Advanced machine learning in point spectroscopy, RGB-and hyperspectral-imaging for automatic discriminations of crops and weeds: A review
WH Su - Smart Cities, 2020 - mdpi.com
Crop productivity is readily reduced by competition from weeds. It is particularly important to
control weeds early to prevent yield losses. Limited herbicide choices and increasing costs …
control weeds early to prevent yield losses. Limited herbicide choices and increasing costs …
Remote detection of invasive plants: a review of spectral, textural and phenological approaches
BA Bradley - Biological invasions, 2014 - Springer
Remote sensing image analysis is increasingly being used as a tool for mapping invasive
plant species. Resulting distribution maps can be used to target management of early …
plant species. Resulting distribution maps can be used to target management of early …
[HTML][HTML] Site-based and remote sensing methods for monitoring indicators of vegetation condition: An Australian review
Native vegetation around the world is under threat from historical and ongoing clearance,
overgrazing, invasive species, increasing soil and water salinity, altered fire regimes, poor …
overgrazing, invasive species, increasing soil and water salinity, altered fire regimes, poor …
New optimized spectral indices for identifying and monitoring winter wheat diseases
The vegetation indices from hyperspectral data have been shown to be effective for indirect
monitoring of plant diseases. However, a limitation of these indices is that they cannot …
monitoring of plant diseases. However, a limitation of these indices is that they cannot …
Comparison of machine learning algorithms for forest parameter estimations and application for forest quality assessments
Q Zhao, S Yu, F Zhao, L Tian, Z Zhao - Forest Ecology and Management, 2019 - Elsevier
Forest parameters have been estimated using various regression methods based on
satellite data. However, there are a few concerns regarding further application of these …
satellite data. However, there are a few concerns regarding further application of these …
Monitoring invasive plant species using hyperspectral remote sensing data
The species richness and biodiversity of vegetation in Hungary are increasingly threatened
by invasive plant species brought in from other continents and foreign ecosystems. These …
by invasive plant species brought in from other continents and foreign ecosystems. These …
Classification of herbaceous vegetation using airborne hyperspectral imagery
Alkali landscapes hold an extremely fine-scale mosaic of several vegetation types, thus it
seems challenging to separate these classes by remote sensing. Our aim was to test the …
seems challenging to separate these classes by remote sensing. Our aim was to test the …
Early detection of invasive exotic trees using UAV and manned aircraft multispectral and LiDAR Data
Exotic conifers can provide significant ecosystem services, but in some environments, they
have become invasive and threaten indigenous ecosystems. In New Zealand, this …
have become invasive and threaten indigenous ecosystems. In New Zealand, this …
Utility of unmanned aerial vehicles for mapping invasive plant species: a case study on yellow flag iris (Iris pseudacorus L.)
DJ Hill, C Tarasoff, GE Whitworth, J Baron… - … Journal of Remote …, 2017 - Taylor & Francis
This study investigates the utility of an off-the-shelf, consumer-grade unmanned aerial
vehicle (UAV) for invasive species mapping in a lacustrine fringe environment. Specifically …
vehicle (UAV) for invasive species mapping in a lacustrine fringe environment. Specifically …
Mapping an invasive bryophyte species using hyperspectral remote sensing data
Reliable distribution maps are crucial for the management of invasive plant species. An
alternative to traditional field surveys is the use of remote sensing data, which allows …
alternative to traditional field surveys is the use of remote sensing data, which allows …