Sherrie Wang

Sherrie Wang

Stanford University

H-index: 13

North America-United States

About Sherrie Wang

Sherrie Wang, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Stanford University, specializes in the field of machine learning, remote sensing, agriculture, sustainability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates

Meta-learning to address diverse Earth observation problems across resolutions

Mapping sugarcane globally at 10 m resolution using GEDI and Sentinel-2

Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data

Agricultural Environments

Annual field-scale maps of tall and short crops at the global scale using gedi and sentinel-2

Meteor: Meta-learning connecting earth problems observed from space

Segment Any Stream: Scalable Water Extent Detection with the Segment Anything Model

Sherrie Wang Information

University

Position

PhD Student

Citations(all)

1201

Citations(since 2020)

1175

Cited By

236

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Sherrie Wang Skills & Research Interests

machine learning

remote sensing

agriculture

sustainability

Top articles of Sherrie Wang

Title

Journal

Author(s)

Publication Date

Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates

Science

Simon Greenhill

Hannah Druckenmiller

Sherrie Wang

David A Keiser

Manuela Girotto

...

2024/1/26

Meta-learning to address diverse Earth observation problems across resolutions

Communications Earth & Environment

Marc Rußwurm

Sherrie Wang

Benjamin Kellenberger

Ribana Roscher

Devis Tuia

2024/1/12

Mapping sugarcane globally at 10 m resolution using GEDI and Sentinel-2

Earth System Science Data Discussions

Stefania Di Tommaso

Sherrie Wang

Rob Strey

David B Lobell

2024/4/15

Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data

arXiv preprint arXiv:2401.17600

Chenhui Zhang

Sherrie Wang

2024/1/31

Agricultural Environments

Sherrie Wang

George Azzari

2023/10/2

Annual field-scale maps of tall and short crops at the global scale using gedi and sentinel-2

Remote Sensing

Stefania Di Tommaso

Sherrie Wang

Vivek Vajipey

Noel Gorelick

Rob Strey

...

2023/8/22

Meteor: Meta-learning connecting earth problems observed from space

Marc Conrad Russwurm

Ribana Roscher

Benjamin Alexander Kellenberger

Sherrie Wang

Devis Tuia

2023/6/1

Segment Any Stream: Scalable Water Extent Detection with the Segment Anything Model

Haozhen Zheng

Chenhui Zhang

Kaiyu Guan

Yawen Deng

Sherrie Wang

...

2023/12/15

Smoke and Yields: the impact of wildfires on crop yields in the US midwest

Arnold P Behrer

Sherrie Wang

2023

Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions

arXiv preprint arXiv:2312.08384

Philippe Rufin

Sherrie Wang

Sá Nogueira Lisboa

Jan Hemmerling

Mirela G Tulbure

...

2023/12/12

Field-Scale Rice Area and Yield Mapping in Sri Lanka with Optical Remote Sensing and Limited Training Data

Available at SSRN 4674759

Mutlu Ozdogan

Sherrie Wang

Devaki Ghose

Eduardo Pinheiro Fraga

Ana M Fernandes

...

2023/12

Mapping Sugarcane in Central India with Smartphone Crowdsourcing

Remote Sensing

Ju Young Lee

Sherrie Wang

Anjuli Jain Figueroa

Rob Strey

David B Lobell

...

2022/2/2

Global mapping of tall crops in regions without field labels using GEDI and Sentinel-2

AGU Fall Meeting Abstracts

Sherrie Wang

Stefania Di Tommaso

Vivek Vajipey

David B Lobell

2022/12

Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision

Remote Sensing

Sherrie Wang

François Waldner

David B Lobell

2022/11/13

Daily Local-Level Estimates of Ambient Wildfire Smoke PM2.5 for the Contiguous US

Environmental Science & Technology

Marissa L Childs

Jessica Li

Jeffrey Wen

Sam Heft-Neal

Anne Driscoll

...

2022/9/22

Humans are poor few-shot classifiers for Sentinel-2 land cover

Marc Rußwurm

Sherrie Wang

Devis Tuia

2022/7/17

Measuring CO2 emissions using deep learning and remote sensing

AGU Fall Meeting Abstracts

Hikari Murayama

Sherrie Wang

Solomon M Hsiang

2022/12

Current Benefits of Wildfire Smoke for Yields in the US Midwest May Dissipate by 2050

Arnold Patrick Behrer

Sherrie Wang

2022/3/3

Large-scale agricultural field delineation in India using deep learning and weak supervision

AGU Fall Meeting Abstracts

Sherrie Wang

David B Lobell

2022/12

Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions

Remote Sensing of Environment

Dan M Kluger

Sherrie Wang

David B Lobell

2021/9/1

See List of Professors in Sherrie Wang University(Stanford University)

Co-Authors

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