Forest biochemical and biophysical variables and their spatial and temporal distribution are essential inputs to process-orientated ecosystem models. To provide this information, imaging spectroscopy appears to be a promising tool. In this context, the present study investigates the potential of spectral unmixing to derive sub-pixel crown component fractions in a temperate deciduous forest ecos...

“From pixels to processes” – this the shortest and most essential formulation of all studies, experiments and investigations carried out in the field of Earth remote sensing observations. This formulation reveals two main directions of data interpretation: the first related to classification and feature retrieval, and the second associated with multi-temporal aspects of remotely sensed data and...

Photosynthetic vegetation (PV) and non-photosynthetic vegetation (NPV) are important ground cover types for desertification monitoring and land management. Hyperspectral remote sensing has been proven effective for separating NPV from bare soil, but few studies determined fractional cover of PV (f pv) and NPV (f npv) using multispectral information. The purpose of this study is to evaluate seve...

In this paper, a wavelet-based energy minimization framework is developed for joint estimation of endmembers and abundances without assuming pure pixels while considering the noisy scenario. Spectrally dense overlapped hyperspectral data represented using biorthogonal wavelet bases that yield compact linear mixing model in (sparse) domain. It acts as term helps to reduce solution space unmixed ...

Species classification is an important task when it comes to the study of specific areas without disrupting the ecosystem. In this paper we chose Indian Pines as the test site to classify it into 16 classes of tree species and compare them with ground truth to obtain the accuracy, using various algorithms with machine learning process. The algorithms used are LDA and SVM. Spectral features of t...

Introduction: A TES spectral study of low albedo (LA) deposits within the Amazonis Planitia of Mars revealed that the derived bulk composition of these deposits contain very low silica contents (Fig. 1), classifying some of the deposits as foidites [1]. A foidite is an igneous rock in which feldspathoid minerals constitute ≥60% of the light-colored mineralogy; it is the inclusion of feldspathoi...

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Image