Gleason, Colin & Durand, Michael. (2020). Remote Sensing of River Discharge: A Review and a Framing for the Discipline. Remote Sensing. 12. 1107. 10.3390/rs12071107.

A comprehensive review of how remote sensing is applied in aid of hydrology for ungauged basins.

Recent changes to Arctic river discharge Nature Comm.

The authors examine the changes in Arctive river discharge from three aspects: 1. trend analysis, 2. inttermetency, and 3. timing of freshet

In doing so, they extracted Landsat-derived discharge data using river width as proxy. Then, they assimilate these data to two popular global large dataset.

CYGNSS

A nice blog introducing what CYGNSS can do in Atmospheric Science or Hydrology:https://earthobservatory.nasa.gov/blogs/fromthefield/2021/12/15/five-years-and-counting-happy-birthday-to-the-cygnss-octuplets/

  1. Hurricane tracks
  2. River outflow to ocean
  3. Flood inundation extent
  4. Soil moisture

First attempt of global-scale assimilation of subdaily scale soil moisture estimates from CYGNSS and SMAP into a land surface model

The authors find five soil moisture products (i.e., four from satellite and one from land surface model) to analyze their uncertainties and limitations using Triple Collocation. They also fused satellite products into land surface models to improve the accuracy. They can attribute the pixels gained greatest improvement to each satellite soil moisture product.

Description of the UCAR/CU Soil Moisture Product

Landsat

The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset Sci. Rep.

Placement bias of the global river gauge network

Assessing placement bias of the global river gauge network Installed gauges favor high human footprint, developed regions while ignoring rural regions. This paper calls attention to where should next gauges be installed.

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

A collection of remote sensing satellites for drought monitoring.