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

Authors:
Rui GaoAlfonso Faustino Torres-Rua
Owners: Rui GaoAlfonso Faustino Torres
  • Contributions
    Joined

Type: Resource
Storage: The size of this resource is 2.8 MB
Created: Dec 28, 2022 at 7:41 a.m.
Last updated: Jan 18, 2023 at 7:39 p.m. (Metadata update)
Published date: Jan 18, 2023 at 7:39 p.m.
DOI: 10.4211/hs.c0876501581f46c698727dc956cc2d73
Citation: See how to cite this resource
Content types: Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content 
Sharing Status: Published
Views: 1023
Downloads: 86
+1 Votes: 1 other +1 this
Comments: No comments (yet)

Abstract

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

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
California vineyards
North Latitude
38.5354°
East Longitude
-119.9697°
South Latitude
36.7692°
West Longitude
-123.2468°

Temporal

Start Date: 03/01/2021
End Date: 12/31/2022
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

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.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-c0876501581f46c698727dc956cc2d73/wms?request=GetCapabilities

Web Coverage Service

https://geoserver.hydroshare.org/geoserver/HS-c0876501581f46c698727dc956cc2d73/wcs?request=GetCapabilities

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NASA NNX17AF51G
Utah Water Research Laboratory Student Fellowship

Contributors

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, https://doi.org/10.4211/hs.c0876501581f46c698727dc956cc2d73

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

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

Comments

There are currently no comments

New Comment

required