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Environmental Sciences
UK
2023

D-Index & Metrics

Environmental Sciences

D-Index
96
Citations
34271
World Ranking
458
National Ranking
32

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in United Kingdom Leader Award

Overview

Peter M. Atkinson is affiliated with Lancaster University in the United Kingdom. Their research spans several key areas within environmental science and engineering, with a focus on remote sensing technologies applied to Earth observation and related fields.

The scientist's recent publications include:

  • UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • Explainable artificial intelligence: an analytical review, 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • COVID-19 Outbreak Prediction with Machine Learning, 2020, Algorithms
  • Deep learning-based landslide susceptibility mapping, 2021, Scientific Reports
  • ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery, 2021, ISPRS Journal of Photogrammetry and Remote Sensing

Frequent collaborators in their research include:

  • Qunming Wang
  • Ce Zhang
  • Xiaohua Tong
  • Pedram Ghamisi
  • Yijie Tang

The scientist publishes regularly in the following venues:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing of Environment
  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation

Peter M. Atkinson's main fields of study focus on Environmental Science and Engineering. Within these areas, their work engages with subfields such as Media Technology, Global and Planetary Change, Ecology, Environmental Engineering, and Atmospheric Science.

Core topics covered in their publications include:

  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Advanced Image Fusion Techniques
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • COVID-19 epidemiological studies

Best Publications

  • Introduction Neural networks in remote sensing

    Peter M. Atkinson;A. R. L. Tatnall

  • Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy

    P. M. Atkinson;R. Massari

  • Urbanization, malaria transmission and disease burden in Africa

    Simon I. Hay;Carlos A. Guerra;Andrew J. Tatem;Peter M. Atkinson

  • Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

    V.F. Rodriguez-Galiano;M. Chica-Olmo;F. Abarca-Hernandez;Peter M. Atkinson

  • Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

    Peter M. Atkinson;C. Jeganathan;Jadu Dash;Clement Atzberger

  • Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

    Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang

  • Deep learning-based landslide susceptibility mapping

    Unknown

  • Joint deep learning for land cover and land use classification

    Ce Zhang;Isabel Sargent;Xin Pan;Huapeng Li

  • COVID-19 outbreak prediction with machine learning

    Sina F. Ardabili;Amir Mosavi;Pedram Ghamisi;Filip Ferdinand

  • Super-resolution target identification from remotely sensed images using a Hopfield neural network

    A.J. Tatem;H.G. Lewis;P.M. Atkinson;M.S. Nixon

  • An object-based convolutional neural network (OCNN) for urban land use classification

    Ce Zhang;Isabel Sargent;Xin Pan;Huapeng Li

  • Mapping sub-pixel proportional land cover with AVHRR imagery

    Peter M. Atkinson;M. E. J. Cutler;Hugh G. Lewis

  • Geostatistical classification for remote sensing: an introduction

    P. M. Atkinson;P. Lewis

  • A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification

    Ce Zhang;Xin Pan;Huapeng Li;Andy Gardiner

  • Spatio-temporal fusion for daily Sentinel-2 images

    Qunming Wang;Peter M. Atkinson;Peter M. Atkinson;Peter M. Atkinson

  • Spatial Scale Problems and Geostatistical Solutions: A Review

    Peter M. Atkinson;Nicholas J. Tate

  • Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery

    Peter M. Atkinson

  • Remote sensing of ecosystem services:a systematic review

    Caio C. de Araujo Barbosa;Peter M. Atkinson;John A. Dearing

  • Geostatistics and remote sensing

    Paul J. Curran;Peter M. Atkinson

  • ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery

    Rui Li;Shunyi Zheng;Ce Zhang;Chenxi Duan;Chenxi Duan

  • Super-resolution land cover pattern prediction using a Hopfield neural network

    Andrew J. Tatem;Hugh G. Lewis;Peter M. Atkinson;Mark S. Nixon

  • Spatial analysis for epidemiology

    A. J. Graham;Peter M. Atkinson;F. M. Danson

Frequent Co-Authors

Qunming Wang
Qunming Wang Tongji University
Jadunandan Dash
Jadunandan Dash University of Southampton
Giles M. Foody
Giles M. Foody University of Nottingham
Paul J. Curran
Paul J. Curran City, University of London
Andrew J. Tatem
Andrew J. Tatem University of Southampton
Robert W. Snow
Robert W. Snow Kenya Medical Research Institute
Simon I. Hay
Simon I. Hay University of Washington
Mark S. Nixon
Mark S. Nixon University of Southampton
Abdisalan M. Noor
Abdisalan M. Noor World Health Organization
Peter W. Gething
Peter W. Gething Telethon Kids Institute

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