About Me

My passion as a remote sensing scientist is driven by the goal of democratizing access to environmental monitoring tools. Through technological innovation and open science, I envisage an egalitarian environmental future, from the pixel to the planetary scale.

What i'm doing

  • design icon

    Geospatial Development

    Designing and deploying remote sensing algorithms and applications.

  • Web development icon

    Applied Research

    Addressing pressing environmental research topics and meeting client needs.

  • mobile app icon

    Capacity Building

    Leading technical workshops in support of national forest monitoring and reporting requirements.

  • camera icon

    Field Inventory and Analysis

    Designing and collecting field inventory data to meet project needs.

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My Work, My World

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Manuscripts (First Author)
Manuscripts (Co-Author)
Field Work
Teaching & Workshops
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Areas of Expertise

  • Geospatial Development

    Geospatial Development

    I specialize in developing innovative methodologies for large-scale monitoring of environmental change and natural resource assessments through the integration of optical, radar, and lidar remote sensing with field data, machine learning, and statistical techniques.

    Examples:



  • Land Cover and Land Use Change

    Land Cover and Land Use Change

    I have extensive experience tracking, quantifying, and evaluating the impacts of land cover and land use change acoss space and time.

    Examples:



  • Forest Carbon Accounting and Reporting

    Forest Carbon Accounting and Reporting

    The primary application of my algorithms is to map, quantify, and report carbon emissions by national greenhouse gas inventories or emissions reductions programs such as REDD+ or to meet the objectives of the Paris Agreement.

    Examples:



  • Capacity Building

    Capacity Building

    I've led numerous capacity-building workshops with the objective of aiding in the national reporting of greenhouse gas emissions.

    Examples:



  • NRT

    Conservation and Restoration

    I specialize in developing remote sensing applications aimed at enhancing natural resource management, using a range of multidisciplinary techniques to tackle complex issues in conservation and restoration of natural ecosystems.

    Examples:


    • ↪ Evaluating the impact of geomorphic and hydrological changs on species zonation patterns in a restored mangrove forest following mangrove planting.

Resume

Education

  1. Boston University

    2015 — 2019

    Doctor of Philosophy in Geography

  2. Boston University

    2013 — 2014

    Master of Arts in Remote Sensing and GIS for the Environment

  3. University of Colorado

    2008 — 2011

    Bachelor of Arts in Sociology and Environmental Studies

Experience

  1. Research Geographer, US Forest Service

    10/2020 — Present

    • Develops remote sensing techniques to support forest resource assessments conducted by the Forest Inventory and Analysis (FIA) Program.

    • Leads capacity building workshops on monitoring forest disturbances and measuring carbon emissions for international REDD+ programs.

    • Designs applications that use radar, lidar, and optical remote sensing to estimate forest biomass, map forest disturbances, and monitor land cover change.

    • Disseminates research findings through conference presentations, technical reports, academic publications, technical workshops, and tutorials.

    •  Serves as a Subject Matter Expert in an FIA working group aimed at mitigating non-response bias caused by unmeasured field plots.

  2. Postdoctoral Researcher, Boston University

    09/2019 — 07/2020

    • Co-developed the Google Earth Engine utilities, interactive applications, and end-to-end processing workflow for global land cover mapping using a Landsat time series algorithm.

    • Co-developed a Python application for land cover classification training data collection.

    • Designed and maintained a database of training data used by over 25 data collectors.

    • Led and participated in multiple training workshops on land cover classification and forest degradation monitoring

  3. Doctoral Researcher, Boston University

    08/2015 — 09/2019

    • Trained and supervised a team of 12 researchers to study carbon dynamics in the Amazon.

    • Designed and implemented the the Continuous Degradation Detection (CODED) algorithm for mapping forest degradation on Google Earth Engine.

    • Developed a 27-year forest change dataset in the Amazon using Landsat and Google Earth Engine.

