ABIABI:AkademIndex/openalex/2016.article.000040

5. 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