All systems operational
Q3 2024

A reservoir bathymetry retrieval study using the depth invariant index substrate cluster

Jinshan Zhu · Bopeng Liu · Yina Han · Zhen Chen · Jianzhong Chen · Shijun Ding · Tao Li
10.1016/j.ejrs.2024.05.001 391 Views 0 Citations
0
Citations
391
Views
Abstract not available for this publication.
Cite this Article (APA)
Jinshan, Z., Bopeng, L., Yina, H., Zhen, C., Jianzhong, C., Shijun, D., Tao, L. (2024). A reservoir bathymetry retrieval study using the depth invariant index substrate cluster. The Egyptian Journal of Remote Sensing and Space Sciences. https://doi.org/10.1016/j.ejrs.2024.05.001
Related Papers
Performance assessment of machine learning algorithms for mapping of land use/land cover using remot…
Zeeshan Zafar; Muhammad Zubair; Yuanyuan Zha; Shah Fahd; Adeel Ahmad Nadeem · 2024
68
cites
395
Strategies for dimensionality reduction in hyperspectral remote sensing: A comprehensive overview
Radhesyam Vaddi; B.L.N. Phaneendra Kumar; Prabukumar Manoharan; L. Agilandeeswar · 2024
24
cites
389
Interaction of climate, topography and soil properties with cropland and cropping pattern using remo…
Jinbao Liu; Kangquan Yang; Aqil Tariq; Linlin Lu; Walid Soufan; Ayman El Sabagh · 2023
23
cites
393
Tigris River water surface quality monitoring using remote sensing data and GIS techniques
Wael Ahmed; Suhaib Mohammed; Adel El-Shazly; Salem Morsy · 2023
16
cites
396
Access
View Full Text via DOI
Published in
ISSN 1110-9823
Quartile Q3
AMS Score 52
Field Natural Sciences
Publisher Elsevier / National Authority for
Country 🇪🇬 Egypt
View Journal Profile →
Authors
Publication Details
Year 2024
Language English
Added 24 Jul 2026