World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8850
World Ranking
12394
National Ranking
5022

Overview

Sucharita Gopal is affiliated with Boston University in the United States. Their research primarily spans the fields of Environmental Science and Social Sciences, with a particular emphasis on subfields such as Global and Planetary Change, Ecology, Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, and Building and Construction.

The scientist has contributed to multiple research topics, including:

  • Coastal and Marine Management
  • Energy, Environment, and Transportation Policies
  • Energy and Environment Impacts
  • Land Use and Ecosystem Services
  • Conservation, Biodiversity, and Resource Management
  • Health disparities and outcomes
  • FinTech, Crowdfunding, Digital Finance

Sucharita Gopal's recent published papers include:

  • Feedbacks among electric vehicle adoption, charging, and the cost and installation of rooftop solar photovoltaics, 2021, Nature Energy
  • Seeing the invisible: From imagined to virtual urban landscapes, 2020, Cities
  • Analysis of Land Use and Land Cover Changes through the Lens of SDGs in Semarang, Indonesia, 2022, Sustainability
  • Leveraging Big Data and Analytics to Improve Food, Energy, and Water System Sustainability, 2020, Frontiers in Big Data
  • The Deforestation and Biodiversity Risks of Power Plant Projects in Southeast Asia: A Big Data Spatial Analytical Framework, 2023, Sustainability

Their frequent coauthors include:

  • J.P. Pitts
  • Les Kaufman
  • Magaly Koch
  • Yaxiong Ma
  • Joshua Pitts

The main venues where Sucharita Gopal publishes work are:

  • Sustainability
  • Nature Energy
  • Cities
  • Frontiers in Big Data
  • Rehabilitation Research Policy and Education

In addition to journal articles, Sucharita Gopal has authored books published by Springer International Publishing. Notably, they contributed to "The FinTech Revolution" published in 2024.

Best Publications

  • Global land cover mapping from MODIS: algorithms and early results

    M.A Friedl;D.K McIver;J.C.F Hodges;X.Y Zhang

  • Theory and methods for accuracy assessment of thematic maps using fuzzy sets

    S. Gopal;C. Woodcock

  • The accuracy of spatial databases

    Michael F. Goodchild;Sucharita Gopal

  • Remote sensing of forest change using artificial neural networks

    S. Gopal;C. Woodcock

  • ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data

    G.A. Carpenter;M.N. Gjaja;S. Gopal;C.E. Woodcock

  • Fuzzy set theory and thematic maps: accuracy assessment and area estimation

    Curtis E. Woodcock;Sucharita Gopal

  • Mapping forest vegetation using landsat TM imagery and a canopy reflectance model

    Curtis E. Woodcock;John B. Collins;Sucharita Gopal;Vida D. Jakabhazy

  • ARTIFICIAL NEURAL NETWORKS: A NEW APPROACH TO MODELING INTERREGIONAL TELECOMMUNICATION FLOWS*

    Manfred M. Fischer;Sucharita Gopal

  • Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America.

    D. Muchoney;J. Borak;H. Chi;M. Friedl

  • A Neural Network Method for Efficient Vegetation Mapping

    Gail A. Carpenter;Sucharita Gopal;Scott Macomber;Siegfried Martens

  • Forest mapping with a generalized classifier and Landsat TM data

    Mary Pax-Lenney;Curtis E Woodcock;Scott A Macomber;Sucharita Gopal

  • Spatial analysis of malaria incidence at the village level in areas with unstable transmission in Ethiopia

    Asnakew K Yeshiwondim;Sucharita Gopal;Afework T Hailemariam;Dereje O Dengela

  • Fuzzy Neural Network Classification of Global Land Cover from a 1° AVHRR Data Set

    Sucharita Gopal;Curtis E. Woodcock;Alan H. Strahler

  • Gaussian mixture discriminant analysis and sub-pixel land cover characterization in remote sensing

    Junchang Ju;Eric D Kolaczyk;Sucharita Gopal

  • A Neural Network Method for Mixture Estimation for Vegetation Mapping

    Gail A. Carpenter;Sucharita Gopal;Scott Macomber;Siegfried Martens

  • Spatial Interpolation of Surface Air Temperatures Using Artificial Neural Networks: Evaluating Their Use for Downscaling GCMs

    Seth E. Snell;Sucharita Gopal;Robert K. Kaufmann

  • Navigator: A psychologically based model of environmental learning through navigation

    Sucharita Gopal;Roberta L. Klatzky;Terence R. Smith

  • On the choice of spatial and categorical scale in remote sensing land cover classification

    Junchang Ju;Sucharita Gopal;Eric D. Kolaczyk

  • A note on procedures used for accuracy assessment in land cover maps derived from AVHRR data

    M. A. Friedl;C. Woodcock;S. Gopal;D. Muchoney

  • Change Detection Using Adaptive Fuzzy Neural Networks

    A.A. Abuelgasim;W.D. Ross;S. Gopal;C.E. Woodcock

  • Uncertainty and Confidence in Land Cover Classification Using a Hybrid Classifier Approach

    Weiguo Liu;Sucharita Gopal;Curtis E. Woodcock

Frequent Co-Authors

Curtis E. Woodcock
Curtis E. Woodcock Boston University
Manfred M. Fischer
Manfred M. Fischer Vienna University of Economics and Business
Alan H. Strahler
Alan H. Strahler Boston University
Robert K. Kaufmann
Robert K. Kaufmann Boston University
Gail A. Carpenter
Gail A. Carpenter Boston University
Eric D. Kolaczyk
Eric D. Kolaczyk McGill University
Mark A. Friedl
Mark A. Friedl Boston University
Michael F. Goodchild
Michael F. Goodchild University of California, Santa Barbara
Terence R. Smith
Terence R. Smith University of California, Santa Barbara
Nathan Phillips
Nathan Phillips Boston University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a variety of online degrees and career pathways. For those interested in expanding their expertise, consider exploring the online theoretical physics degree, which combines analytical thinking with advanced technical skills.

Another popular direction is data science. The data science learning path can lead to roles in big data analysis, artificial intelligence, and predictive modeling—all highly sought after within the tech industry.

Aspiring engineers can benefit from information about electrical engineering online tuition costs, helping you make informed decisions about balancing educational investment with career potential.

If you’re looking for specialized skills with a faster return on investment, there are plenty of easy certifications to get which can boost your employability without the need for an extensive degree.

Exploring these related online degrees and certifications can help shape a flexible and rewarding career in the broader field of computer science.

Best Scientists Citing Sucharita Gopal

Trending Scientists

Recently Published Articles