Applications of remote sensing in precision agriculture: A review

RP Sishodia, RL Ray, SK Singh - Remote sensing, 2020 - mdpi.com
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …

An overview of global leaf area index (LAI): Methods, products, validation, and applications

H Fang, F Baret, S Plummer… - Reviews of …, 2019 - Wiley Online Library
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review

M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

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 …

A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops

N Amarasingam, ASA Salgadoe, K Powell… - Remote Sensing …, 2022 - Elsevier
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …

Remote sensing of land change: A multifaceted perspective

Z Zhu, S Qiu, S Ye - Remote Sensing of Environment, 2022 - Elsevier
The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …

Using linear regression, random forests, and support vector machine with unmanned aerial vehicle multispectral images to predict canopy nitrogen weight in corn

H Lee, J Wang, B Leblon - Remote Sensing, 2020 - mdpi.com
The optimization of crop nitrogen fertilization to accurately predict and match the nitrogen (N)
supply to the crop N demand is the subject of intense research due to the environmental and …

[HTML][HTML] An assessment of pasture soils quality based on multi-indicator weighting approaches in semi-arid ecosystem

S Karaca, O Dengiz, İD Turan, B Özkan, M Dedeoğlu… - Ecological …, 2021 - Elsevier
The development of soil quality index in the vicinity of the Van Lake pasture lands located in
the Northern East Part of Turkey under semi-arid terrestrial ecosystem is very important …

Multi-crop green LAI estimation with a new simple Sentinel-2 LAI Index (SeLI)

N Pasqualotto, J Delegido, S Van Wittenberghe… - Sensors, 2019 - mdpi.com
The spatial quantification of green leaf area index (LAIgreen), the total green
photosynthetically active leaf area per ground area, is a crucial biophysical variable for …

Red-edge band vegetation indices for leaf area index estimation from Sentinel-2/MSI imagery

Y Sun, Q Qin, H Ren, T Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The estimation of leaf area index (LAI) from optical remotely sensed data based on
vegetation indices (VIs) is a quick and practical approach to acquire LAI over vast areas …