S
Suming Jin
Researcher at United States Geological Survey
Publications - 19
Citations - 6785
Suming Jin is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Land cover & Normalized Difference Vegetation Index. The author has an hindex of 12, co-authored 16 publications receiving 5832 citations.
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Journal ArticleDOI
Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information
Collin G. Homer,Jon Dewitz,Limin Yang,Suming Jin,Patrick Danielson,George Xian,John W. Coulston,Nathaniel D. Herold,James D. Wickham,Kevin Megown +9 more
Journal Article
Completion of the 2006 National Land Cover Database for the conterminous United States.
Joyce Fry,George Xian,Suming Jin,Jon Dewitz,Collin G. Homer,Limin Yang,Christopher Barnes,Nathaniel D. Herold,James D. Wickham +8 more
Journal ArticleDOI
A comprehensive change detection method for updating the National Land Cover Database to circa 2011
TL;DR: In this paper, the authors present a new comprehensive change detection method (CCDM) designed as a key component for the development of NLCD 2011 and the research results from two exemplar studies, which integrates spectral-based change detection algorithms including a Multi-Index Integrated Change Analysis (MIICA) model and a novel change model called Zone, which extracts change information from two Landsat image pairs.
Journal ArticleDOI
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
Limin Yang,Suming Jin,Patrick Danielson,Collin G. Homer,Leila Gass,Stacie Bender,Adam Case,Catherine Costello,Jon Dewitz,Joyce Fry,Michelle Funk,Brian Granneman,Greg C. Liknes,Matthew B. Rigge,George Xian +14 more
TL;DR: The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2-year intervals.
Journal ArticleDOI
A simple and effective method for filling gaps in Landsat ETM+ SLC-off images
TL;DR: A simple and effective method to interpolate the values of the pixels within the gaps, known as the Neighborhood Similar Pixel Interpolator (NSPI), which indicates that gap-filled products generated by NSPI will have relevance to the user community for various land cover applications.