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Geoffrey M. Henebry
Researcher at Michigan State University
Publications - 196
Citations - 7592
Geoffrey M. Henebry is an academic researcher from Michigan State University. The author has contributed to research in topics: Land cover & Normalized Difference Vegetation Index. The author has an hindex of 41, co-authored 189 publications receiving 6469 citations. Previous affiliations of Geoffrey M. Henebry include Rutgers University & University of Nebraska–Lincoln.
Papers
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Journal ArticleDOI
Climate and environmental change in arid Central Asia: impacts, vulnerability, and adaptations.
TL;DR: In this paper, the concepts of vulnerability, adaptation, and mitigation in the context of climate change in Central Asia are examined, and three major aspects of human vulnerability are explored: food security, water stress and human health.
Journal ArticleDOI
Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century.
Jeffrey T. Morisette,Andrew D. Richardson,Alan K. Knapp,Jeremy I. Fisher,Eric Graham,John T. Abatzoglou,Bruce E. Wilson,David D. Breshears,Geoffrey M. Henebry,Jonathan M. Hanes,Liang Liang +10 more
TL;DR: Phenology is the study of recurring life-cycle events, classic examples being the flowering of plants and animal migration as mentioned in this paper, which are increasingly relevant for addressing applied environmental issues.
Journal ArticleDOI
Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan
TL;DR: In this paper, the authors used the NDVI time series (1985-1988 and 1995-1999) from the Pathfinder Advanced Very High Resolution Radiometer (AVHRR) Land (PAL) dataset, which consists of 10 days maximum NDVI composites at a spatial resolution of 8 km.
Journal ArticleDOI
Remote sensing of vegetation 3-D structure for biodiversity and habitat: Review and implications for lidar and radar spaceborne missions
Kathleen M. Bergen,Scott J. Goetz,Ralph Dubayah,Geoffrey M. Henebry,Carolyn T. Hunsaker,Marc L. Imhoff,Ross Nelson,Geoffrey G. Parker,Volker C. Radeloff +8 more
TL;DR: In this article, a review of the state of the art for incorporating information on vegetation 3D structure into biodiversity and habitat science and management approaches, with emphasis on use of lidar and radar data.
Book ChapterDOI
Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology
TL;DR: In this paper, the authors surveyed 12 different spatio-temporal statistical methods to determine the start and end of the growing season using a time series of satellite images, including thresholds, derivatives, smoothing functions, and fitted models.