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Alexander Krylov
Researcher at University of Maryland, College Park
Publications - 21
Citations - 1259
Alexander Krylov is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Forest dynamics & Disturbance (geology). The author has an hindex of 12, co-authored 21 publications receiving 958 citations.
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Journal ArticleDOI
Eastern Europe's forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive
Peter Potapov,Svetlana Turubanova,Alexandra Tyukavina,Alexander Krylov,Jessica L. McCarty,Volker C. Radeloff,Matthew C. Hansen +6 more
TL;DR: In this article, the authors developed an algorithm to simultaneously process data from different Landsat platforms and sensors (TM and ETM+) to map annual forest cover loss and decadal forest cover gain.
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Humid tropical forest disturbance alerts using Landsat data
Matthew C. Hansen,Alexander Krylov,Alexandra Tyukavina,Peter Potapov,Svetlana Turubanova,Bryan Zutta,Suspense Ifo,Belinda Arunarwati Margono,Fred Stolle,Rebecca Moore +9 more
TL;DR: A Landsat-based humid tropical forest disturbance alert was implemented for Peru, the Republic of Congo and Kalimantan, Indonesia in 2014 and through September 2015, respectively.
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National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey
Xiao-Peng Song,Peter Potapov,Alexander Krylov,Lee Ann King,Carlos Marcelo Di Bella,Carlos Marcelo Di Bella,Carlos Marcelo Di Bella,A. Hudson,Ahmad Khan,Bernard Adusei,Stephen V. Stehman,Matthew C. Hansen +11 more
TL;DR: In this paper, a method for estimating in-season crop acreage using a probability sample of field visits and producing wall-to-wall crop type maps at national scales is presented.
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Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012
Alexandra Tyukavina,Alessandro Baccini,Matthew C. Hansen,Peter Potapov,Stephen V. Stehman,Richard A. Houghton,Alexander Krylov,Svetlana Turubanova,Scott J. Goetz +8 more
TL;DR: In this article, the authors present a new estimate that employs recommended good practices to quantify gross tropical forest aboveground carbon (AGC) loss from 2000 to 2012 through the integration of Landsat-derived tree canopy cover, height, intactness and forest cover loss and GLAS-lidar derived forest biomass.
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Mapping tree height distributions in Sub-Saharan Africa using Landsat 7 and 8 data
Matthew C. Hansen,Peter Potapov,Scott J. Goetz,Svetlana Turubanova,Alexandra Tyukavina,Alexander Krylov,Anil Kommareddy,A. Egorov +7 more
TL;DR: In this paper, a regression tree algorithm accurately reproduced the LiDAR-derived height training data with an overall mean absolute error (MAE) for tree height estimation of 2.45m using integrated Landsat 7 and 8 data.