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Christopher Neigh

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Research Physical Scientist

NASA Goddard Space Flight Center

United States

Research Interests

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Recent Grants

Grant: Close

Commercial Satellite Data Analysis Characterizing Canopy Chlorophyll and Photosynthetic Productivity for Agricultural Crops and Forest Monitoring

Open Date: 2023-11-01

Close Date: 2025-10-31

Grant: Close

Mapping boreal forest biomass recovery rates across gradients of vegetation structure and environmental change.

Open Date: 2022-10-01

Close Date: 2025-09-30

Grant: Close

Towards a Warmer, Less Frozen Future Arctic: Synthesis of Drivers, Ecosystem Responses, and Elder Observations along Bioclimatic Gradients in Western Alaska

Open Date: 2022-10-01

Close Date: 2025-09-30

Grant: Close

Advanced information systems to fill STV gaps: next-generation stereo+lidar fusion and sensor technology

Open Date: 2022-05-22

Close Date: 2025-07-31

Grant: Close

The Impact of Investment on Irrigated Rice, Dryland Agriculture and Afforestation in Senegal using SAR and Optical Time- Series Imagery in Data Fusion Approaches

Open Date: 2021-01-01

Close Date: 2024-12-31

Articles (20)

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Collaborators (9)

Efrén López-Blanco

VIP, Associate Professor

Aarhus University

DENMARK

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Tiangang Yin

Assistant Professor

The Hong Kong Polytechnic University

HONG KONG

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Molly Brown

Research Professor

University of Maryland

UNITED STATES

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Andreas Züfle

Associate Professor

Emory University

UNITED STATES

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Mark Lara

Associate Professor

University of Illinois at Urbana-Champaign

UNITED STATES

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Shi Qiu

University of Connecticut

UNITED STATES

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Bruce Forbes

University of Lapland

FINLAND

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Hankui Zhang

Assistant Professor

South Dakota State University

UNITED STATES

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David Shean

University of Washington

UNITED STATES

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Christopher Neigh

Research Interests

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Recent Grants

Articles (20)

Physiological fidelity of a satellite-derived forest resilience indicator in the Amazon

Evaluation of Deep Learning Approaches for Classifying Regional Croplands With Satellite Image Time Series in Senegal

Landsat Instrument Suite (LandIS) sensor design for the Landsat 10 mission

Physics-informed machine learning for cloud detection

Alaska’s boreal-tundra resolved with vegetation height from commercial imagery and a foundation model

The Arctic

Global and boreal estimates of woody aboveground biomass for 2020: Filling GEDI's northern data gap with ICESat-2 and Harmonized Landsat Sentinel-2

Northward shift of boreal tree cover confirmed by satellite record

Global uncertainty assessment of vegetation indices from NASA's Harmonized Landsat and Sentinel-2 Project

Landsat Program

Optical imagery and digital spaces in the era of machine learning for better geospatial information and services

Validation of the Harmonized Landsat and Sentinel-2 (HLS) Version 2.0 Surface Reflectance Product Using RadCalNet

The changing face of the Arctic: four decades of greening and implications for tundra ecosystems

Refining satellite laser altimetry geolocation through full-waveform radiative transfer modeling and matching

Advances in Spaceborne LiDAR and Stereo Photogrammetry Modeling for Improved Digital Surface Model Generation

TIF: A time-series-based image fusion algorithm

The Harmonized Landsat and Sentinel-2 version 2.0 surface reflectance dataset

Russian forests show strong potential for young forest growth

Toward Seamless Global 30-m Terrestrial Monitoring: Evaluating 2022 Cloud Free Coverage of Harmonized Landsat and Sentinel-2 (HLS) V2.0

Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation

Collaborators (9)

Efrén López-Blanco

Tiangang Yin

Molly Brown

Andreas Züfle

Mark Lara

Shi Qiu

Bruce Forbes

Hankui Zhang

David Shean

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