UAVs as remote sensing platforms in plant ecology: review of applications and challenges
Abstract Aims Unmanned aerial vehicles (UAVs), ie drones, have recently emerged as cost-
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …
Technology innovation: advancing capacities for the early detection of and rapid response to invasive species
Abstract The 2016–2018 National Invasive Species Council (NISC) Management Plan and
Executive Order 13751 call for US federal agencies to foster technology development and …
Executive Order 13751 call for US federal agencies to foster technology development and …
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
The ability to automatically monitor agricultural fields is an important capability in precision
farming, enabling steps towards more sustainable agriculture. Precise, high-resolution …
farming, enabling steps towards more sustainable agriculture. Precise, high-resolution …
[HTML][HTML] Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models
White leaf disease (WLD) is an economically significant disease in the sugarcane industry.
This work applied remote sensing techniques based on unmanned aerial vehicles (UAVs) …
This work applied remote sensing techniques based on unmanned aerial vehicles (UAVs) …
The rapid rise of next-generation natural history
Many ecologists have lamented the demise of natural history and have attributed this
decline to a misguided view that natural history is outdated and unscientific. Although there …
decline to a misguided view that natural history is outdated and unscientific. Although there …
[HTML][HTML] Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine …
We evaluate three approaches to mapping vegetation using images collected by an
unmanned aerial vehicle (UAV) to monitor rehabilitation activities in the Five Islands Nature …
unmanned aerial vehicle (UAV) to monitor rehabilitation activities in the Five Islands Nature …
Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: A case study in a citrus …
This study aimed to compare and assess different Geographic Object-Based Image Analysis
(GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) …
(GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) …
Deep convolutional neural network for large-scale date palm tree mapping from UAV-based images
Large-scale mapping of date palm trees is vital for their consistent monitoring and
sustainable management, considering their substantial commercial, environmental, and …
sustainable management, considering their substantial commercial, environmental, and …
Pattern to process, research to practice: remote sensing of plant invasions
Processes that drive plant invasions play out across multiple spatial and temporal scales.
Understanding individual steps along the introduction-naturalization-invasion continuum …
Understanding individual steps along the introduction-naturalization-invasion continuum …
Remote sensing for vegetation monitoring in carbon capture storage regions: A review
Abstract Carbon Capture and Storage (CCS) is an emerging climate change mitigation
technology which prevents carbon dioxide (CO 2) from entering the atmosphere, so as to …
technology which prevents carbon dioxide (CO 2) from entering the atmosphere, so as to …