Monitoring the Earth’s surface and objects is important for many applications, such as managing natural resources, crop yield predictions, hazard analysis. Remote sensing one of most efficient cost-effective solutions analyzing land-use land-cover (LULC) changes over through advanced computer algorithms, classification change detection. In past literature, various developments were made to dete...

Forest disease is one of the most important factors affecting tree growth and product quality, reducing economic values forest ecosystem goods services. In order to prevent control diseases, accurate detection in a timely manner essential. Unmanned aerial vehicles (UAVs) are becoming an tool for acquiring multispectral imagery, but have not been extensively used diseases. This research project ...

Abstract. Using data collected by the Hyperspectral Imager for Coastal Ocean (HICO) on International Space Station between 2010–2014, hyperspectral reflectance spectra of various floating matters in global oceans and lakes are derived spectral range 400–800 nm. Specifically, entire HICO archive 9411 scenes is first visually inspected to identify suspicious image slicks. Then, a nearest-neighbor...

Plant diseases influence the optical properties of plants in different ways. Depending on the host pathogen system and disease specific symptoms, different regions of the reflectance spectrum are affected, resulting in specific spectral signatures of diseased plants. The aim of this study was to examine the potential of hyperspectral imaging and non-imaging sensor systems for the detection, dif...

This study determined some spectral characteristics and relationship between Landsat spectral reflectance and soil surface color in the arid region of Iran (Kashan). The study carried out in the kashan area that covers 90000 ha. Consisting of mountain, hills and flood plain. Enhanced Thematic Mapper (ETM+) data collected on July 2002 were used for this research. The color composite images produ...

We study the topological construction called Mapper in the context of simply connected domains, in particular on images. The Mapper construction can be considered as a generalization for contour, split, and joint trees on simply connected domains. A contour tree on an image domain assumes the height function to be a piecewise linear Morse function. This is a rather restrictive class of function...

Hyper-DRELIO (Hyperspectral DRone for Environmental and LIttoral Observations) is a custom, mini-UAV (unmanned aerial vehicle) platform (<20 kg), equipped with light push broom hyperspectral sensor combined navigation module measuring position orientation. Because of the particularities UAV surveys (low flight altitude, small spatial scale, high resolution), dedicated pre-processing methods ...

Spatiotemporal fusion in remote sensing plays an important role Earth science applications by using information complementarity between different data to improve image performance. However, several problems still exist, such as edge contour blurring and uneven pixels the predicted real ground image, extraction of salient features convolutional neural networks (CNNs). We propose a spatiotemporal...