Published August 25, 2023 | Version v1
Dataset Open

ELITE emissivity: Landsat NBE over China (2005.7)

  • 1. Beijing Normal University

Description

The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat5 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI).

This is the ELITE Landsat NBE dataset from Landsat 5 in July 2005. Please click here to download the ELITE Landsat NBE dataset from Landsat 5 in January 2005.

Dataset Characteristics:

  • Spatial Coverage: China
  • Temporal Coverage: 2005.7
  • Spatial Resolution: 30m
  • Temporal Resolution: 16 days
  • Data Format: Geotiff
  • Scale: 0.001

Citation (Please cite these papers when using the data):

  1. Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032

If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).

Files

Files (1.4 GB)

Name Size Download all
md5:167c1f202671d790d0844aa3508836cb
24.0 MB Download
md5:22b40224299ac9048625526474102777
77.2 MB Download
md5:9dd55e8bcc639316f334ff76dc63c43a
11.9 MB Download
md5:8b9cee62c29699d52a280f53bebf42ed
14.7 MB Download
md5:0fb14b61dcc8259c8b8aa9e0a0ee35fb
55.1 MB Download
md5:114c78164f2523cbc063cecb0d9aa15c
74.7 MB Download
md5:a9148cc9ce0bed9868686eaf715b8abb
84.8 MB Download
md5:e71c653a51267507f4f1da32454d74ea
7.5 MB Download
md5:76fec9227c86e92aebac0010d28a05b9
76.6 MB Download
md5:e6d35f252898efedfc6828fe5dad1049
23.8 MB Download
md5:fc7a4776cbfdaa59df6ac0f7d40a878a
112.3 MB Download
md5:80693bbd7e54a25c5f3947b68c300e85
52.6 MB Download
md5:221ed286110ec1b8487197a205f0acb2
84.9 MB Download
md5:9075aff30b9516731077111e8d62f7d2
17.6 MB Download
md5:c5d370067b1bd3f215dcaaac1f579a94
47.4 MB Download
md5:b0bfc974466178dc71bc5ce472ca8abf
56.0 MB Download
md5:0230ac68da70638439b712de3a893e35
50.1 MB Download
md5:ecd2a8ea130e9ae91132edd47c018760
62.8 MB Download
md5:40b5dbefb43db889d57321fabf5d7fad
13.9 MB Download
md5:b6e15b3ba1b6ff435b38f424c9599acf
53.2 MB Download
md5:06b8d9903b6b6cede465713679fc3682
44.6 MB Download
md5:3534c3de9e8a306ab712c061cd656ce4
33.6 MB Download
md5:7c829a469a3463c8cbb2050d24e8393b
17.9 MB Download
md5:6887f87a6bd96f6b7d6b46d7cefe9dda
40.6 MB Download
md5:c8c45649b277a784d3a491498fca0a47
61.0 MB Download
md5:9cc306b43efec0a8e021dbb24110c5da
41.5 MB Download
md5:ca91136ca7fb538cabb949369287ff08
54.0 MB Download
md5:fe40f8c40215ed23ec62bd7dedb4a40e
49.5 MB Download
md5:fde307ed64f25430ab323ff8b7da5878
27.7 MB Download
md5:f849e303a1d34ce9bbc92238c56cf298
24.3 MB Download
md5:ef29721b7f07367b2a6e375afdbeed91
32.7 MB Download
md5:e9d6c1344579c4be763d0b750fad2066
469.5 kB Download