A comprehensive review of remote sensing platforms, sensors, and applications in nut crops

H Jafarbiglu, A Pourreza - Computers and Electronics in Agriculture, 2022 - Elsevier
Background Due to their high protein content, nuts (almond, walnut, and pistachio) are
among the main substitutes for meat, with a growing share of the food basket in the United …

Integrating UAV technology in an ecological monitoring system for community wildlife management areas in Tanzania

LJ Mangewa, PA Ndakidemi, LK Munishi - Sustainability, 2019 - mdpi.com
Unmanned aerial vehicles (UAV) have recently emerged as a new remote sensing aerial
platform, and they are seemingly advancing real-time data generation. Nonetheless …

Mapping coastal wetland biomass from high resolution unmanned aerial vehicle (UAV) imagery

CL Doughty, KC Cavanaugh - Remote Sensing, 2019 - mdpi.com
Salt marsh productivity is an important control of resiliency to sea level rise. However, our
understanding of how marsh biomass and productivity vary across fine spatial and temporal …

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 …

Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations

EF Berra, R Gaulton, S Barr - Remote sensing of environment, 2019 - Elsevier
The monitoring of forest phenology in a cost-effective manner, at a fine spatial scale and
over relatively large areas remains a significant challenge. To address this issue, unmanned …

Measurement and calibration of plant-height from fixed-wing UAV images

X Han, JA Thomasson, GC Bagnall, NA Pugh… - Sensors, 2018 - mdpi.com
Continuing population growth will result in increasing global demand for food and fiber for
the foreseeable future. During the growing season, variability in the height of crops provides …

Characterizing spatial variability in coastal wetland biomass across multiple scales using UAV and satellite imagery

CL Doughty, RF Ambrose, GS Okin… - Remote Sensing in …, 2021 - Wiley Online Library
Coastal wetland biomass is an important indicator of wetland productivity, carbon storage,
health, and vulnerability to climate change. The ability to estimate aboveground biomass …

Greenness indices from a low-cost UAV imagery as tools for monitoring post-fire forest recovery

AR Larrinaga, L Brotons - Drones, 2019 - mdpi.com
During recent years unmanned aerial vehicles (UAVs) have been increasingly used for
research and application in both agriculture and forestry. Nevertheless, most of this work has …

[HTML][HTML] Fusion of drone-Based RGB and multi-spectral imagery for shallow water bathymetry inversion

E Alevizos, D Oikonomou, AV Argyriou, DD Alexakis - Remote Sensing, 2022 - mdpi.com
Shallow bathymetry inversion algorithms have long been applied in various types of remote
sensing imagery with relative success. However, this approach requires that imagery with …

A review of current and potential applications of remote sensing to study the water status of horticultural crops

D Gautam, V Pagay - Agronomy, 2020 - mdpi.com
With increasingly advanced remote sensing systems, more accurate retrievals of crop water
status are being made at the individual crop level to aid in precision irrigation. This paper …