Hyperspectral remote sensing classifications: a perspective survey
Classification of hyperspectral remote sensing data is more challenging than multispectral
remote sensing data because of the enormous amount of information available in the many …
remote sensing data because of the enormous amount of information available in the many …
Earth observation, spatial data quality, and neglected tropical diseases
Earth observation (EO) is the use of remote sensing and in situ observations to gather data
on the environment. It finds increasing application in the study of environmentally modulated …
on the environment. It finds increasing application in the study of environmentally modulated …
Object-based crop classification with Landsat-MODIS enhanced time-series data
Cropland map** via remote sensing can provide crucial information for agri-ecological
studies. Time series of remote sensing imagery is particularly useful for agricultural land …
studies. Time series of remote sensing imagery is particularly useful for agricultural land …
A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery
AS Laliberte, DM Browning, A Rango - International Journal of Applied …, 2012 - Elsevier
The availability of numerous spectral, spatial, and contextual features with object-based
image analysis (OBIA) renders the selection of optimal features a time consuming and …
image analysis (OBIA) renders the selection of optimal features a time consuming and …
Image processing and classification procedures for analysis of sub-decimeter imagery acquired with an unmanned aircraft over arid rangelands
AS Laliberte, A Rango - GIScience & Remote Sensing, 2011 - Taylor & Francis
Unmanned aerial systems (UAS) have great potential as a platform for acquiring very high
resolution aerial imagery for vegetation map**. However, image processing and …
resolution aerial imagery for vegetation map**. However, image processing and …
A novel method to reduce time investment when processing videos from camera trap studies
KRR Swinnen, J Reijniers, M Breno, H Leirs - PloS one, 2014 - journals.plos.org
Camera traps have proven very useful in ecological, conservation and behavioral research.
Camera traps non-invasively record presence and behavior of animals in their natural …
Camera traps non-invasively record presence and behavior of animals in their natural …
Introduction to the GEOBIA 2010 special issue: From pixels to geographic objects in remote sensing image analysis
Traditional image analysis methods are mostly pixel-based and use the spectral differences
of landscape elements at the Earth surface to classify these elements or to extract element …
of landscape elements at the Earth surface to classify these elements or to extract element …
Effect of feature dimensionality on object-based land cover classification: A comparison of three classifiers
The efficient map** of land cover from remotely sensed data is highly desirable as land
cover information is essential for a range of environmental and socio-economic applications …
cover information is essential for a range of environmental and socio-economic applications …
Assessing agricultural damage by wild boar using drones
A Rutten, J Casaer, MFA Vogels… - Wildlife Society …, 2018 - Wiley Online Library
ABSTRACT In Flanders (northern Belgium), wild boar (Sus scrofa) returned in 2006 after 50
years of absence and the population is increasing, both in abundance and geographic …
years of absence and the population is increasing, both in abundance and geographic …
Rapid monitoring of abandoned farmland and information on regulation achievements of government based on remote sensing technology
K Luo, JP Moiwo - Environmental Science & Policy, 2022 - Elsevier
Farmland abandonment has become a worldwide phenomenon, and remote sensing
technology has been used to monitor this phenomenon. However, information on only the …
technology has been used to monitor this phenomenon. However, information on only the …