A pilot study for mapping the Arctic wetlands was conducted in Yukon Flats National Wildlife Refuge (Refuge), Alaska. It included commissioning HySpex VNIR-1800 and SWIR-384 imaging spectrometers a single-engine Found Bush Hawk aircraft, planning flight times, direction, speed to minimize strong bidirectional reflectance distribution function (BRDF) effects present at high latitudes establishin...

The objective of this work is to develop an algorithm for pansharpening of very high resolution (VHR) satellite imagery that reduces the spectral distortion of the pansharpened images and enhances their spatial clarity with minimal computational costs. In order to minimize the spectral distortion and computational costs, the global injection gain is transformed to the local injection gains usin...

Deep learning has been developed to generate promising super resolution hyperspectral imagery by fusing with the panchromatic band. However, it is still challenging maintain edge spectral information in necessary upsampling processes of these approaches, and difficult guarantee effective feature extraction. This study proposes a pansharpening network denoted as HyperRefiner that consists of, (1...

Early in its mission, the Landsat-7 spacecraft was temporarily placed in a ‘‘tandem’’ orbit very close to that of the Landsat-5 spacecraft in order to facilitate the establishment of sensor calibration continuity between the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-5 Thematic Mapper (TM) sensors. The key period for the tandem configuration was June 1–4, 1999, during which hund...

Fungal diseases have a significant negative impact on strawberry yield. Their detection and differentiation using hyperspectral measurements is possible alternative to traditional methods. In this study, leaves infected with Ramularia Tulasnei, Marssonina potentillae Dendrophoma obscurans visible symptoms of the disease were used for analysis. The reflection spectrum was recorded Photonfocus ca...

Visual image interpretation and digital image classification have been used to map and monitor mangrove extent and composition for decades. The presence of a high-spatial resolution hyperspectral sensor can potentially improve our ability to differentiate mangrove species. However, little research has explored the use of pixel-based and object-based approaches on high-spatial hyperspectral data...

Optical remote sensing imagery and orthophoto derived stem density were classified to map coniferous forest cover for a study area located in the Western Hunsrück, Germany. Our objectives were (i) to investigate if hyperspectral data contain more information relevant to classification of species and age classes than multispectral imagery and (ii) to test in what way classification results can b...

The uncertainty verification of satellite ocean color products and the bias analysis multiple data are both indispensable in evaluation products. Incidentally, often have missing information that causes methods mentioned above to be difficult evaluate these effectively. We propose an method based on data-free area. objective this study is quality with respect integrity continuity. First, we use...

Hyperspectral imaging technology has been popularly applied in remote sensing because it collects echoed signals from across the electromagnetic (EM) spectrum and thereby contributes fruitfully spatial-spectral information. However, processing or storage of high-data-volume hyperspectral images (HSIs), also viewed as snapshots varying with EM spectrum, burdens hardware resources, especially for...

Urban land cover classification using remote sensing data is quite challenging due to spectrally and spatially complex urban features. The present study describes the potential use of hyperspectral data for urban land cover classification and its comparison with multispectral data. EO-1 Hyperion data of October 05, 2012 covering parts of Bengaluru city was analyzed for land cover classification...