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Journal of Remote Sensing 2023年第1期3卷 35-47页

作者： Suming Jin Jon Dewitz Patrick Danielson Brian Granneman catherine costello Kelcy Smith Zhe Zhu US Geological Survey Earth Resources Observation and Science(EROS)Center Sioux FallsSD 57198USA KBR Contractor to the US Geological Survey Earth Resources Observation and Science(EROS)CenterSioux FallsSD 57198USA US Geoloegical Survey Geosciences and Environmental Change Science CenterPO Box 25046DFCMS 980DenverCO 80225USA Department of Natural Resources and the Environment University of ConnecticutStorrsCT 06269USA

National Land Cover Database(NLCD)2019 is a new epoch of national land cover products for the conterminous United *** quality is fundamental to the quality of any land cover *** preprocessing has often taken a considerable proportion of overall time and effort for this kind of national *** approach to prepare image inputs for NLCD 2019 production was developed to ensure efficiency and quality of operational ***,we introduce a new and comprehensive strategy to produce clear Landsat composite images for NLCD 2019 ***,we developed a new median-value compositing ***,we designed parameter settings for selecting images and pixels to generate 4 composite images(leaf-on,leaf-off,primary reference,and complementary reference)for a target year based on the US Landsat Analysis Ready Data surface reflectance ***,we developed a method,referred to as Detection and Filling with Simulated Image,to detect and replace clouds and cloud shadow pixels to produce the final clean leaf-on and leaf-off image *** image compositing and processing strategy was implemented for the entire conterminous United States to produce images for NLCD *** image results and NLCD 2019 change detection and land cover products,which were released in July 2021,showed this new strategy to be effective and efficient.

关键词： Image Clean Database

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National Land Cover Database 2019:A Comprehensive Strategy for Creating the 1986–2019 Forest Disturbance Product

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 60-73页

作者： Suming Jin Jon Dewitz Congcong Li Daniel Sorenson Zhe Zhu Md Rakibul Islam Shogib Patrick Danielson Brian Granneman catherine costello Adam Case Leila Gass U.S.Geological Survey Earth Resources Observation and Science(EROS)Center Sioux FallsSD 57198USA ASRC Federal Data Solutions Sioux FallsSD 57198USA U.S.Geological Survey Western Geographic Science CenterSeattleWA 98115USA Department of Natural Resources and the Environment University of ConnecticutStorrsCT 06269USA KBR Sioux FallsSD 57198USA U.S.Geological Survey Geosciences and Environmental Change Science CenterPO Box 25046DFCMS 980DenverCO 80225USA Innovate!Inc. Sioux FallsSD 57198USA U.S.Geological Survey Western Geographic Science CenterARUSA

The National Land Cover Database(NLCD)2016 products show that,between 2001 and 2016,nearly half of the land cover change in the conterminous United States(CONUS)involved forested *** ensure the quality of NLCD land cover and land cover change products,it is important to accurately detect the location and time of forest *** designed a comprehensive strategy to integrate a continuous time series forest change detection method and a discrete 2-date forest change detection method to produce the NLCD 1986-2019 forest disturbance product,which shows the most recent forest disturbance date between the years 1986 and 2019 for every 2-to 3-year *** method,the Time-Series method Using Normalized Spectral Distance(NSD)index(TSUN),uses NSD to detect multi-date forest land cover changes and was shown to be easily extended to a new date even when new images were processed in a different way than previous date *** discrete 2-date method uses the Multi-Index Integrated Change Analysis(MIICA)method to detect changes between 2-date images.A method based on confidence and object grouping was designed to combine the multiple MIICA outputs to improve change detection ***,an aggregation scheme was implemented to combine the TSUN output,the integrated MIICA results,and ancillary data to produce the NLCD 2019 forest disturbance 1986–2019 *** initial accuracy assessments from 1,600 samples over 4 Landsat path/rows show that the producer’s and user’s accuracies of the 2001-2019 forest disturbance map are 76% and 74%,*** final CONUS-wide forest disturbance product is provided at https://***/nlcd-2019-scienceresearch-products.

关键词： Database Strategy disturbance

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MINAR1 is a Notch2-binding protein that inhibits angiogenesis and breast cancer growth

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Journal of Molecular Cell Biology 2018年第3期10卷 195-204页

作者： Rachel Xi-Yeen Ho Rosana D. Meyer Kevin B. Chandler Esma Ersoy Michael Park Philip A. Bondzie Nima Rahimi Huihong Xu catherine E. costello Nader Rahimi Department of Pathology School of Medicine Boston University Medical Campus Boston MA 02118 USA Department of Biochemistry and Center for Biomedical Mass Spectrometry School of Medicine Boston University Medical Campus Boston MA 02118 USA

Intrinsically disordered proteins （IDPs）/intrinsicaUy unstructured proteins are characterized by the lack of fixed or stable tertiary structure, and are increasingly recognized as an important class of proteins with major roles in signal transduction and transcriptional regulation. In this study, we report the identification and functional characterization of a previously uncharacterized protein （UPFO258/KIAA1024）, major intrinsically disordered Notch2-associated receptor 1 （MINAR1）. While MINAR1 carries a single transmembrane domain and a short cytoplasmic domain, it has a large extraceUular domain that shares no similarity with known protein sequences. Uncharacteristically, MINAR1 is a highly IDP with nearly 70% of its amino acids sequences unstructured. We demonstrate that MINAR1 physically interacts with Notch2 and its binding to Notch2 increases its stability and function. MINAR1 is widely expressed in various tissues including the epithelial cells of the breast and endothelial cells of blood vessels. MINAR1 plays a negative role in angioganesis as it inhibits angioganesis in cell culture and in mouse matrigal plug and zebraflsh anglo- genesis models. Furthermore, while MINAR1 is highly expressed in the normal human breast, its expression is significantly down- regulated in advanced human breast cancer and its re-expression in breast cancer cells inhibited tumor growth. Our study demonstrates that MINAR1 is an IDP that negatively regulates angioganesis and growth of breast cancer cells.

关键词： intrinsically disordered proteins Notch2 angiogenesis breast cancer MINAR1

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