Katherine Peck
Biographic Data
| ID | 6915377 |
|---|---|
| NAME | Katherine Peck |
| GIVEN NAMES | Katherine |
| FAMILY NAME | Peck |
| SIGNATURE | PECK K |
| AFFILIATIONS | New Mexico Consortium |
| ORCID | 0009-0008-4068-2591 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Soil Nutrients and Agricultural Infrastructure in the South Kohala Field System, South Kohala, Hawaiʻi
The leeward uplands of Kohala, Hawaiʻi Island, contain a dense network of ancient agricultural fields that were intensively cultivated by Native Hawaiians for centuries. Previous archaeological research in the region has focused on the Leeward Kohala Field System, where most agricultural infrastructure is found at or above the hypothesized minimum rainfall threshold (750 mm/year) required for intensively cultivating sweet potato. The South Kohala…
Using Simulated Training Data to Locate Archaeological Sites with Machine Learning
Archaeologists have demonstrated the value of deep learning models for detecting archaeological objects in lidar data. As landscape-level projects become the norm, archaeological data derived from deep learning predictions can be integrated into these initiatives through coupled natural-cultural landscapes planning. However, the paucity of archaeological training datasets limits the application of deep learning models to relatively common and wel…
Semantic Segmentation of Archaeological Features on Public Lands
The logistics, costs, and capacity needed to complete extensive archaeological pedestrian surveys to inventory cultural resources present challenges to public land managers. To address these issues, we developed a workflow combining lidar-derived imagery and deep learning (DL) models tailored for cultural resource management (CRM) programs on public lands. It combines Python scripts that fine-tune models to recognize archaeological features in li…
Identifying best practices in adoption, implementation and enforcement of flavoured tobacco product restrictions and bans
Flavoured tobacco policies have successfully limited sales, withstood legal challenges and become more comprehensive over time, providing useful lessons to inform ongoing and future legislative and programmatic efforts. Identifying and sharing best practices can improve passage, implementation, efficacy and evaluation of flavoured tobacco policies
No prominent works on this page.
Identifying best practices in adoption, implementation and enforcement of flavoured tobacco product restrictions and bans
Flavoured tobacco policies have successfully limited sales, withstood legal challenges and become more comprehensive over time, providing useful lessons to inform ongoing and future legislative and programmatic efforts. Identifying and sharing best practices can improve passage, implementation, efficacy and evaluation of flavoured tobacco policies
Semantic Segmentation of Archaeological Features on Public Lands
The logistics, costs, and capacity needed to complete extensive archaeological pedestrian surveys to inventory cultural resources present challenges to public land managers. To address these issues, we developed a workflow combining lidar-derived imagery and deep learning (DL) models tailored for cultural resource management (CRM) programs on public lands. It combines Python scripts that fine-tune models to recognize archaeological features in li…
Soil Nutrients and Agricultural Infrastructure in the South Kohala Field System, South Kohala, Hawaiʻi
The leeward uplands of Kohala, Hawaiʻi Island, contain a dense network of ancient agricultural fields that were intensively cultivated by Native Hawaiians for centuries. Previous archaeological research in the region has focused on the Leeward Kohala Field System, where most agricultural infrastructure is found at or above the hypothesized minimum rainfall threshold (750 mm/year) required for intensively cultivating sweet potato. The South Kohala…
Using Simulated Training Data to Locate Archaeological Sites with Machine Learning
Archaeologists have demonstrated the value of deep learning models for detecting archaeological objects in lidar data. As landscape-level projects become the norm, archaeological data derived from deep learning predictions can be integrated into these initiatives through coupled natural-cultural landscapes planning. However, the paucity of archaeological training datasets limits the application of deep learning models to relatively common and wel…
3D Surveying and Cultural Heritage (1 work) · agricultural infrastructure (1 work) · Amazonian Archaeology and Ethnohistory (1 work) · Archaeological Research and Protection (1 work) · Best practice (1 work) · Business (1 work) · Cultural heritage (1 work) · Deep learning (1 work) · Electrical and Electromagnetic Research (1 work) · Enforcement (1 work)