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D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
14345
World Ranking
5134
National Ranking
1886

Overview

Nicholas Clinton is affiliated with Google in the United States and conducts research primarily in the field of Environmental Science. Their work spans several subfields including Global and Planetary Change, Health, Toxicology and Mutagenesis, Ecology, Environmental Engineering, and Atmospheric Science.

Their research interests cover a range of topics such as Remote Sensing in Agriculture, Land Use and Ecosystem Services, Health disparities and outcomes, Urban Heat Island Mitigation, Air Quality and Health Impacts, Health, Environment and Cognitive Aging, and Urban Green Space and Health.

Clinton has contributed to several recent publications, including:

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data, 2020, Environmental Research Letters
  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015, 2020, Earth System Science Data
  • Globally consistent assessment of coastal eutrophication, 2021, Nature Communications
  • Developing a method to estimate building height from Sentinel-1 data, 2020, Remote Sensing of Environment
  • Forest disturbance alerts for the Congo Basin using Sentinel-1, 2021, Environmental Research Letters

Frequent co-authors collaborating with Clinton include Tobias Banaschewski, Nathalie Holz, Frauke Nees, Vince D. Calhoun, and Emin Serin. These academic partnerships have supported a variety of studies across environmental and health-related topics.

The scientist's work has appeared repeatedly in several key publication venues, such as:

  • Nature Mental Health
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Environmental Research Letters
  • Remote Sensing of Environment

Best Publications

  • Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

    Peng Gong;Jie Wang;Le Yu;Yongchao Zhao

  • Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017

    Peng Gong;Han Liu;Meinan Zhang;Congcong Li

  • Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery

    Qian Yu;Peng Gong;Nick Clinton;Greg Biging

  • The global distribution and trajectory of tidal flats

    Nicholas J. Murray;Nicholas J. Murray;Stuart R. Phinn;Michael F DeWitt;Renata Ferrari

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data

    Xuecao Li;Peng Gong;Yuyu Zhou;Jie Wang;Jie Wang

  • Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018

    Peng Gong;Bin Chen;Xuecao Li;Han Liu

  • MODIS detected surface urban heat islands and sinks: Global locations and controls

    Nicholas Clinton;Peng Gong;Peng Gong

  • Accuracy Assessment Measures for Object-based Image Segmentation Goodness

    Nicholas Clinton;Ashley Holt;James Scarborough;Li Yan

  • Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine

    Huabing Huang;Yanlei Chen;Nicholas Clinton;Jie Wang

  • A mangrove forest map of China in 2015: analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform.

    Bangqian Chen;Bangqian Chen;Xiangming Xiao;Xiangming Xiao;Xiangping Li;Lianghao Pan;Lianghao Pan

  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015

    Han Liu;Peng Gong;Jie Wang;Jie Wang;Nicholas Clinton

  • Prehistoric fire area and emissions from California's forests, woodlands, shrublands, and grasslands

    Scott L. Stephens;Robert E. Martin;Nicholas E. Clinton

  • Rainforest-initiated wet season onset over the southern Amazon.

    Jonathon S. Wright;Rong Fu;John R. Worden;Sudip Chakraborty

  • A Global Geospatial Ecosystem Services Estimate of Urban Agriculture

    Nicholas Clinton;Nicholas Clinton;Michelle Stuhlmacher;Albie Miles;Albie Miles;Nazli Uludere Aragon

  • Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover

    Ran Goldblatt;Michelle F. Stuhlmacher;Beth Tellman;Nicholas Clinton

  • Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods

    Iryna Dronova;Peng Gong;Peng Gong;Peng Gong;Nicholas E. Clinton;Lin Wang;Lin Wang

  • Globally consistent assessment of coastal eutrophication.

    Elígio de Raús Maúre;Genki Terauchi;Joji Ishizaka;Nicholas Clinton

  • The first all-season sample set for mapping global land cover with Landsat-8 data

    Congcong Li;Congcong Li;Peng Gong;Jie Wang;Zhiliang Zhu

  • Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping

    Weijia Li;Haohuan Fu;Le Yu;Peng Gong

  • Developing a method to estimate building height from Sentinel-1 data

    Xuecao Li;Yuyu Zhou;Peng Gong;Karen C. Seto

  • FROM-GC: 30 m global cropland extent derived through multisource data integration

    Le Yu;Jie Wang;Nicholas Clinton;Qinchuan Xin

  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015, link to GeoTIFF files

    Han Liu;Peng Gong;Jie Wang;Nicholas Clinton

Frequent Co-Authors

Peng Gong
Peng Gong University of Hong Kong
Le Yu
Le Yu Tsinghua University
Zhiliang Zhu
Zhiliang Zhu United States Geological Survey
Xuecao Li
Xuecao Li China Agricultural University
Steven W. Running
Steven W. Running University of Montana
Bing Xu
Bing Xu Tsinghua University
Marco P. Maneta
Marco P. Maneta University of Montana
John S. Kimball
John S. Kimball University of Montana
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Peter Potapov
Peter Potapov University of Maryland, College Park

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