Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
Help about MediaWiki
Special pages
SIGNAL Earth Wiki
Search
Search
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Waterlogging severity index
(section)
Page
Discussion
English
Read
Edit
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
View history
General
What links here
Related changes
Page information
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Monitoring and Measurement == Monitoring of waterlogging severity relies primarily on soil moisture observations within the root zone, typically extending to depths where crop roots are active. Soil moisture data are collected through a combination of ground-based sensors, remote sensing platforms, and hydrological models. Key institutions involved in soil moisture monitoring include the European Space Agency (ESA), which operates the Soil Moisture and Ocean Salinity (SMOS) mission, and the National Aeronautics and Space Administration ([https://en.wikipedia.org/wiki/NASA NASA]), which operates the Soil Moisture Active Passive (SMAP) mission. These satellite missions provide global soil moisture datasets that are essential for assessing waterlogging conditions. Additionally, national agencies such as the United States Department of Agriculture (USDA) and the National Oceanic and Atmospheric Administration ([https://en.wikipedia.org/wiki/National_Oceanic_and_Atmospheric_Administration NOAA]) contribute soil moisture data relevant to agricultural monitoring. The USDA's National Agricultural Statistics Service (NASS) and NOAA's National Weather Service (NWS) provide complementary soil moisture information through ground observations and modeling efforts. Scientific methods for soil moisture measurement include in situ sensors (e.g., time domain reflectometry), remote sensing retrieval algorithms, and data assimilation techniques that integrate multiple data sources to improve accuracy and spatial coverage. Within the SIGNAL system, this phenomenon is treated as a defined environmental signal whose boundaries and measurement conventions are described below.
Summary:
Please note that all contributions to SIGNAL Earth Wiki may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see
SIGNAL Earth Wiki:Copyrights
for details).
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)
Search
Search
Editing
Waterlogging severity index
(section)
Add topic