A technical study on UAV characteristics for precision agriculture applications and associated practical challenges
The incorporation of advanced technologies into Unmanned Aerial Vehicles (UAVs)
platforms have enabled many practical applications in Precision Agriculture (PA) over the …
platforms have enabled many practical applications in Precision Agriculture (PA) over the …
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions
MA Moharram, DM Sundaram - Neurocomputing, 2023 - Elsevier
Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …
Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
When dealing with multiple growth stages, estimates of above-ground biomass (AGB) based
on optical vegetation indices (VIs) are difficult for two reasons:(i) optical VIs saturate at …
on optical vegetation indices (VIs) are difficult for two reasons:(i) optical VIs saturate at …
Current practices in UAS-based environmental monitoring
With the increasing role that unmanned aerial systems (UAS) are playing in data collection
for environmental studies, two key challenges relate to harmonizing and providing …
for environmental studies, two key challenges relate to harmonizing and providing …
[HTML][HTML] Estimating the maize biomass by crop height and narrowband vegetation indices derived from UAV-based hyperspectral images
Y Zhang, C Xia, X Zhang, X Cheng, G Feng, Y Wang… - Ecological …, 2021 - Elsevier
Monitoring the aboveground biomass (AGB) of maize is essential for improving site-specific
nutrient management and predicting yield to ensure food safety. A low-altitude unmanned …
nutrient management and predicting yield to ensure food safety. A low-altitude unmanned …
Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop …
Timely monitoring of above-ground biomass (AGB) is essential for indicating the crop growth
status and predicting grain yield and carbon dynamics. Non-destructive remote sensing …
status and predicting grain yield and carbon dynamics. Non-destructive remote sensing …
Mapping plantations in Myanmar by fusing Landsat-8, Sentinel-2 and Sentinel-1 data along with systematic error quantification
Forests in Southeast Asia are experiencing some of the highest rates of deforestation and
degradation in the world, with natural forest species being replaced by cropland and …
degradation in the world, with natural forest species being replaced by cropland and …
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons
Imaging spectroscopy provides the opportunity to monitor nutrient status of vegetation. In
crops, prior studies have generally been limited in scope, either to a small wavelength range …
crops, prior studies have generally been limited in scope, either to a small wavelength range …
Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices
Y Zhou, C Lao, Y Yang, Z Zhang, H Chen… - Agricultural Water …, 2021 - Elsevier
Timely and accurate detection of crop water stress is vital for precision irrigation. Whether
the accuracy of the prevailing diagnosis of crop water stress using vegetation indices (VIs) …
the accuracy of the prevailing diagnosis of crop water stress using vegetation indices (VIs) …