Работы, цитирующие эту работу

Работ: 8

Работа: The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar

1. Comparison of Digital Elevation Models for Determining the Area and Volume of the Water Reservoir

   Masharif Bakiev, Khojiakbar Khasanov

   СтатьяSatellite Image Processing and PhotogrammetryInternational Journal of Geoinformatics2021Цитирований: 17

   ABIABI:AkademIndex/openalex/2021.article.000201

2. Will climate change exacerbate water stress in Central Asia?

   Tobias Siegfried, Thomas Bernauer, Renaud Guiennet +5

   СтатьяCryospheric studies and observationsClimatic Change2011Цитирований: 15

   ABIABI:AkademIndex/openalex/2011.article.000003

3. Evaluation of ASTER DEM and SRTM DEM data for determining the area and volume of the water reservoir

   Khojiakbar Khasanov

   СтатьяSynthetic Aperture Radar (SAR) Applications and TechniquesIOP Conference Series Materials Science and Engineering2020Цитирований: 9

   ABIABI:AkademIndex/openalex/2026.other.193657

4. Tracing the Palaeolithic settlement patterns in the Western Tian Shan piedmont: an example of predictive GIS modelling use

   Michał Leloch, Małgorzata Kot, Г. Д. Павленок +3

   СтатьяPleistocene-Era Hominins and ArchaeologyJournal of Quaternary Science2021Цитирований: 4

   ABIABI:AkademIndex/openalex/2021.article.001074

5. Real-time remote sensing driven river basin modeling using radar altimetry

   Silvio Pereira-Cardenal, Niels Riegels, P. A. M. Berry +4

   СтатьяFlood Risk Assessment and ManagementHydrology and earth system sciences2011Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.013972

6. Real-time remote sensing driven river basin modelling using radar altimetry

   Silvio Pereira-Cardenal, Niels Riegels, P. A. M. Berry +4

   ПрепринтFlood Risk Assessment and Management2010Цитирований: 0

   ABIABI:AkademIndex/openalex/2010.preprint.000002

7. Vertical Accuracy of Freely Available Global Digital Elevation Models: A Case Study in Karaman Water Reservoir Territory

   B. Masharif, Khojiakbar Khasanov, I. Primbetov

   СтатьяEngineering and Agricultural InnovationsInternational Journal of Geoinformatics2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.001169

8. CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking

   Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode +6

   СтатьяHydrology and Watershed Management StudiesEarth system science data2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000184