Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
The beginning of the 21st century is marked by a rapid growth of land surface satellite data
and model sophistication. This offers new opportunities to estimate multiple components of …
and model sophistication. This offers new opportunities to estimate multiple components of …
[HTML][HTML] Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
Irrigation water use represents the primary source of freshwater consumption by humans.
The amount of water withdrawals for agricultural purposes is expected to further increase in …
The amount of water withdrawals for agricultural purposes is expected to further increase in …
[HTML][HTML] A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations
Climate change is profoundly affecting the global water cycle, increasing the likelihood and
severity of extreme water-related events. Better decision-support systems are vital to …
severity of extreme water-related events. Better decision-support systems are vital to …
Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product?
E Jalilvand, R Abolafia‐Rosenzweig… - Water Resources …, 2023 - Wiley Online Library
Irrigation is the largest human intervention in the water cycle that can modulate climate
extremes, yet irrigation water use (IWU) remains largely unknown in most regions …
extremes, yet irrigation water use (IWU) remains largely unknown in most regions …
[HTML][HTML] Why make inverse modeling and which methods to use in agriculture? A review
Inverse modeling (IM) is a valuable tool in agriculture for estimating model parameters that
aid in decision-making. It is particularly useful when parameters cannot be directly …
aid in decision-making. It is particularly useful when parameters cannot be directly …
Impact of SAR-based vegetation attributes on the SMAP high-resolution soil moisture product
Abstract NASA's Soil Moisture Active Passive (SMAP) mission employs L-band radiometer
observations with a spatial resolution of~ 33 km to produce global soil moisture products at …
observations with a spatial resolution of~ 33 km to produce global soil moisture products at …
Estimating irrigation water consumption using machine learning and remote sensing data in Kansas high plains
Groundwater-based irrigation has dramatically expanded over the past decades. It has
important implications for terrestrial water, energy fluxes, and food production, as well as …
important implications for terrestrial water, energy fluxes, and food production, as well as …
[HTML][HTML] Estimating multi-scale irrigation amounts using multi-resolution soil moisture data: A data-driven approach using PrISM
Irrigated agriculture is the primary driver of freshwater use and is continuously expanding.
Precise knowledge of irrigation amounts is critical for optimizing water management …
Precise knowledge of irrigation amounts is critical for optimizing water management …
[HTML][HTML] Retrieving the irrigation actually applied at district scale: assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model
Irrigation is the most water consuming activity in the world. Knowing the timing and amount
of irrigation that is actually applied is therefore fundamental for water managers. However …
of irrigation that is actually applied is therefore fundamental for water managers. However …
Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method
The modeling of irrigation in land surface models are generally based on two soil moisture
parameters SM threshold and SM target at which irrigation automatically starts and stops …
parameters SM threshold and SM target at which irrigation automatically starts and stops …