Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

R Prasad, RC Deo, Y Li, T Maraseni - Geoderma, 2018 - Elsevier
Soil moisture (SM) is an essential component of the environmental and the agricultural
system. Continuous monitoring and forecasting of soil moisture is a desirable strategy to …

A review of the thermal biology and ecology of molluscs, and of the use of infrared thermography in molluscan research

L Seuront, TPT Ng, JA Lathlean - Journal of Molluscan Studies, 2018 - academic.oup.com
In an era of global change, thermal biology and ecology are becoming increasingly popular
topics in invertebrate research, including molluscs. However, this area of research is still …

Mixing trees and crops increases land and water use efficiencies in a semi-arid area

W Bai, Z Sun, J Zheng, G Du, L Feng, Q Cai… - Agricultural Water …, 2016 - Elsevier
Sustainable increases in food production in semi-arid regions require efficient use of land
and water resources. Agroforestry is the practice of combining tree and crop cultivation on a …

Estimation of soil moisture using deep learning based on satellite data: A case study of South Korea

CS Lee, E Sohn, JD Park, JD Jang - GIScience & Remote Sensing, 2019 - Taylor & Francis
The Korea Meteorological Administration uses soil moisture (SM) observed by the Advanced
Microwave Scanning Radiometer-2 (AMSR2) to monitor drought. However, it may not be …

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

R Prasad, RC Deo, Y Li, T Maraseni - Soil and Tillage Research, 2018 - Elsevier
Soil moisture (SM) is a key component of the global energy cycle that regulates all domains
of the natural environmental and the agricultural system. In this research, the challenge is to …

Quantifying long-term land surface and root zone soil moisture over Tibetan Plateau

R Zhuang, Y Zeng, S Manfreda, Z Su - Remote Sensing, 2020 - mdpi.com
It is crucial to monitor the dynamics of soil moisture over the Tibetan Plateau, while
considering its important role in understanding the land-atmosphere interactions and their …

A web-based system for satellite-based high-resolution global soil moisture maps

M Khazaei, S Hamzeh, NN Samani, A Muhuri… - Computers & …, 2023 - Elsevier
Nowadays, a wide range of applications require near-real-time Surface Soil Moisture (SSM)
data at high spatial resolution. However, operational passive microwave systems like SMOS …

Vicarious calibration of sUAS microbolometer temperature imagery for estimation of radiometric land surface temperature

A Torres-Rua - Sensors, 2017 - mdpi.com
In recent years, the availability of lightweight microbolometer thermal cameras compatible
with small unmanned aerial systems (sUAS) has allowed their use in diverse scientific and …

Upscaling of surface soil moisture using a deep learning model with VIIRS RDR

D Zhang, W Zhang, W Huang, Z Hong… - … International Journal of …, 2017 - mdpi.com
In current upscaling of in situ surface soil moisture practices, commonly used novel statistical
or machine learning-based regression models combined with remote sensing data show …

Remote sensing of soil moisture: An overview in relation to coastal soils

V Klemas, CW Finkl, N Kabbara - Journal of Coastal …, 2014 - meridian.allenpress.com
ABSTRACT Klemas, V.; Finkl, CW, and Kabbara, N., 2014. Remote sensing of soil moisture:
an overview in relation to coastal soils. Soil moisture plays an important role in the exchange …