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MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V006 | NASA Earthdata Skip to main content

Description

The MOD11A2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD11A2 Version 6.1 data product.

The MOD11A2 Version 6 product provides an average 8-day per-pixel Land Surface Temperature and Emissivity (LST&E) with a 1 kilometer (km) spatial resolution in a 1,200 by 1,200 km grid. Each pixel value in the MOD11A2 is a simple average of all the corresponding MOD11A1 LST pixels collected within that 8-day period. The 8-day compositing period was chosen because twice that period is the exact ground track repeat period of the Terra and Aqua platforms. Provided along with the daytime and nighttime surface temperature bands are associated quality control assessments, observation times, view zenith angles, and clear-sky coverages along with bands 31 and 32 emissivities from land cover types.

Known Issues

Version Description

The following changes and improvements were implemented for inputs to MODIS Version 6 land surface temperature and emissivity data products: (1) Removed cloud-contaminated LSTs from Level 2 and Level 3 LST products, (2) Updated the coefficient look-up table (LUT) for the split-window algorithm with comprehensive regression analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) simulation data in bands 31 and 32 over wide ranges of surface and atmospheric conditions, especially extending the upper boundary for (LST – Ts-air) in arid and semi-arid regions. Increased the overlap between various sub-ranges to reduce the sensitivity of the algorithm to uncertainties in the input data (i.e., column water vapor and air surface temperature from MOD07), (3) Made minor adjustments in the classification-based surface emissivity values, especially for bare soil and rocks land cover types, (4) Tuned the day/night algorithm by adjusting weights to improve performance in desert regions where the incorporated split-window algorithm may not work well, and (5) Generated new gridded LST&E products with a 6 km spatial resolution for 8-day (MOD11B2) and monthly (MOD11B3) intervals in response to user community requests.

Product Summary

Platforms
Terra
Instruments
MODIS
Projects
TERRA
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
1000 Meters x 1000 Meters
Spatial Reference System(s)
MODIS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-02-18 to 2022-11-16
Temporal Resolution
8 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
Concept ID
C2763297220-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
Land Surface Temperature ,
Emissivity

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Wan, Z., Hook, S., & Hulley, G. (2015). MOD11A2 MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V006 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD11A2.006 Date Accessed: 2026-10-12

File Naming Convention

MOD11A2.A2002273.h23v10.006.2015160225409.hdf

The file name begins with the Product Short Name (MOD11A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h23v10), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015160225409), and the Data Format (hdf).

Documents

USER'S GUIDE

ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)

