Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China

Y Qu, Z Zhu, C Montzka, L Chai, S Liu, Y Ge, J Liu… - Journal of …, 2021 - Elsevier
Microwave remote sensing is able to retrieve soil moisture (SM) at an adequate level of
accuracy. However, these microwave remotely sensed SM products usually have a spatial …

Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review

IP Senanayake, KRL Pathira Arachchilage, IY Yeo… - Remote Sensing, 2024 - mdpi.com
Soil moisture (SM) is a key variable driving hydrologic, climatic, and ecological processes.
Although it is highly variable, both spatially and temporally, there is limited data availability …

Estimation and evaluation of high spatial resolution surface soil moisture using multi-sensor multi-resolution approach

S Koley, C Jeganathan - Geoderma, 2020 - Elsevier
Various soil moisture products (AMSR-E at 25 km, SMAP at 9 km, CCI at 25 km) available
from different space agencies, derived using the active microwave remote sensing, may not …

Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning

J Lee, S Park, J Im, C Yoo, E Seo - Journal of Hydrology, 2022 - Elsevier
Three widely used primary soil moisture (SM) data sources, namely, in-situ measurements,
satellite observations, and land surface models (LSM), possess different characteristics. This …

An overview of theoretical and practical issues in spatial downscaling of coarse resolution satellite-derived products

NW Park, Y Kim, GH Kwak - Korean Journal of Remote Sensing, 2019 - koreascience.kr
This paper presents a comprehensive overview of recent model developments and practical
issues in spatial downscaling of coarse resolution satellite-derived products. First …

[HTML][HTML] Intercomparison of very high-resolution surface soil moisture products over Catalonia (Spain)

N Ouaadi, L Jarlan, M Le Page, M Zribi… - Remote Sensing of …, 2024 - Elsevier
The surface soil moisture (SSM) is a key variable for monitoring hydrological, meteorological
and agricultural processes. It can be estimated from active and passive microwave remote …

Impact of Vegetation Gradient and Land Cover Conditions on Soil Moisture Retrievals From Different Frequencies and Acquisition Times of AMSR2

M Zohaib, H Kim, V Lakshmi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spaceborne remote sensing provides great potential for soil moisture (SM) retrieval and
emerged as a significant data source for research in land surface dynamics and associated …

Multi-scale assessment of a cosmic-ray neutron probe observation of soil moisture for surface layer applications in a mountainous forest environment

J Jeong, S Lee, S Cho, K Kim, M Choi - Agricultural and Forest Meteorology, 2024 - Elsevier
Soil moisture is critical to the Earth's water cycle as it influences water exchange between
the land, atmosphere, and oceans. This study assessed the potential of a cosmic-ray …

Development of a new vegetation modulated soil moisture index for the spatial disaggregation of SMAP soil moisture data product

J Sharma, R Prasad, PK Srivastava, SA Yadav… - … of the Earth, Parts A/B/C, 2024 - Elsevier
Microwave remote sensing serves as a complementary tool for soil moisture map** and
monitoring in comparison to the optical and the infrared remote sensing. The key advantage …

Improving spatial representation of soil moisture through the incorporation of single-channel algorithm with different downscaling approaches

J Sharma, R Prasad, PK Srivastava… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
The use of microwave observations in the low-frequency range is a complementary tool for
map** surface soil moisture. The L-band (1–2 GHz) region is a lower frequency band of …