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Mapping Turfgrass Quality Using Random Forest Algorithm Based on UAV-Based Spectral Indices


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Created: Jan 26, 2024 at 5:07 a.m.
Last updated: Apr 07, 2025 at 3:51 p.m.
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Content types: Geographic Raster Content 
Sharing Status: Public
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Abstract

Mapping Turfgrass Quality Using Random Forest Algorithm Based on UAV-Based Spectral Indices

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Eagle Lake Golf Course, Utah
North Latitude
41.1689°
East Longitude
-112.0481°
South Latitude
41.1637°
West Longitude
-112.0544°

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

How to Cite

Meza, K., A. F. Torres, R. Gao (2025). Mapping Turfgrass Quality Using Random Forest Algorithm Based on UAV-Based Spectral Indices, HydroShare, http://www.hydroshare.org/resource/1ad85e8aac754df490d1438bcb5fe384

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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