Continental-scale surface reflectance product from CBERS-4 MUX data: Assessment of atmospheric correction method using coincident Landsat observations
نویسندگان
چکیده
منابع مشابه
Spectral normalization between Landsat-8/OLI, Landsat- 7/ETM+ and CBERS-4/MUX bands through linear regression and spectral unmixing
Monitoring changes on Earth's surface is a difficult task commonly performed using multi-spectral remote sensing. The increasing availability of remote sensing platforms providing data makes multi-source approaches promising, since it can increase temporal revisit rate. However, Digital image processing techniques are needed to integrate the data, since sensors can be quite different in terms o...
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We investigated a method for noise removal on Landsat-8 OLI timeseries using CBERS-4 MUX data to improve crop classification. An algorithm was built to look to the nearest MUX image for each Landsat image, based on user defined time span. The algorithm checks for cloud contaminated pixels on the Landsat time series using Fmask and replaces them with CBERS-4 MUX to build the integrated time seri...
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The potential of Landsat data processing to provide systematic continental scale products has been demonstrated by several projects including the NASA Webenabled Landsat Data (WELD) project. The recent free availability of Landsat data increases the need for robust and efficient atmospheric correction algorithms. This study compares the accuracy of two Landsat atmospheric correction methods: a ...
متن کاملFirst in-Flight Radiometric Calibration of MUX and WFI on-Board CBERS-4
Brazil and China have a long-term joint space based sensor program called China-Brazil Earth Resources Satellite (CBERS). The most recent satellite of this program (CBERS-4) was successfully launched on 7 December 2014. This work describes a complete procedure, along with the associated uncertainties, used to calculate the in-flight absolute calibration coefficients for the sensors Multispectra...
متن کاملA Software Tool for Atmospheric Correction and Surface Temperature Estimation of Landsat Infrared Thermal Data
Land surface temperature (LST) is an important variable involved in the Earth’s surface energy and water budgets and a key component in many aspects of environmental research. The Landsat program, jointly carried out by NASA and the USGS, has been recording thermal infrared data for the past 40 years. Nevertheless, LST data products for Landsat remain unavailable. The atmospheric correction (AC...
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2018
ISSN: 0034-4257
DOI: 10.1016/j.rse.2018.09.017