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] UAV in the advent of the twenties: Where we stand and what is next
Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …
making them popular instruments for a wide range of applications, and leading to a …
Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
UAV-based hyperspectral monitoring using push-broom and snapshot sensors: A multisite assessment for precision viticulture applications
Hyperspectral aerial imagery is becoming increasingly available due to both technology
evolution and a somewhat affordable price tag. However, selecting a proper UAV+ …
evolution and a somewhat affordable price tag. However, selecting a proper UAV+ …
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach
Given its high nutritional value and capacity to grow in harsh environments, quinoa has
significant potential to address a range of food security concerns. Monitoring the …
significant potential to address a range of food security concerns. Monitoring the …
Predicting biomass and yield in a tomato phenotyping experiment using UAV imagery and random forest
Biomass and yield are key variables for assessing the production and performance of
agricultural systems. Modeling and predicting the biomass and yield of individual plants at …
agricultural systems. Modeling and predicting the biomass and yield of individual plants at …
[HTML][HTML] Direct reflectance transformation methodology for drone-based hyperspectral imaging
Multi-and hyperspectral cameras on drones can be valuable tools in environmental
monitoring. A significant shortcoming complicating their usage in quantitative remote …
monitoring. A significant shortcoming complicating their usage in quantitative remote …
Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery
Australia is one of the world's largest producers of macadamia nuts. As macadamia trees
can take up to 15 years to mature and produce maximum yield, it is important to optimize …
can take up to 15 years to mature and produce maximum yield, it is important to optimize …
UAV multisensory data fusion and multi-task deep learning for high-throughput maize phenotyping
Recent advances in unmanned aerial vehicles (UAV), mini and mobile sensors, and GeoAI
(a blend of geospatial and artificial intelligence (AI) research) are the main highlights among …
(a blend of geospatial and artificial intelligence (AI) research) are the main highlights among …
[HTML][HTML] PROSAIL-Net: A transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images
Accurate and efficient estimation of crop biophysical traits, such as leaf chlorophyll
concentrations (LCC) and average leaf angle (ALA), is an important bridge between …
concentrations (LCC) and average leaf angle (ALA), is an important bridge between …