Irina Gladkova

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Due to the harsh conditions of space, the detectors within satellite-based multispectral imagers are always at risk of damage or failure. In particular, 15 out of the 20 detectors that produce the 1.6-μm band 6 of Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua are either dead or noisy. In this paper, we describe a quantitative image(More)
The algorithms for estimating snow extent for the Moderate Resolution Imaging Spectroradiometer (MODIS) optimally use the 1.6-μm channel which is unavailable for MODIS on Aqua due to detector damage. As a test bed to demonstrate that Aqua band 6 can be restored, we chose the area surrounding Yellowstone and Grand Teton national parks. In such rugged and(More)
Deltas are highly sensitive to increasing risks arising from local human activities, land subsidence, regional water management, global sea-level rise, and climate extremes. We quantified changing flood risk due to extreme events using an integrated set of global environmental, geophysical, and social indicators. Although risks are distributed across all(More)
The National Aeronautics and Space Administration’s Moderate Resolution Imaging Spectroradiometer (MODIS)-based snow mask product critically uses 1.6 μm band 6. The snow mask algorithm for MODIS on Aqua has been adapted to use the 2.1 μm band 7, since some of Aqua’s MODIS detectors are nonfunctional. We have previously introduced an algorithm for(More)
In this paper we consider the problem of constructing a waveform with globally optimal ambiguity surface properties in a region surrounding the main lobe. We consider Hermite waveforms as the basis functions of our construction algorithm and discuss the problem of minimizing the volume under the ambiguity surface over a certain given region. In the case of(More)
In this paper, which is part of an ongoing sequence of papers devoted to the subject of efficient noise-tolerant lossless compression of satellite data for transmission, we describe an algorithm for this purpose which effectively addresses the above criteria. Our algorithm exhibit the potential to achieve noise-tolerant compression ratios averaging 3.2 : 1.(More)
As new instruments are developed, it is becoming clear that our ability to generate data is rapidly outstripping our ability to transmit this data. The Advanced Baseline Imager (ABI), that is currently being developed as the future imager on the Geostationary Environmental Satellite (GOES-R) series, will offer more spectral bands, higher spatial resolution,(More)
Distinguishing between clouds and snow is an intrinsically challenging problem because both have similar high albedo across many bands. The 1.6-mm channel (band 6) on the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument provides an essential tool for distinguishing clouds from snow, since snow typically has a much lower albedo in this band.(More)