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Peter Hobbs

Peter Hobbs

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Cornell University · Horticulture

Active 1970–2021

h-index39
Citations7.5k
Papers1895 last 5y
Funding
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About

Peter Hobbs is an adjunct professor in the School of Integrative Plant Science, Soil and Crop Sciences Section at Cornell University. He is a crop scientist and agronomist with 30 years of experience working with IRRI and CIMMYT, two CGIAR centers, primarily focusing on rice and wheat systems and conservation agriculture in South Asia. He teaches courses on international agriculture systems, agroforestry, and GMOs, and serves as the Associate Director for IP-CALS for academic and professional studies since August 2010. His research interests include international agriculture, tropical cropping systems, and agroforestry. Hobbs has been involved in various projects, including collaborations with Afghan universities on curriculum development, working with NGOs on agroforestry issues in Afghanistan, and participating in USAID-funded projects in Kenya and Zambia on conservation agriculture. His contributions extend to policy and institutional development for conservation agriculture, and he has authored numerous publications on sustainable farming practices, climate change mitigation, and resource-conserving technologies.

Research topics

  • Remote sensing
  • Computer Science
  • Geology
  • Artificial Intelligence
  • Seismology
  • Agricultural economics
  • Geography
  • Agroforestry
  • Systems engineering
  • Aeronautics
  • Business
  • Natural resource economics
  • Engineering
  • Environmental science
  • Economics
  • Agricultural science

Selected publications

  • The Application of Terrestrial LiDAR for Geohazard Mapping, Monitoring and Modelling in the British Geological Survey

    Remote Sensing · 2021 · 44 citations

    Senior authorCorresponding
    • Remote sensing
    • Geology
    • Seismology

    Geomatics is the discipline of electronically gathering, storing, processing, and delivering spatially related digital information; it continues to be one of the fastest expanding global markets, driven by technology. The British Geological Survey (BGS) geomatics capabilities have been utilized in a variety of scientific studies such as the monitoring of actively growing volcanic lava domes and rapidly retreating glaciers; coastal erosion and platform evolution; inland and coastal landslide modelling; mapping of geological structures and fault boundaries; rock stability and subsidence feature analysis, and geo-conservation. In 2000, the BGS became the first organization outside the mining industry to use Terrestrial LiDAR Scanning (TLS) as a tool for measuring change; paired with a Global Navigation Satellite System (GNSS), BGS were able to measure, monitor, and model geomorphological features of landslides in the United Kingdom (UK) digitally. Many technologies are used by the BGS to monitor the earth, employed on satellites, airplanes, drones, and ground-based equipment, in both research and commercial settings to carry out mapping, monitoring, and modelling of earth surfaces and processes. Outside BGS, these technologies are used for close-range, high-accuracy applications such as bridge and dam monitoring, crime and accident scene analysis, forest canopy and biomass measurements and military applications.

  • ODP Leg 144, Hole 879A - Well Logging Data

    Zenodo (CERN European Organization for Nuclear Research) · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 871C - Well Logging Data

    2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 874B - Well Logging Data

    Zenodo (CERN European Organization for Nuclear Research) · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 801C - Well Logging Data

    Zenodo (CERN European Organization for Nuclear Research) · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 873A - Well Logging Data

    Zenodo (CERN European Organization for Nuclear Research) · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 874B - Well Logging Data

    Figshare · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 878A - Well Logging Data

    Zenodo (CERN European Organization for Nuclear Research) · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 871C - Well Logging Data

    Zenodo (CERN European Organization for Nuclear Research) · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

  • ODP Leg 144, Hole 801C - Well Logging Data

    Zenodo (CERN European Organization for Nuclear Research) · 2020-07-13

    datasetOpen access

    Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

Frequent coauthors

  • Lee Jones

    17 shared
  • Catherine Pennington

    British Geological Survey

    17 shared
  • Frank R. Rack

    16 shared
  • Horst W. Bohrmann

    15 shared
  • Elisabetta Erba

    University of Milan

    15 shared
  • J. Fenner

    14 shared
  • Paul N. Pearson

    University College London

    14 shared
  • David K. Watkins

    University of Nebraska–Lincoln

    14 shared

Education

  • M.Sc., D.I.C., Engineering Geology

    Imperial College London

    1977
  • B.Sc. (CNAA), Civil Engineering

    Middlesex University

    1974

Awards & honors

  • Eight grants focus on innovation in China (2019)
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