    • Led a field team measuring biomass at field plots in mangrove forests in Pohnpei, Micronesia.

    • Published 6 lead author papers on the development and application of remote sensing algorithms for monitoring environmental change.

My skills

    Programming

  • Python
    90%
  • R
    80%
  • Javascript
    70%
  • HTML/CSS
    30%

    • Satellite Data Processing

  • Multispectral
    90%
  • Radar
    40%
  • Lidar
    40%

    • Tools

  • Google Earth Engine
    100%
  • QGIS
    85%

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Resume
Curriculum Vitae

Publications

2023

  1. Bullock, E., Healey, S. P., Zhiqiang, Y., Acosta, R., Villalba, H., Insfrán, K. P., Melo, J. B., Wilson, S., Duncanson, L., Næsset, E., Armston, J. D., Saarela, S., Ståhl, G., Patterson, P. L. & Dubayah, R. O. (2023). Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory. Environmental Research Letters. doi: 10.1088/1748-9326/acdf03

  2. Gorelick, N., Yang, Z., Arévalo, P., Bullock, E., Insfrán, K. P. & Healey, S. P. (2023). A global time series dataset to facilitate forest greenhouse gas reporting. Environmental Research Letters. doi:10.1088/1748-9326/ace2da

  3. Tang, X., Bratley, K., Cho, K., Bullock, E., Olofsson, P. & Woodcock, C. (2023). Near real-time monitoring of tropical forest disturbance by fusion of Landsat, Sentinel-2, and Sentinel-1 data. Remote Sensing of Environment, 294, 113626. doi: 10.1016/j.rse.2019.02.003

2022

  1. Bullock, E., Healey, S. P., Yang, Z., Houborg, R., Gorelick, N., Tang, X. & Andrianirina, C. (2022). Timeliness in Forest Change Monitoring: A New Assessment Framework Demonstrated using Sentinel-1 and a Continuous Change Detection Algorithm. Remote Sensing of Environment, 276, 113043. doi: 10.1016/j.rse.2022.113043

  2. Friedl, M. A., Woodcock, C., Olofsson, P., Zhu, Z., Loveland, T., Stanimirova, R., Arevalo, P., Bullock, E., Hu, K.-T. & Zhang, Y. (2022). Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat. Frontiers in Remote Sensing, 3, 894571. doi: 10.3389/frsen.2022.894571

  3. Pasquarella, V., Arévalo, P., Bratley, K., Bullock, E., Gorelick, N., Yang, Z. & Kennedy, R. (2022). Demystifying LandTrendr and CCDC temporal segmentation. International Journal of Applied Earth Observation and Geoinformation, 110, 102806. doi: 10.1016/j.jag.2022.102806

  4. Woltz, V. L., Peneva-Reed, E., Zhu, Z., Bullock, E., MacKenzie, R. A., Apwong, M., Krauss, K. W. & Gesch, D. (2022). A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia. PloS One, 17(7), e0271589. doi: 10.1371/journal.pone.0271589

  5. Zhang, Y., Woodcock, C., Arévalo, P., Olofsson, P., Tang, X., Stanimirova, R., Bullock, E., Tarrio, K., Zhu, Z. & Friedl, M. (2022). A Global Analysis of the Spatial and Temporal Variability of Usable Landsat Observations at the Pixel Scale. Remote Sensing, Section on Remote Sensing Time Series Analysis, 3, 894618. doi: 10.3389/frsen.2022.894618

2021

  1. Aryal, R. R., Wespestad, C., Kennedy, R., Dilger, J., Dyson, K., Bullock, E., Khanal, N., Kono, M., Poortinga, A., Saah, D. & Tenni. (2021). Lessons Learned While Implementing a Time-Series Approach to Forest Canopy Disturbance Detection in Nepal. Remote Sensing, 13(14), 2666. doi: 10.3390/rs13142666

