uhi_stats: uhi_stats

In RichardLemoine/LSTtools: LSTtools: An R package to process thermal data derived from Landsat and MODIS images

Description

Computes Urban Heat Island (UHI) indicators based on a LST raster and spatial limits defined by a raster layer.

Usage

uhi_stats(x, y, id = NULL)

Arguments

x	LST raster layer.
y	Raster indicating spatial limits (e.g., land cover).
id	Numeric: ID of the spatial limit of the urban area (e.g., urban class).

Details

Computes LST descriptive statistics (i.e., min, mean, max and sd) and the difference and magnitude UHI indicators. Difference is computed as the mean LST urban minus mean LST other(s) and magnitude is the maximum LST minus mean LST for each class. x and y must have the same projection and id must be a numeric value.

Value

A data frame with descriptive statistics and difference and magnitude UHI indicators.

References

Dousset, B. and Gourmelon, F. (2003). Satellite multi-sensor data analysis of urban surface temperatures and landcover. ISPRS Journal of Photogrammetry and Remote Sensing. 58(1-2), 43-54.

Chen, X. L., Zhao, H. M., Li, P. X. and Yin, Z. Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment. 104(2), 133-146.

Rajasekar, U. and Weng, Q. H. (2009). Urban heat island monitoring and analysis using a non-parametric model: A case study of Indianapolis. ISPRS Journal of Photogrammetry and Remote Sensing. 64(1), 86-96.

Zhou, J., Li, J. and Yue, J. (2010). Analysis of urban heat island (UHI) in the Beijing metropolitan area by time-series MODIS data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010) (pp. 3327-3330).

Examples

## Not run: # For urban land use class with id = 2
uhiind <- uhi_stats(lstL8, landuse, id = 2)
## End(Not run)

RichardLemoine/LSTtools documentation built on Oct. 19, 2020, 12:50 a.m.