DATA PRODUCT SPECIFICATION

PRODUCT QUALITY ASSESSMENT

SCIENCE DATA PRODUCT VALIDATION

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QUESTIONS & SUPPORT

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
An Interpretable Index-Based Analysis and Scenario-Based Spatial Simulation of Vegetation Drought in the Yellow River Water Conservation Area
  • Li, Rong, Zhu, Rui, Yin, Zhenliang, Li, Tong, Li, Mengwei, Zhou, Ganlin
An AOD-Integrated Remote Sensing Ecological Index for Assessing Ecological Quality Dynamics and Management Zoning in the Shenyang Metropolitan Area (20002025)
  • Shi, Tuo, Li, Fangyuan, Wang, Mingyu, Li, Chunjiao, Qi, Li, Dong, Yuzhu, Hu, Lingxue
Compact CNN-Transformers match larger models for spatially-robust soil organic carbon mapping at regional scale
  • Fourel, Valerian, Wiesmeier, Martin, Kakhani, Nafiseh, Scholten, Thomas
Increasing Warming May Inhibit Land Carbon Uptake in Northern High
  • Madani, Nima, Parazoo, Nicholas C., Berner, Logan T., Miller, Charles E., Chatterjee, Abhishek
Dynamics of vegetation responses to desert locust (Schistocerca gregaria) plagues of 2019-2021 in Wabe Shebelle River Basin of Ethiopia
  • Mallie, Demissie Tsega, Demissie, Solomon Tekalegn, Beza, Solomon Asfaw, Erena, Sitotaw Haile, Dejene, Sintayehu Workineh
Ecoregion-specific restructuring of green-season and peak-season
  • Olariu, Horia G.
Contrasting impacts of gold mining and oil palm expansion on ecosystem functioning in the Peruvian Amazon
  • Castillo, Hebert, Guerra, Juan Carlos, Sakaguchi, Fabio, Cano, Deyvis, Baldassini, Pablo
Fire severity and resistance-resilience trade-offs in tropical Himalayan
  • Nagashree, GE, Sharma, Ashutosh
A bio-inspired artificial intelligence framework leveraging remote sensing for groundwater storage modeling in climate-stressed regions
  • Elmotawakkil, Abdessamad, Youssef, Ali Ait, Jaldi, Saad, Bouhassane, Mohammed, Karkouri, Adnane Al, Moumane, Adil
A remote sensing framework for mapping agricultural water priority areas and hot spots in northeast Italy
  • Lippa, Massimiliano N., Tarolli, Paolo
Advancing effective and representative sampling designs for national
  • Diez-Pastor, Elena, Le, Huong, la Rosa, Jose Armando Alanis-de, Aldrete-Leal, Metzli Ileana, Cuenca-Lara, Rubi Angelica, Medina-Casillas, Sandra Liliana, Park, Taejin, Ramos-Madrigal, Rodrigo, Santacruz-Carrillo, Malinali, Smith, Elizabeth M., Vargas, Rodrigo
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Heat island, pollution load and urban sprawl in the Kolkata metropolitan city of India during 20002020: implications for its sustainability
  • Rashmitha, Yenugula, Kuttippurath, Jayanarayanan, Patel, Vikas Kumar, Ghosh, Buddhadev
Halophyte-based saline irrigation: A remote sensing study of eco-hydrological impacts
  • Azeem, Ahmad, wenxuan, Mai, Jiang, Liyuan
Comparing the benefits of native and novel ecosystems as urban nature-based solutions: a case study of Johannesburg, South Africa
  • Hyslop, Camilla, Venter, Zander, Stevens, Nicola
Commodity-driven deforestation doubles local warming from tropical forest loss
  • Smith, Callum, Baker, Jessica C A, Doggart, Nike H, Argles, Arthur P K, Robertson, Eddy, Chadwick, Robin, Adami, Marcos, Coelho, Caio A S, Spracklen, Dominick V
Climate-dominated, LUCC-enhanced waterecosystem responses in the humid temperate Tumen River basin
  • Wang, Haiqing, Su, Mengqi, Qi, Peng, Li, Guangyin, Zou, Yuanchun
Combined effects of site and model parameterization for soil respiration components in a Canadian wildfire chronosequence
  • Zobitz, John, Zhou, Xuan, Aaltonen, Heidi, Koster, Egle, Berninger, Frank, Pumpanen, Jukka, Koster, Kajar
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  • Baldan, Vincenzo, Straffelini, Eugenio, DAgostino, Vincenzo, Tarolli, Paolo
Novel Hybrid Machine Learning Framework for Agroecological Zoning in a Tropical Data-Scarce Region: Case Study of the South-Kivu, Eastern D.R. Congo
  • Kulimushi, Luc Cimusa, Mondo, Jean Mubalama, Bashagaluke, Janvier Bigabwa, Bisimwa, Aime Heri-Kazi, Balezi, Alphonse Zihalirwa, Majaliwa, Jackson-Gilbert M., Kahindo, Charles, Singh, Sudhir Kumar, Ray, Ram Lakhan, Karume, Katcho
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You're viewing 25 of 588

Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor Offset
Clear_sky_days Day clear-sky coverage Bit Field uint8 0 1 to 255 N/A N/A
Clear_sky_nights Night clear-sky coverage Bit Field uint8 0 1 to 255 N/A N/A
Day_view_angl View zenith angle of day observation Degree uint8 255 0 to 130 N/A -65
Day_view_time Local time of day observation Hours uint8 255 0 to 240 0.1 N/A
Emis_31 Band 31 emissivity N/A uint8 0 1 to 255 0.002 0.49
Emis_32 Band 32 emissivity N/A uint8 0 1 to 255 0.002 0.49
LST_Day_1km Daytime Land Surface Temperature Kelvin uint16 0 7500 to 65535 0.02 N/A
LST_Night_1km Nighttime Land Surface Temperature Kelvin uint16 0 7500 to 65535 0.02 N/A
Night_view_angl View zenith angle of night observation Degree uint8 255 0 to 130 N/A -65
Night_view_time Local time of night observation Hours uint8 255 0 to 240 0.1 N/A
QC_Day Daytime LST Quality Indicators Bit Field uint8 N/A 0 to 255 N/A N/A
QC_Night Nighttime LST Quality indicators Bit Field uint8 N/A 0 to 255 N/A N/A
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