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Temperature separation via eliminating shadow-pixel influence based on high-resolution sUAS image in California vineyards

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Created: Dec 28, 2022 at 7:41 a.m.
Last updated: Jan 18, 2023 at 7:39 p.m.
DOI: 10.4211/hs.c0876501581f46c698727dc956cc2d73
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Content types: Geographic Raster Content 
Sharing Status: Published
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The images generated by high-resolution spectral and thermal sensors equipped on small unmanned aerial vehicles (sUAV) make possible estimation of energy flux for California vineyards via the two-source energy balance (TSEB) model. Temperature (thermal) image plays an important role in the TSEB model, and the high-resolution provides an opportunity for temperature separation, which may better delineate the energy flux between canopy and soil. However, with the exception of shadow effects, outliers are another major concern during data processing with a previous temperature separation algorithm that uses the relationship between the normalized difference vegetation index (NDVI) and the corresponding temperature pixel for temperature separation. An upgraded algorithm for temperature separation was introduced in the paper titled “The suitability of the TSEB model as a tool to estimate ET partitioning using improved LAI considering the difference of climate, soil, vine variety, and seasons for research areas across California,” and this research provides example data and the upgraded algorithm (a python programmed function) to demonstrate how we finished the temperature separation process.

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
California vineyards
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:


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.


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Utah Water Research Laboratory Student Fellowship


People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Carri Richards Utah State University

How to Cite

Gao, R., A. F. Torres-Rua (2023). Temperature separation via eliminating shadow-pixel influence based on high-resolution sUAS image in California vineyards, HydroShare,

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


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