Global monitoring of the vegetation dynamics from the Vegetation Optical Depth (VOD): A review

F Frappart, JP Wigneron, X Li, X Liu, A Al-Yaari, L Fan… - Remote Sensing, 2020 - mdpi.com
Vegetation is a key element in the energy, water and carbon balances over the land
surfaces and is strongly impacted by climate change and anthropogenic effects. Remotely …

Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications

KC Kornelsen, P Coulibaly - Journal of Hydrology, 2013 - Elsevier
The sensitivity of Synthetic Aperture Radar (SAR) to soil moisture is well established,
however, the retrieval of soil moisture from SAR is confounded by the effects of surface …

Synergic use of Sentinel-1 and Sentinel-2 images for operational soil moisture map** at high spatial resolution over agricultural areas

M El Hajj, N Baghdadi, M Zribi, H Bazzi - Remote Sensing, 2017 - mdpi.com
Soil moisture map** at a high spatial resolution is very important for several applications
in hydrology, agriculture and risk assessment. With the arrival of the free Sentinel data at …

Synergetic use of Sentinel-1 and Sentinel-2 data for soil moisture map** at 100 m resolution

Q Gao, M Zribi, MJ Escorihuela, N Baghdadi - Sensors, 2017 - mdpi.com
The recent deployment of ESA's Sentinel operational satellites has established a new
paradigm for remote sensing applications. In this context, Sentinel-1 radar images have …

Soil moisture map** using Sentinel-1 images: Algorithm and preliminary validation

S Paloscia, S Pettinato, E Santi, C Notarnicola… - Remote Sensing of …, 2013 - Elsevier
The main objective of this research is to develop, test and validate a soil moisture content
(SMC) algorithm for GMES Sentinel-1 characteristics. The SMC product, which is to be …

Calibration of the water cloud model at C-band for winter crop fields and grasslands

N Baghdadi, M El Hajj, M Zribi, S Bousbih - Remote Sensing, 2017 - mdpi.com
In a perspective to develop an inversion approach for estimating surface soil moisture of
crop fields from Sentinel-1/2 data (radar and optical sensors), the Water Cloud Model (WCM) …

Soil moisture and irrigation map** in A semi-arid region, based on the synergetic use of Sentinel-1 and Sentinel-2 data

S Bousbih, M Zribi, M El Hajj, N Baghdadi… - Remote Sensing, 2018 - mdpi.com
This paper presents a technique for the map** of soil moisture and irrigation, at the scale
of agricultural fields, based on the synergistic interpretation of multi-temporal optical and …

Research advances of SAR remote sensing for agriculture applications: A review

C Liu, ZX Chen, S Yun, J Chen, T Hasi… - Journal of integrative …, 2019 - Elsevier
Synthetic aperture radar (SAR) is an effective and important technique in monitoring crop
and other agricultural targets because its quality does not depend on weather conditions …

Potential of Sentinel-1 radar data for the assessment of soil and cereal cover parameters

S Bousbih, M Zribi, Z Lili-Chabaane, N Baghdadi… - Sensors, 2017 - mdpi.com
The main objective of this study is to analyze the potential use of Sentinel-1 (S1) radar data
for the estimation of soil characteristics (roughness and water content) and cereal vegetation …

Soil moisture retrieval over irrigated grassland using X-band SAR data

M El Hajj, N Baghdadi, M Zribi, G Belaud… - Remote Sensing of …, 2016 - Elsevier
The aim of this study was to develop an inversion approach to estimate surface soil moisture
from X-band SAR data over irrigated grassland areas. This approach simulates a coupling …