Работы, цитирующие эту работу

Работ: 7

Работа: Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

1. The soil-adjusted vegetation index for soil salinity assessment in Uzbekistan

   Nozimjon Teshaev, Bunyod Mamadaliyev, Azamjon Ibragimov +1

   СтатьяEngineering and Agricultural InnovationsInterCarto InterGIS2020Цитирований: 50

   ABIABI:AkademIndex/openalex/2020.article.000059

2. Applying remote sensing techniques to monitor green areas in Tashkent Uzbekistan

   I. A. Aslanov, Uzbekkhon Mukhtorov, Rahimjon Mahsudov +4

   СтатьяEngineering and Agricultural InnovationsE3S Web of Conferences2021Цитирований: 25

   ABIABI:AkademIndex/openalex/2021.article.000114

3. Evaluation of desertified delta plant communities using spectral indexes and landscape transformation models

   Mamanbek Reimov, Viktor Statov, Polat Reymov +5

   СтатьяSoil and Environmental StudiesE3S Web of Conferences2021Цитирований: 9

   ABIABI:AkademIndex/openalex/2026.other.246187

4. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology

   Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

   СтатьяRemote Sensing in AgricultureGeocarto International2023Цитирований: 7

   ABIABI:AkademIndex/openalex/2023.article.000152

5. Hydrological modeling of agricultural lands on the basis of GIS technologies (On the example of the Chimbay district of the Republic of Karakalpakstan)

   S. Abdurakhmonov, Kuatbay Bekanov, Naurizbay Embergenov +1

   СтатьяEngineering and Agricultural InnovationsE3S Web of Conferences2023Цитирований: 5

   ABIABI:AkademIndex/openalex/2023.article.001368

6. A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

   Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

   СтатьяRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000464

7. Monitoring forest fund lands using remote sensing combined with CollectEarth point data

   S. M. Muratov, D. Sh. Fazilova

   СтатьяRemote Sensing in AgricultureVestnik of North-Eastern Federal University Series Earth Sciences2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.010530