UAV-based forest health monitoring: A systematic review
In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery
P Thanh Noi, M Kappas - Sensors, 2017 - mdpi.com
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
Having the ability to make accurate assessments of above ground biomass (AGB) at high
spatial resolution is invaluable for the management of dryland forest resources in areas at …
spatial resolution is invaluable for the management of dryland forest resources in areas at …
[HTML][HTML] Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak
Research into remote sensing tools for monitoring physiological stress caused by biotic and
abiotic factors is critical for maintaining healthy and highly-productive plantation forests …
abiotic factors is critical for maintaining healthy and highly-productive plantation forests …
Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest
This paper presents the scientific outcomes of the 2018 Data Fusion Contest organized by
the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
Landsat-8 vs. Sentinel-2: examining the added value of sentinel-2's red-edge bands to land-use and land-cover mapping in Burkina Faso
The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite
imagery received a major boost with the recent launch of the Sentinel-2 sensor by the …
imagery received a major boost with the recent launch of the Sentinel-2 sensor by the …
Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management
M Romero, Y Luo, B Su, S Fuentes - Computers and electronics in …, 2018 - Elsevier
Remote sensing can provide a fast and reliable alternative for traditional in situ water status
measurement in vineyards. Several vegetation indices (VIs) derived from aerial multispectral …
measurement in vineyards. Several vegetation indices (VIs) derived from aerial multispectral …
Urban tree species classification using a WorldView-2/3 and LiDAR data fusion approach and deep learning
S Hartling, V Sagan, P Sidike, M Maimaitijiang… - Sensors, 2019 - mdpi.com
Urban areas feature complex and heterogeneous land covers which create challenging
issues for tree species classification. The increased availability of high spatial resolution …
issues for tree species classification. The increased availability of high spatial resolution …
Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imagery
The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …
techniques have been successfully utilized to evaluate the chlorophyll content for the …