Работы, цитирующие эту работу

Работ: 3

Работа: Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data

1. Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning

   Khilola Amankulova, Nizom Farmonov, Khasan Omonov +2

   СтатьяRemote Sensing in AgricultureAdvances in Space Research2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000252

2. Drought safety levels assessment in Uzbekistan part of the Khorezm oasis by geospatial methods

   Muzaffar Matchanov, Matías Mudarra, Askar Nigmatov +4

   СтатьяHydrology and Drought AnalysisGeodesy and Cartography2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.005646

3. Shrub Extraction in Arid Regions Based on Feature Enhancement and Transformer Network from High-Resolution Remote Sensing Images

   Hao Liu, Wenjie Zhang, Yong Cheng +9

   СтатьяRemote Sensing in AgricultureForests2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.007811