Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Kristofer Lasko"'
Autor:
Kristofer Lasko, Francis D. O'Neill
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 298-314 (2024)
This study presents an automated methodology to generate training data to map up-to-date artificial impervious surface (AIS) extent maps using two dates (winter and nonwinter) of a Sentinel-2 granule across six international sites (Egypt, India, Qata
Externí odkaz:
https://doaj.org/article/c91da7b4caa04f1badf8b47c9829b013
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 868 (2024)
Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a c
Externí odkaz:
https://doaj.org/article/4afb12a1538447c0a40792e5b45437e4
Publikováno v:
Sensors, Vol 24, Iss 5, p 1587 (2024)
A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery does not exist. This study presents a methodology to map nine-class, six-class, and five-
Externí odkaz:
https://doaj.org/article/1cecc3b8c88c4cec98abb93297016e69
Autor:
Krishna Vadrevu, Aditya Eaturu, Emily Casadaban, Kristofer Lasko, Wilfrid Schroeder, Sumalika Biswas, Louis Giglio, Chris Justice
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-21 (2022)
Abstract Vegetation fires are common in South/Southeast Asian (SA/SEA) countries. However, very few studies focused on vegetation fires and the changes during the COVID as compared to pre-pandemic. This study fills an information gap and reports tota
Externí odkaz:
https://doaj.org/article/f9a2989700c74451955eacc30dd17c18
Autor:
Kristofer Lasko
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4221 (2022)
Multispectral imagery provides unprecedented information on Earth system processes: however, data gaps due to clouds and shadows are a major limitation. Normalized-Difference Vegetation Index (NDVI) and Normalized-Difference Water Index (NDWI) are tw
Externí odkaz:
https://doaj.org/article/046d6e3e874d442fbcb4998c7be900ae
Autor:
Kristofer Lasko, Megan C. Maloney, Sarah J. Becker, Andrew W. H. Griffin, Susan L. Lyon, Sean P. Griffin
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4531 (2021)
This study presents an automated methodology to generate training data for surface water mapping from a single Sentinel-2 granule at 10 m (4 band, VIS/NIR) or 20 m (9 band, VIS/NIR/SWIR) resolution without the need for ancillary training data layers.
Externí odkaz:
https://doaj.org/article/6161a5bed89240a9842e572dcc904218
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0214628 (2019)
[This corrects the article DOI: 10.1371/journal.pone.0196629.].
Externí odkaz:
https://doaj.org/article/bf046083f072480398ed30deb81fed7c
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0196629 (2018)
Air pollution is one of the major environmental concerns in Vietnam. In this study, we assess the current status of air pollution over Hanoi, Vietnam using multiple different satellite datasets and weather information, and assess the potential to cap
Externí odkaz:
https://doaj.org/article/02b665658e3e4a14a922d9c32ec7b3dd
Autor:
Krishna Vadrevu, Kristofer Lasko
Publikováno v:
Remote Sensing, Vol 10, Iss 7, p 978 (2018)
Quantifying emissions from crop residue burning is crucial as it is a significant source of air pollution. In this study, we first compared the fire products from two different sensors, the Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m acti
Externí odkaz:
https://doaj.org/article/a78c681749c54d36a46e18ede7f6c7ea
Autor:
Sumalika Biswas, Krishna Prasad Vadrevu, Zin Mar Lwin, Kristofer Lasko, Christopher O Justice
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0124346 (2015)
Fire is an important disturbance agent in Myanmar impacting several ecosystems. In this study, we quantify the factors impacting vegetation fires in protected and non-protected areas of Myanmar. Satellite datasets in conjunction with biophysical and
Externí odkaz:
https://doaj.org/article/14462909ef3349fdb5ecdadeb09cff14