Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future

ZL Li, P Leng, C Zhou, KS Chen, FC Zhou… - Earth-Science …, 2021 - Elsevier
Soil moisture (SM) is an essential parameter for understanding the interactions and
feedbacks between the atmosphere and the Earth's surface through energy and water …

Imaging spectroscopy for soil mapping and monitoring

S Chabrillat, E Ben-Dor, J Cierniewski, C Gomez… - Surveys in …, 2019 - Springer
There is a renewed awareness of the finite nature of the world's soil resources, growing
concern about soil security and significant uncertainties about the carrying capacity of the …

[HTML][HTML] Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

X Ge, J Wang, J Ding, X Cao, Z Zhang, J Liu, X Li - PeerJ, 2019 - peerj.com
Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …

Monitoring sustainable development by means of earth observation data and machine learning: A review

B Ferreira, M Iten, RG Silva - Environmental Sciences Europe, 2020 - Springer
This paper presents and explores the different Earth Observation approaches and their
contribution to the achievement of United Nations Sustainable Development Goals. A review …

Soil organic carbon mapping using LUCAS topsoil database and Sentinel-2 data: An approach to reduce soil moisture and crop residue effects

F Castaldi, S Chabrillat, A Don, B van Wesemael - Remote Sensing, 2019 - mdpi.com
Soil organic carbon (SOC) loss is one of the main causes of soil degradation in croplands.
Thus, spatial and temporal monitoring of SOC is extremely important, both from the …

[HTML][HTML] Estimating grassland vegetation cover with remote sensing: A comparison between Landsat-8, Sentinel-2 and PlanetScope imagery

D Andreatta, D Gianelle, M Scotton, M Dalponte - Ecological Indicators, 2022 - Elsevier
Grassland fractional vegetation cover (FVC) accurate mapping on a large scale is crucial,
since degraded grasslands contribute less to provisioning services, carbon storage, water …

Development of soil moisture indices from differences in water absorption between shortwave-infrared bands

J Yue, J Tian, Q Tian, K Xu, N Xu - ISPRS Journal of Photogrammetry and …, 2019 - Elsevier
Soil moisture (SM) controls the exchange of water and heat energy between the land
surface and the atmosphere through evaporation and plant transpiration, and timely and …

[HTML][HTML] Simultaneous estimation of multiple soil properties under moist conditions using fractional-order derivative of vis-NIR spectra and deep learning

Y Liu, Y Lu, D Chen, W Zheng, Y Ma, X Pan - Geoderma, 2023 - Elsevier
The application of visible and near-infrared (vis-NIR) spectroscopy for predicting soil
properties presents a cost-effective and time-efficient approach for evaluating various soil …

MARMIT: A multilayer radiative transfer model of soil reflectance to estimate surface soil moisture content in the solar domain (400–2500 nm)

A Bablet, PVH Vu, S Jacquemoud… - Remote Sensing of …, 2018 - Elsevier
Surface soil moisture content (SMC) is known to impact soil reflectance at all wavelengths of
the solar spectrum. As a consequence, many semi-empirical methods aim at inferring SMC …

Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources

C De Grave, J Verrelst, P Morcillo-Pallarés… - Remote Sensing of …, 2020 - Elsevier
The ESA's forthcoming FLuorescence EXplorer (FLEX) mission is dedicated to the global
monitoring of the vegetation's chlorophyll fluorescence by means of an imaging …