Implementing sustainable irrigation in water-scarce regions under the impact of climate change

G Nikolaou, D Neocleous, A Christou, E Kitta… - Agronomy, 2020 - mdpi.com
The sustainability of irrigated agriculture is threatening due to adverse climate change, given
future projections that every one in four people on Earth might be suffering from extreme …

Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation

L Luo, S Sun, J Xue, Z Gao, J Zhao, Y Yin, F Gao… - Agricultural …, 2023 - Elsevier
CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …

Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region

X Ge, J Ding, X Jin, J Wang, X Chen, X Li, J Liu, B Xie - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …

Land data assimilation: Harmonizing theory and data in land surface process studies

X Li, F Liu, C Ma, J Hou, D Zheng, H Ma… - Reviews of …, 2024 - Wiley Online Library
Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

A machine learning-based approach for surface soil moisture estimations with google earth engine

F Greifeneder, C Notarnicola, W Wagner - Remote Sensing, 2021 - mdpi.com
Due to its relation to the Earth's climate and weather and phenomena like drought, flooding,
or landslides, knowledge of the soil moisture content is valuable to many scientific and …

A novel vegetation-water resistant soil moisture index for remotely assessing soil surface moisture content under the low-moderate wheat cover

J Yue, T Li, Y Liu, J Tian, Q Tian, S Li, H Feng… - … and Electronics in …, 2024 - Elsevier
Soil surface moisture content (SMC) is one of the most critical and fundamental indicators of
crop drought because water is vital for vegetation growth. In recent decades, satellite high …

Irrigation scheduling for agriculture in the United States: The progress made and the path forward

S Taghvaeian, AA Andales, LN Allen… - Transactions of the …, 2020 - elibrary.asabe.org
Highlights The progress made in agricultural irrigation scheduling in the past ten years and
the current challenges are discussed. The main scientific scheduling strategies are based …

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 …

A decade of hydrological drought in Central-Western Argentina

JA Rivera, S Otta, C Lauro, N Zazulie - Frontiers in Water, 2021 - frontiersin.org
Most of the water used for the development of the main socio-economic activities in Central-
Western Argentina (CWA), an arid to semi-arid region, home to most of the Argentinean wine …

Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model

Y Lu, TP Chibarabada, MG Ziliani, JMK Onema… - Agricultural Water …, 2021 - Elsevier
Parameter calibration is normally required prior to crop model simulation, which can be a
time-consuming and data-intensive task. Meanwhile, the growth stages of different …