Accurate land cover maps based on remote sensing observations are required for a.o. the evaluation of vegetation change models. In this study, where we investigate the intensification and extensification of land use in an area in southern France, purely spectrally based classification accuracy proved not to be sufficient. Therefore, we present a method to classify Mediterranean vegetation commu...

In this paper, we explore the role of best bands algorithms in the context of maximizing the performance of hyperspectral algorithms. Specifically, we first focus on creating an intuitive framework for how metrics quantify the distance between two spectra. Focusing on the Spectral Angle Mapper (SAM) metric, we demonstrate how the separability of two spectra can be increased by choosing the band...

This paper attempts to integrate satellite imagery such as Cartosat-1 with high spatial resolution and IRS P6 LISS IV with high spectral resolution using digital image fusion algorithms. This integration and mixing of hispectral and higher spatial data with complementary spectral and spatial characteristics, has proved to be promising to obtain images with high spatial and spectral resolution s...

Efficient exploitation of hyperspectral imagery is of great importance in remote sensing. Artificial Intelligence approaches have been receiving favorable reviews for classification of hypersepctral data because the complexity of such data challenges the limitations of many conventional methods. Artificial Neural Networks (ANNs) were shown to outperform traditional classifiers in many situation...

This study aims to evaluate three classes of methods to discriminate between 13 peatland vegetation types using reflectance data. These vegetation types were empirically defined according to their composition, strata and biodiversity richness. On one hand, it is assumed that the same vegetation type spectral signatures have similarities. Consequently, they can be compared to a reference spectra...

Karas (Aquilaria malaccensis) is well known for producing gaharu, a fragrant material which is extremely valuable for cosmetic products manufacturing. Due to its un-permitted harvesting, there is an alarming depletion in the natural forests, which requires some forms of quick monitoring in near real time. A study on the spatial distribution of Karas trees in Bukit Nanas F.R., Federal Territory ...

The mafic and ultramafic rocks of Mettupalayam belong to the southern granulite terrain India, which is concomitant with vital economic resources. advantage Advanced Spaceborne Thermal Emission Reflectance Radiometer (ASTER) data for mapping litho units are exploited well here differentiating rock aid band combination (1, 3, 6), principal component analysis (5, 1, 6) ratioed (2/3, 3/2, 1/5 (9–8...

Urban vegetations have infinite proven benefits for urban inhabitants including providing shade, improving air quality, and enhancing the look and feel of communities. But creating a complete inventory is a time consuming and resource intensive process. The extraction of urban vegetation is a challenging task, especially to monitor the urban tree heights. In this study we present an efficient e...