Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5–14 µm) to Discriminate Vegetation Species

Identifying plant species using mid-wave infrared (2.5–6μm) and thermal infrared (8–14μm) emissivity spectra

(2011) Saleem Ullah et al.   REMOTE SENSING OF ENVIRONMENT

Thermal Infrared Spectrometer for Earth Science Remote Sensing Applications—Instrument Modifications and Measurement Procedures

(2011) Christoph Hecker et al.   SENSORS

Testing genetic algorithm as a tool to select relevant wavebands from field hyperspectral data for estimating pasture mass and quality in a mixed sown pasture using partial least squares regression

(2010) Kensuke Kawamura et al.   GRASSLAND SCIENCE

Influence of Water Content on Spectral Reflectance of Leaves in the 3–15- $\mu\hbox{m}$ Domain

(2010) Sophie Fabre et al.   IEEE Geoscience and Remote Sensing Letters

Modeling directional–hemispherical reflectance and transmittance of fresh and dry leaves from 0.4μm to 5.7μm with the PROSPECT-VISIR model

(2010) F. Gerber et al.   REMOTE SENSING OF ENVIRONMENT

Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry

(2009) Elhadi Adam et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Identification of plant species by using high spatial and spectral resolution thermal infrared (8.0–13.5μm) imagery

(2009) Beatriz Ribeiro da Luz et al.   REMOTE SENSING OF ENVIRONMENT

Fast and highly accurate calculation of band averaged radiance

(2008) X. Hao et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING