Katharine M Johnson

Works (5)

Updated: April 5th, 2024 13:44

2022 journal article

Extreme Precipitation Trends and Meteorological Causes Over the Laurentian Great Lakes

FRONTIERS IN WATER, 4.

By: K. Kunkel n, X. Yin*, L. Sun n, S. Champion n, L. Stevens n & K. Johnson n

author keywords: Great Lakes (North America); extreme precipitation; weather fronts; meteorology; trends
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Source: Web Of Science
Added: June 13, 2022

2021 journal article

Estimating Historically Cleared and Forested Land in Massachusetts, USA, Using Airborne LiDAR and Archival Records

REMOTE SENSING, 13(21).

By: K. Johnson n, W. Ouimet *, S. Dow * & C. Haverfield*

author keywords: airborne LiDAR; historical land use; archival data
TL;DR: It is demonstrated that features representative of historical deforestation identified in LiDAR data can be reliably used as a proxy to estimate the spatial extents and area of cleared and forested land in Massachusetts and elsewhere in the northeastern United States. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Source: Web Of Science
Added: November 23, 2021

2021 article

High-resolution airborne Light Detection and Ranging data, ethics and archaeology: Considerations from the northeastern United States

Johnson, K. M., Ives, T. H., Ouimet, W. B., & Sportman, S. P. (2021, July). ARCHAEOLOGICAL PROSPECTION, Vol. 28, pp. 293–303.

By: K. Johnson n, T. Ives*, W. Ouimet * & S. Sportman*

author keywords: cultural heritage; cultural resource management; data ethics; Light Detection and Ranging
Source: Web Of Science
Added: September 13, 2021

2021 journal article

Mapping Relict Charcoal Hearths in New England Using Deep Convolutional Neural Networks and LiDAR Data

REMOTE SENSING, 13(22).

By: J. Suh *, E. Anderson*, W. Ouimet *, K. Johnson n & C. Witharana *

author keywords: remote sensing; relict charcoal hearths; deep convolutional neural networks; semantic segmentation; anthropogenic feature detection
TL;DR: This study applies fully-automated deep convolutional neural networks (i.e., U-Net) with LiDAR derivatives to identify relict charcoal hearths (RCHs), a type of historical land use feature in New England. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Source: Web Of Science
Added: December 13, 2021

2021 journal article

Reconstructing Historical Forest Cover and Land Use Dynamics in the Northeastern United States Using Geospatial Analysis and Airborne LiDAR

ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 111(6), 1656–1678.

By: K. Johnson n & W. Ouimet *

author keywords: airborne LiDAR; Anthropocene; historical land use; human– land use dynamics
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Source: Web Of Science
Added: April 12, 2021

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