Работы, цитирующие эту работу

Работ: 5

Работа: 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

   Обзорная статьяRangeland Management and Livestock EcologyAgronomy for Sustainable Development2016Цитирований: 27

   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

   СтатьяRemote Sensing in AgricultureRemote Sensing2012Цитирований: 11

   ABIABI:AkademIndex/openalex/2026.other.016375

3. Framework for agricultural performance assessment based on MODIS multitemporal data

   Dimo Dimov, Fabian Löw, Johannes Uhl +4

   СтатьяRemote Sensing in AgricultureJournal of Applied Remote Sensing2019Цитирований: 9

   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

   СтатьяRemote Sensing in AgricultureRemote Sensing2016Цитирований: 8

   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

   СтатьяRemote Sensing in AgricultureEuropean Journal of Remote Sensing2017Цитирований: 0

   ABIABI:AkademIndex/openalex/2017.article.000037