Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products

H Kim, R Parinussa, AG Konings, W Wagner… - Remote Sensing of …, 2018 - Elsevier
Global-scale surface soil moisture (SSM) products retrieved from active and passive
microwave remote sensing provide an effective method for monitoring near-real-time SSM …

Editing arcs to improve the capacity of GNSS-IR for soil moisture retrieval in undulating terrains

Q Ran, B Zhang, Y Yao, X Yan, J Li - GPS solutions, 2022 - Springer
Abstract Global Navigation Satellite System-interferometric reflectometry (GNSS-IR) has
become an important means to monitor soil moisture content (SMC). It works based on the …

Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data

P Filippucci, A Tarpanelli, C Massari, A Serafini… - Advances in Water …, 2020 - Elsevier
The global warming effects put in danger global water availability and make necessary to
decrease water wastage, eg, by monitoring global irrigation. Despite this, global irrigation …

Downscaling satellite soil moisture using geomorphometry and machine learning

M Guevara, R Vargas - PloS one, 2019 - journals.plos.org
Annual soil moisture estimates are useful to characterize trends in the climate system, in the
capacity of soils to retain water and for predicting land and atmosphere interactions. The …

Global dynamics of stored precipitation water in the topsoil layer from satellite and reanalysis data

H Kim, V Lakshmi - Water Resources Research, 2019 - Wiley Online Library
The amount of soil water in the topsoil layer (from 0 to 10 cm) has been regarded as a key
factor in controlling land‐atmosphere interaction by determining the fraction of net radiation …

Estimating the effect of water shortage on olive trees by the combination of meteorological and Sentinel-2 data

P Battista, E Bellini, M Chiesi… - European Journal of …, 2023 - Taylor & Francis
Relative soil water content (RSWC) is widely used to characterize the impact of water stress
(WS) on vegetation. In bi-layer ecosystems, such as olive groves, this impact must be …

Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture

N Jadidoleslam, R Mantilla, WF Krajewski, MH Cosh - Journal of Hydrology, 2019 - Elsevier
This study focused on the utility of coarse surface soil moisture observations for applications
that require high resolution surface soil moisture information. This was accomplished by …

Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain

E Ayari, M Zribi, Z Lili-Chabaane… - European Journal of …, 2023 - Taylor & Francis
Soil moisture estimation is a key component in hydrological processes and irrigation
amounts' estimation. The synergetic use of optical and radar data has been proven to …

[HTML][HTML] Interpretación de datos aeromagnéticos y gravimétricos satelitales para la identificación de zonas con potencial acuífero en la porción oeste de la cuenca …

MR Bustamante-Orozco, OR Medrano-Pérez… - Boletín de la Sociedad …, 2023 - scielo.org.mx
El objetivo de esta investigación es interpretar las respuestas magnéticas y gravimétricas
del subsuelo en la porción oeste en la cuenca Grijalva, México, para identificar y delimitar …

Digital soil mapping using drone-borne ground-penetrating radar

K Wu, S Lambot - … and Measurement Technologies for Water Cycle …, 2022 - Springer
A drone-based ground-penetrating radar (GPR) is introduced for digital soil mapping in this
chapter. The radar system is lightweight and consists of a handheld vector analyzer (VNA), a …