A deep learning-based method for mapping alpine intermittent rivers and ephemeral streams of the Tibetan Plateau from Sentinel-1 time series and DEMs

J Fei, J Liu, L Ke, W Wang, P Wu, Y Zhou - Remote Sensing of Environment, 2022 - Elsevier
Flow regime changes of Intermittent Rivers and Ephemeral Streams (IRES) can serve as an
indicator under global warming, yet the distribution of IRES is rarely extracted at the alpine …

MODIS-Landsat fusion-based single-band algorithms for TSS and turbidity estimation in an urban-waste-dominated river reach

DP Sahoo, B Sahoo, MK Tiwari - Water Research, 2022 - Elsevier
Riverine ecosystem management along an urban stretch mostly depends on high-frequent
(daily-scale) monitoring of water quality at finer spatial resolutions. However, with the …

Integrated remote sensing and machine learning tools for estimating ecological flow regimes in tropical river reaches

DP Sahoo, B Sahoo, MK Tiwari, GK Behera - Journal of Environmental …, 2022 - Elsevier
With the gradual declining streamflow gauging stations in many world-rivers, emphasis is
given nowadays to develop remote sensing (RS)-based approaches as the next-generation …

Calibrating a hydrological model in ungauged small river basins of the northeastern Tibetan Plateau based on near-infrared images

Z Yu, J Wu, H Yao, X Chen, Y Cai - Journal of Hydrology, 2023 - Elsevier
River discharge monitoring sites are scarce in high mountain basins, especially on the
Tibetan Plateau where rivers are widely distributed. The potential for estimating river …

River flow monitoring by Sentinel-3 OLCI and MODIS: Comparison and combination

A Tarpanelli, F Iodice, L Brocca, M Restano… - Remote Sensing, 2020 - mdpi.com
The monitoring of rivers by satellite is an up-to-date subject in hydrological studies as
confirmed by the interest of space agencies to finance specific missions that respond to the …

Discharge estimation using integrated satellite data and hybrid model in the midstream Yangtze River

J Xiong, S Guo, J Yin - Remote Sensing, 2021 - mdpi.com
Remotely sensing data have advantages in filling spatiotemporal gaps of in situ observation
networks, showing potential application for monitoring floods in data-sparse regions. By …

Global satellite-based river gauging and the influence of river morphology on its application

J Hou, AIJM van Dijk, HE Beck - Remote Sensing of Environment, 2020 - Elsevier
In the face of a sparse global river gauging station network in decline, new approaches are
needed to reconstruct and monitor river discharge from satellite observations. Where in-situ …

Assessing uncertainties of a remote sensing-based discharge reflectance model for applications to large rivers of the Congo Basin

D Kechnit, RM Tshimanga, A Ammari… - Hydrological Sciences …, 2024 - Taylor & Francis
Adequate monitoring of river discharge is crucial for effective water resource management.
However, this objective remains difficult to achieve in the context of large and ungauged …

Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery

H Li, H Li, J Wang, X Hao - Journal of Hydrology, 2023 - Elsevier
River ice monitoring is vital for water resources, hydrological research, and operational
management of flood risk from ice jams. Remote sensing offers an efficient way to monitor …

The influence of river morphology on the remote sensing based discharge estimation: implications for satellite virtual gauge establishment

Z Shi, Q Chen, C Huang - Water, 2022 - mdpi.com
Monitoring of river discharge is a key process for water resources management, soil and
water conservation, climate change, water cycling, flood or drought warning, agriculture and …