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Product pages » Land Surface Temperature Day Night Difference - MODIS, derived from MxD11 LST, Australia and New Zealand coverage

Land Surface Temperature Day Night Difference - MODIS, derived from MxD11 LST, Australia and New Zealand coverage

Last modified by Matt Paget on 2016/07/01 04:41

Land Surface Temperature Day Night Difference - MODIS, derived from MxD11 LST, Australia and New Zealand coverage


Figure 1: LST day, night and difference images from NetCDF file for 1-Jan-2014 over Australia and New Zealand

Link to the data

DescriptorData link
Persistent URL
GeoNetwork record


Data licence and Access rights

RightsCopyright 2014 UTS. Rights owned by the University of Technology Sydney (UTS). Rights licensed subject to Creative Commons Attribution (CC BY).
LicenceCreative Commons Attribution 3.0 License,
AccessThese data can be freely downloaded and used subject to the CC BY licence. Attribution and citation is required as described at We ask that you send us citations and copies of publications arising from work that use these data.

Alternate title

Land Surface Temperature-Day/Night/Difference from MOD11A2 (8-days,1km) - covering Australia and NZ

Abstract or Summary

Land Surface Temperature (LST) is a key variable for monitoring climatological processes and surface energy interactions at regional to global scales (Li et al. 2013). The MODIS LST product enables the estimation of diurnal variation of LST, which is a crucial parameter for the assessment of solar insolation, surface characteristics and climate variability (Braganza et al. 2004, Duan et al. 2014).

This data product combines day and night time LST data layers and a third layer, day-night difference layer, into a single netCDF file. These datasets were quality filtered based on the Quality Control (QC) layers provided with the MODIS data. MODIS data were reprojected to geographic projection (WGS 84 datum) and provide spatial coverage of Australia and New Zealand. Spatial resolution is 1 km with a temporal resolution of 8-days. Data are available for the period from March 2000 to current. LST and LST differences are provided in Kelvin units of measurement. 

LST difference is calculated as LST difference = LST day – LST night.

This product is functionally equivalent to the LPDAAC MODIS mosaics product for MOD11A2.005, with the addition of the LST difference layer and the extended spatial extent to include New Zealand. There may be small pixel differences between the two products due to different machines or parameters used for the mosaicing and resampling.

Spatial and Temporal extents

Spatial resolution (metres)1000 m (930m)
Spatial coverage (degrees)112 to 180 E, 10 to 48 S
Temporal resolution8 days
Temporal coverage2000-03-05 to ongoing (MOD11A2)
Sensor & platformMODIS Terra (MOD11A2)
Spatial representation typeGrid
Spatial reference systemWGS 84

Point of contact

NameProf. Alfredo Huete
OrganisationUniversity of Technology Sydney (UTS)
Address15 Broadway Road, Ultimo, NSW 2007, Australia
Telephone+61 2 9514 4084
NameDr. Rakhesh Devadvas
OrganisationUniversity of Technology Sydney (UTS)
PositionData Manager in eResearch
Address15 Broadway Road, Ultimo, NSW 2007, Australia
Telephone+61 2 9524 8351


This dataset was developed by the Remote Sensing Group at UTS. The original data were supplied by the Land Processes Distributed Active Archive Center (LPDAAC), located at the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS)


FoREnvironmental Sciences > Ecological Applications = 0501

There are three main thesauri that AusCover recommends:

  1. Global Change Master Directory (
  2. Climate and Forecast (CF) convention standard names (
  3. Fields of Research codes (

Data quality

LPDAAC are responsible for the actual data quality and provide quality channels as part of most products.  These channels are processed the same as the data channels.  The mosaicing, remapping and reformatting processes do not alter either the data or the quality fields.

Quality assessment of the LPDAAC MODIS products is undertaken by the MODIS Land Data Discipline Team,

Data set specific link(s) for MxD11 products are:

Users should be aware that not all tiles for a particular mosaic necessarily become available from the LPDAAC on the same day.  It is therefore possible that the most recent mosaic for any given product will be updated over several days, each time containing progressively more actual data within the same (standard) geographic extent.

We have had some minor issues with file corruption that have been detected by users unable to un-gzip the mosaic files.  If you discover any such files, please report them to us (see contacts section).

Flags used for these datasets are as below:

FlagsBit Combination (accepted range)
Mandatory QA <10
Data Quality<10
Emis Error<11
LST Error<11

Validation status

Quality assessment of the LPDAAC MODIS products is undertaken by the MODIS Land Data Discipline Team,

Data set specific link(s) for MxD11 products are:

Related products

ItemProduct link



ItemDetail or link
LPDAAC product page
Validation report

Li, Z.-L., Tang, B.-H., Wu, H., Ren, H., Yan, G., Wan, Z., … Sobrino, J. A. (2013). Satellite-derived land surface temperature: Current status and perspectives. Remote Sensing of Environment, 131(0), 14–37. doi:


Braganza, K., Karoly, D. J., & Arblaster, J. M. (2004). Diurnal temperature range as an index of global climate change during the twentieth century. Geophysical Research Letters, 31(13), L13217. doi:10.1029/2004GL019998


Duan, S.-B., Li, Z.-L., Tang, B.-H., Wu, H., Tang, R., Bi, Y., & Zhou, G. (2014). Estimation of Diurnal Cycle of Land Surface Temperature at High Temporal and Spatial Resolution from Clear-Sky MODIS Data. Remote Sensing, 6(4), 3247–3262. Retrieved from

Algorithm summary

The MOD11A2 data were downloaded from LPDAAC ( in HDF format and were quality filtered based on the flags provided in the Quality Control (QC) layers. Pixels with the following labels indicated in the QA bitmap layer were accepted:

  • Mandatory QA: LST produced with good quality and other quality
  • Emis Error Flag: Average emissivity error <=0.04
  • LST Error Flag: Average LST error <=3K

QA filtered 8-day LST day and night data covering Australia and New Zealand (19 tiles per 8 days) were mosaicked and reprojected from the MODIS sinusoidal to WGS 84 geographic projection to obtain day and night layers in GeoTiff format. The LST difference layer was calculated as,

    LST difference = LST day – LST night

LST day, LST night and LST difference layers were stacked and converted to a single netCDF file for each 8-day period.

The LPDAAC product pages, provide links to the ATBDs and other supporting documentation of the HDF datasets used to generate this product.

Detailed user guide and ATBD can be found as the attachment LST_UG_ATBD_Web_v1.pdf.

Product version history

Version labelDetail
1.0Initial release

Metadata history

2014-06-03Metadata creation date
2014-06-03Updated some section
Created by Matt Paget on 2014/04/30 15:52

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