Remote sensing for precision agriculture: Sentinel-2 improved features and applications

J Segarra, ML Buchaillot, JL Araus, SC Kefauver - Agronomy, 2020 - mdpi.com
The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …

A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses

L Karthikeyan, I Chawla, AK Mishra - Journal of Hydrology, 2020 - Elsevier
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …

Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions

A Yousaf, V Kayvanfar, A Mazzoni… - Frontiers in Sustainable …, 2023 - frontiersin.org
As the world population is expected to touch 9.73 billion by 2050, according to the Food and
Agriculture Organization (FAO), the demand for agricultural needs is increasing …

A review of irrigation information retrievals from space and their utility for users

C Massari, S Modanesi, J Dari, A Gruber… - Remote Sensing, 2021 - mdpi.com
Irrigation represents one of the most impactful human interventions in the terrestrial water
cycle. Knowing the distribution and extent of irrigated areas as well as the amount of water …

Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data

X Yang, Q Qin, H Yésou, T Ledauphin, M Koehl… - Remote Sensing of …, 2020 - Elsevier
The first national product of Surface Water Dynamics in France (SWDF) is generated on a
monthly temporal scale and 10-m spatial scale using an automatic rule-based superpixel …

Machine learning to estimate surface soil moisture from remote sensing data

H Adab, R Morbidelli, C Saltalippi, M Moradian… - Water, 2020 - mdpi.com
Soil moisture is an integral quantity parameter in hydrology and agriculture practices.
Satellite remote sensing has been widely applied to estimate surface soil moisture …

Comparison of bagging, boosting and stacking algorithms for surface soil moisture map** using optical-thermal-microwave remote sensing synergies

B Das, P Rathore, D Roy, D Chakraborty, RS Jatav… - Catena, 2022 - Elsevier
Soil moisture information is key to irrigation water management, drought monitoring, and
yield prediction. It plays a vital role in the water cycle and energy budget between the earth's …

[HTML][HTML] Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2

S Bousbih, M Zribi, C Pelletier, A Gorrab… - Remote Sensing, 2019 - mdpi.com
This paper discusses the combined use of remotely sensed optical and radar data for the
estimation and map** of soil texture. The study is based on Sentinel-1 (S-1) and Sentinel …

An advanced change detection method for time-series soil moisture retrieval from Sentinel-1

L Zhu, R Si, X Shen, JP Walker - Remote Sensing of Environment, 2022 - Elsevier
The feasibility of soil moisture retrieval from C-band Sentinel-1 data has been widely
acknowledged, with pre-operational 1-km products currently available at regional and/or …

Combined Sentinel-1A with Sentinel-2A to estimate soil moisture in farmland

Y Liu, J Qian, H Yue - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
In this article, seven filter algorithms were compared. The Lee sigma method was more
suitable for estimating soil moisture (SM) than the other filtering methods under different land …