Abstract

As part of a National Aeronautics and Space Administration (NASA) MEaSUREs (Making Earth System Data Records for Use in Research Environments) Land Surface Temperature and Emissivity project, the Space Science and Engineering Center (UW-Madison) and the NASA Jet Propulsion Laboratory (JPL) developed a global monthly mean emissivity Earth System Data Record (ESDR). This new Combined ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) and MODIS (Moderate Resolution Imaging Spectroradiometer) Emissivity over Land (CAMEL) ESDR was produced by merging two current state-of-the-art emissivity datasets: the UW-Madison MODIS Infrared emissivity dataset (UW BF) and the JPL ASTER Global Emissivity Dataset Version 4 (GEDv4). The dataset includes monthly global records of emissivity and related uncertainties at 13 hinge points between 3.6–14.3 µm, as well as principal component analysis (PCA) coefficients at 5-km resolution for the years 2000 through 2016. A high spectral resolution (HSR) algorithm is provided for HSR applications. This paper describes the 13 hinge-points combination methodology and the high spectral resolutions algorithm, as well as reports the current status of the dataset.

Highlights

  • Land Surface Temperature and Emissivity (LST&E) data are critical variables for studying a variety of Earth surface processes and surface–atmosphere interactions such as evapotranspiration, surface energy balance, and water vapor retrievals

  • LST&E have been identified as an important Earth System Data Record (ESDR) by National Aeronautics and Space Administration (NASA) and many other international organizations (NASA Strategic Roadmap Committee #9, 2005; Global Climate Observing System (GCOS), 2003; Climate Change Science Program (CCSP), 2006 and the recently established International Surface Temperature Initiative) [1]

  • Since the ASTER GEDv3 product represents a mean emissivity climatology of ASTER data acquired over an 11-year period (2000–2010), an emissivity adjustment is necessary over heterogeneous land cover types that are subject to annual and inter-annual land cover changes

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Summary

Introduction

Land Surface Temperature and Emissivity (LST&E) data are critical variables for studying a variety of Earth surface processes and surface–atmosphere interactions such as evapotranspiration, surface energy balance, and water vapor retrievals. NASA has recognized the importance of LST&E, and identified the need to develop long-term, consistent, and calibrated data and products that are valid across multiple missions and satellite. NASA has recognized the importance of LST&E, and identified the need to develop long-term, consistent, and calibrated data and products that are valid across multiple missions and satellite sensors. Under the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) program, a monthly mean unified Low Earth Orbit (LEO) based Land Surface Emissivity (LSE) ESDR at 5 km has been produced by merging two current state-of-the-art emissivity databases, the UW-Madison MODIS based UW BF, and the Jet Propulsion Laboratory (JPL) ASTER GED Version (GEDv4) [10], which is called the CAMEL. The two input emissivity databases are introduced: the ASTER GEDv4 and the UW BF emissivity, along with the selected laboratory measurements that are needed for HSR application

The ASTER Global Emissivity Dataset
ASTER Vegetation and Snow Cover Adjustment
Aggregation of ASTER GED to 5-km Resolution
Input MODIS MOD11 Products
The Laboratory Measurements
Method
Hinge-points Method
Findings
Applications
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