Optimising Irish Fen Habitat Mapping: An Evaluation of Temporal Windowing and Spectral Features Using Google Earth Engine and Random Forest. [PDF]
Sensors (Basel)Farrell C +4 more
europepmc +1 more source
Remote sensing for monitoring and managing Eichhornia crassipes: a review of methods, applications, and decision-support frameworks. [PDF]
Environ Monit AssessSalim DHC +4 more
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FireMM-IR: An Infrared-Enhanced Multi-Modal Large Language Model for Comprehensive Scene Understanding in Remote Sensing Forest Fire Monitoring. [PDF]
Sensors (Basel)Cao J, Liu X, Xue R.
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An RS image-fusion method of farmland fertility remote sensing
2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics), 2012We developed an optimum image-fusion system to improve remote sensing precision of farmland fertility with interpretation-lattice. Specifically, we analyzed the image-fusion system implementation through information measures and modeling, and taken into account that the benefits of imagefusion are maximized and the risk of error farmland fertility ...
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The accurate classification approaches for remote sensing image based on GIS and RS
2011 19th International Conference on Geoinformatics, 2011This study selected aquatic vegetation in BaiYangDian Wetland Nature Reserve in Hebei Province. Measuring the spectral reflectance of typical aquatic vegetation included stonewort, reed, lotus and typha, involved high-resolution GeoEye-1(GE) remote sensing image, based on spectral reflectance of different species simulating bands of GE, calculated the ...
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The Application of Remote Sensing (RS) Technology in Renewable Energy Development: A Review
SSRN Electronic Journal, 2017In recent times, the continuous dependence on fossil fuel as a major energy source has come under intense scrutiny in environmental and energy policy discourses. Such energy sources emit greenhouse gases (GHGs) – a major cause of climate change – and threaten global energy security and environmental health.
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VDM-RS: A visual data mining system for exploring and classifying remotely sensed images
Computers & Geosciences, 2009Remotely sensed imagery has become increasingly important in several applications domains, such as environmental monitoring, change detection, fire risk mapping and land use, to name only a few. Several advanced image classification techniques have been developed to analyze such imagery and in particular to improve the accuracy of classifying images in
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