A multi-scale algorithm for the NISAR mission high-resolution soil moisture product

P Lal, G Singh, NN Das, D Entekhabi, R Lohman… - Remote Sensing of …, 2023 - Elsevier
This study proposes a multi-scale soil moisture algorithm for the upcoming NASA-ISRO SAR
(NISAR) mission to estimate high-resolution (200 [m]) soil moisture (the water content of the …

A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products

H Kim, WT Crow, W Wagner, X Li, V Lakshmi - Remote Sensing of …, 2023 - Elsevier
Estimating accurate surface soil moisture (SM) dynamics from space, and knowing the error
characteristics of these estimates, is of great importance for the application of satellite-based …

Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method

LE Olivera-Guerra, P Laluet, V Altés, C Ollivier… - Agricultural Water …, 2023 - Elsevier
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 …

Simulation-optimization based real-time irrigation scheduling: A human-machine interactive method enhanced by data assimilation

X Li, J Zhang, X Cai, Z Huo, C Zhang - Agricultural Water Management, 2023 - Elsevier
Efficient irrigation scheduling is crucial for both improving crop production and saving
irrigation water use in arid/semi-arid agricultural regions threatened by water shortage and …

Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS)

A Chakraborty, M Saharia, S Chakma, DK Pandey… - Journal of …, 2024 - Elsevier
Land surface models have facilitated the estimation of soil moisture over a range of
spatiotemporal scales. However, limitations in model parameterization and under …

[HTML][HTML] Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model

Z Heyvaert, S Scherrer, W Dorigo, M Bechtold… - Science of Remote …, 2024 - Elsevier
This study explores the potential of integrating satellite retrievals of surface soil moisture
(SSM) and vegetation conditions into the Noah-MP land surface model. In total, five data …

Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation

TM Lahmers, SV Kumar, KA Locke, S Wang… - Scientific Reports, 2023 - nature.com
Hydrologic extremes often involve a complex interplay of several processes. For example,
flood events can have a cascade of impacts, such as saturated soils and suppressed …

Contributions of irrigation modeling, soil moisture and snow data assimilation to high‐resolution water budget estimates over the Po basin: Progress towards digital …

GJM De Lannoy, M Bechtold… - Journal of Advances …, 2024 - Wiley Online Library
High‐resolution water budget estimates benefit from modeling of human water management
and satellite data assimilation (DA) in river basins with a large human footprint. Utilizing the …

Improving weather forecast skill of the Korean Integrated Model by assimilating Soil Moisture Active Passive soil moisture anomalies

Y Kwon, S Jun, E Kim, KH Seol, S Hong… - Quarterly Journal of …, 2024 - Wiley Online Library
This study investigates the potential benefit of assimilating soil moisture (SM) data retrieved
from Soil Moisture Active Passive (SMAP) in improving global SM estimates and enhancing …

[HTML][HTML] Quantifying and valuing irrigation in energy and water limited agroecosystems

ME Soylu, RL Bras - Journal of Hydrology X, 2024 - Elsevier
Agriculture in regions with limited water availability is possible because of irrigation. Irrigated
croplands are expanding, and irrigation water demand is increasing. Nevertheless, there is …