Remote sensing and machine learning for crop water stress determination in various crops: a critical review

SS Virnodkar, VK Pachghare, VC Patil, SK Jha - Precision Agriculture, 2020 - Springer
The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …

Recent advances in crop water stress detection

SO Ihuoma, CA Madramootoo - Computers and Electronics in Agriculture, 2017 - Elsevier
In order to meet the demand for increased global food production under limited water
resources, implementation of suitable irrigation scheduling technique is crucial, particularly …

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

W Jiao, L Wang, MF McCabe - Remote Sensing of Environment, 2021 - Elsevier
Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models

J Yue, G Yang, C Li, Z Li, Y Wang, H Feng, B Xu - Remote Sensing, 2017 - mdpi.com
Correct estimation of above-ground biomass (AGB) is necessary for accurate crop growth
monitoring and yield prediction. We estimated AGB based on images obtained with a …

Estimation of soil moisture from optical and thermal remote sensing: A review

D Zhang, G Zhou - Sensors, 2016 - mdpi.com
As an important parameter in recent and numerous environmental studies, soil moisture
(SM) influences the exchange of water and energy at the interface between the land surface …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

PROSPECT+ SAIL models: A review of use for vegetation characterization

S Jacquemoud, W Verhoef, F Baret, C Bacour… - Remote sensing of …, 2009 - Elsevier
The combined PROSPECT leaf optical properties model and SAIL canopy bidirectional
reflectance model, also referred to as PROSAIL, has been used for about sixteen years to …

A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale

N Alahacoon, M Edirisinghe - Geomatics, Natural Hazards and …, 2022 - Taylor & Francis
This study reports a comprehensive review on drought indices used in monitoring
meteorological, agricultural, hydrological, and socio-economic drought. Drought indices …

Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes

XL Chen, HM Zhao, PX Li, ZY Yin - Remote sensing of environment, 2006 - Elsevier
Global warming has obtained more and more attention because the global mean surface
temperature has increased since the late 19th century. As more than 50% of the human …

[PDF][PDF] Application of remote sensing methods in agriculture

M Wójtowicz, A Wójtowicz… - … in biometry and crop …, 2016 - researchgate.net
With advances in satellite, airborne and ground based remote sensing, reflectance data are
increasingly being used in agriculture. This paper reviews various remote sensing methods …