  2. Bullock, E., Healey, S., Yang, Z., Oduor, P., Gorelick, N., Omondi, S., Ouko, E. & Cohen, W. (2021). Three decades of land cover change in East Africa. Land, 10(2), 150. doi: 10.3390/land10020150

  3. Bullock, E. & Woodcock, C. (2021). Carbon loss and removal due to forest disturbance and regeneration in the Amazon. Science of The Total Environment, 764, 142839. doi: 10.1016/j.scitotenv.2020.142839

  4. Chen, S., Woodcock, C., Bullock, E., Arévalo, P., Torchinava, P., Peng, S. & Olofsson, P. (2021). Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis. Remote Sensing of Environment, 265, 112648. doi: 10.1016/j.rse.2021.112648

  5. Peneva-Reed, E., Krauss, K., Bullock, E., Zhu, Z., Woltz, V., Drexler, J., Conrad, J. & Stehman, S. (2021). Carbon stock losses and recovery observed for a mangrove ecosystem following a major hurricane in Southwest Florida. Estuarine, Coastal and Shelf Science, 248, 106750. doi: 10.1016/j.ecss.2020.106750

2020

  1. Arévalo, P., Bullock, E., Woodcock, C. & Olofsson, P. (2020). A suite of tools for continuous land change monitoring in Google Earth Engine. Frontiers in Climate, 2, 576740. doi: 10.3389/fclim.2020.576740

  2. Bullock, E., Nolte, C., Segovia, A. R. & Woodcock, C. (2020). Ongoing forest disturbance in Guatemala’s protected areas. Remote Sensing in Ecology and Conservation, 6(2), 141–152. doi: 10.1002/rse2.130

  3. Bullock, E., Woodcock, C. & Holden, C. (2020). Improved change monitoring using an ensemble of time series algorithms. Remote Sensing of Environment, 238, 111165. doi: 10.1016/j.rse.2019.04.018

  4. Bullock, E., Woodcock, C. & Olofsson, P. (2020). Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis. Remote Sensing of Environment, 238, 110968. doi: 10.1016/j.rse.2018.11.011

  5. Bullock, E., Woodcock, C., Souza, C. M. & Olofsson, P. (2020). Satellite-based estimates reveal widespread forest degradation in the Amazon. Global Change Biology, 26(5), 2956–2969. doi: 10.1111/gcb.15029

  6. Tang, X., Bullock, E., Olofsson, P. & Woodcock, C. (2020). Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance? Remote Sensing of Environment, 249, 112024. doi: 10.1016/j.rse.2020.112024

Before 2020

  1. Pickett, B., Irvine, I. C., Bullock, E., Arogyaswamy, K. & Aronson, E. (2019). Legacy effects of invasive grass impact soil microbes and native shrub growth. Invasive Plant Science and Management, 12(1), 22–35. doi:10.1017/inp.2018.32

  2. Tang, X., Bullock, E., Olofsson, P., Estel, S. & Woodcock, C. (2019). Near real-time monitoring of tropical forest disturbance: New algorithms and assessment framework. Remote Sensing of Environment, 224, 202–218. doi:10.1016/j.rse.2019.02.003

  3. Bullock, E., Fagherazzi, S., Nardin, W., Vo-Luong, P., Nguyen, P. & Woodcock, C. (2017). Temporal patterns in species zonation in a mangrove forest in the Mekong Delta, Vietnam, using a time series of Landsat imagery. Continental Shelf Research, 148, 144–154. doi:10.1016/j.csr.2017.07.007

  4. Olofsson, P., Holden, C., Bullock, E. & Woodcock, C. (2016). Time series analysis of satellite data reveals continuous deforestation of New England since the 1980s. Environmental Research Letters, 11(6), 064002. doi:10.1088/1748-9326/11/6/064002

  5. Bullock, E. (2016). A two-stage stratified sampling design for Ministerio del Ambiente (MINAM) land cover change map asssessment in Peru. Boston, MA: GFA Consulting Group.