Mohammadtaghi Niknejad
10 Papers
3 Citations
Mohammadtaghi Niknejad is an academic researcher. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 1, co-authored 9 publications. Previous affiliations of Mohammadtaghi Niknejad include University of Twente.
Chat about Author
Papers
A dataset of 10-year regional-scale soil moisture and soil temperature measurements at multiple depths on the Tibetan Plateau
Donghai Zheng,Mohammadtaghi Niknejad +1 more
- 19 Jul 2022
TL;DR: In this paper , the authors presented a long-term (~10 years) SMST profile dataset collected from the Tibet-Obs, which includes the original in-situ measurements at a 15-min interval collected between 2008 and 2019 from all the three networks and the spatially upscaled data (SMups and STups) for the Maqu and Shiquanhe networks.
Soil Moisture Mapping Using Uncrewed Arial Systems (UAS)
Salvatore Manfreda,Michael Mason,Қодиров Рустам Абдуманнович,E. Kocsis,E. Kocsis,A. A. Legalov,Mohammadtaghi Niknejad,NMNH Division of Mammals +7 more
- 28 Mar 2022
TL;DR: In this article , four methods, which include the apparent thermal inertia method, Kubelka method, simplified temperature-vegetation triangle method, and random forest model, were compared by theory background, data requirements, operation procedures and SM estimation results.
Physics-informed machine learning for understanding rock moisture dynamics in a sandstone cave
Xiaowei Jiang,Lindsey Tolman,Elke Hockings,Ansgar Meroth,Norman I. Silber,Nathaniel Payne,Mohammadtaghi Niknejad +6 more
- 05 Dec 2022
TL;DR: Wang et al. as discussed by the authors used frequency-domain reflectometry (FDR) to obtain fluctuating rock water content in a sandstone cave of the Yungang Grottoes, China.
Impact of wetting-drying cycles on the hydro-mechanical behaviour of vegetated soil
Rider Efrain Minaya Solorzano,Ibnu Rubianto Santriawan Kuncoro,Mohammadtaghi Niknejad +2 more
- 28 Mar 2022
TL;DR: In this paper , the water content and distribution within the soil matrix are studied through 4D (3D+time) in-vivo x-ray computed tomography and effects on the soil-root microstructure are quantified with 3D image analysis.