scholarly journals A sub km resolution global database of surface reflectance and emissivity based on 10-years of MODIS data

2016 ◽  
Vol 122 ◽  
pp. 222-235 ◽  
Author(s):  
Louis Gonzalez ◽  
François-Marie Bréon ◽  
Karine Caillault ◽  
Xavier Briottet
Keyword(s):  
Surface Reflectance ◽  
Global Database ◽  
Modis Data

scholarly journals Red Algae Bloom Detection in Occhito Lake Combining MERIS and MODIS Data

2017 ◽  
Author(s):  
Raffaella Matarrese ◽  
Nicolas Guyennon ◽  
Diego Copetti
Keyword(s):  
Remote Sensing ◽  
Ad Hoc ◽  
High Accuracy ◽  
Optical Parameters ◽  
Surface Reflectance ◽  
Algae Bloom ◽  
Modis Data ◽  
South Italy ◽  
Spectral Behaviour ◽  
Remote Sensing Techniques

In winter 2008-2009, Lake Occhito, a strategic multiple-uses reservoir in South Italy, was affected by an extraordinary Planktothrix rubescens bloom. P. rubescens is a filamentous potentially toxic cyanobacterium which has recently colonized many environments in Europe. A number of studies is currently available on the use of remote sensing techniques to monitor different fresh water cyanobacteria species. By contrast no specific applications are available on the remote sensing monitoring of P. rubescens. In this paper we present a specific algorithm, based on Water Leaving Reflectances (WLR) from MERIS data, atmospherically corrected using the Aerosol Optical Thickness (AOT) retrieved by MODIS data, to detect P. rubescens blooms. The high accuracy in AOT data, provided by MOD09 surface reflectance product, at 1km spatial resolution, allowed obtaining a good correlation between the WLR and the P. rubescens chlorophyll-a concentrations measured in the field, through multiple stations fluorometric profiles. A modified Normalized Difference Chlorophyll index (NDCI) algorithm is presented. The performance of the proposed algorithm has been successfully compared with other specific algorithms for turbid productive waters. We demonstrated how important is to verify the spectral behaviour of bio-optical parameters in order to develop an ad hoc algorithm that better performs with respect to standard algorithms.

scholarly journals Impact of MODIS sensor calibration updates on Greenland ice sheet surface reflectance and albedo trends

2017 ◽  
Author(s):  
Kimberly A. Casey ◽  
Chris M. Polashenski ◽  
Justin Chen ◽  
Marco Tedesco
Keyword(s):  
Ice Sheet ◽  
Greenland Ice Sheet ◽  
Sensor Calibration ◽  
Surface Reflectance ◽  
Product Analysis ◽  
Modis Data ◽  
Albedo Change ◽  
Wet Snow ◽  
Sensor Degradation ◽  
Lower Magnitude

Abstract. We evaluate Greenland Ice Sheet (GrIS) surface reflectance and albedo trends using the newly released Collection 6 (C6) MODIS products over the period 2001–2016. We find that the correction of MODIS sensor degradation provided in the new C6 data products reduces the magnitude of the surface reflectance and albedo decline trends obtained from previous MODIS data (i.e. Collection 5, C5). Collection 5 and 6 data product analysis over GrIS is characterized by surface (i.e. wet vs. dry) and elevation (i.e. 500 m–2000 m, 2000 m and greater) conditions over the summer season from June 1–August 31. Notably, the visible-wavelength declining reflectance trends identified in several bands MODIS C5 data from previous studies are only slightly detected, at reduced magnitude in the C6 versions over the dry snow zone. Wet snow albedo decline over the MODIS record remains in the C6 product, albeit at a lower magnitude than obtained using C5 data. Further analysis of C6 spectral reflectance trends show both reflectance increases and decreases in select bands and regions, suggesting that several competing processes are contributing to ice sheet albedo change. Investigators using MODIS data in other fields may consider similar re-examinations of trends previously established using C5 data.

Construction of a Global Database of Surface Reflectance and Emissivity at a Sub km Resolution

PIERS Online ◽  
2010 ◽  
Vol 6 (2) ◽  
pp. 195-200 ◽  
Author(s):  
Louis Gonzalez ◽  
François-Marie Bréon ◽  
Xavier Briottet
Keyword(s):  
Surface Reflectance ◽  
Global Database

scholarly journals Quality assessment of Landsat surface reflectance products using MODIS data

2012 ◽  
Vol 38 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Min Feng ◽  
Chengquan Huang ◽  
Saurabh Channan ◽  
Eric F. Vermote ◽  
Jeffrey G. Masek ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Surface Reflectance ◽  
Modis Data

scholarly journals MOSEV: a global burn severity database from MODIS (2000–2020)

2021 ◽  
Vol 13 (5) ◽  
pp. 1925-1938
Author(s):  
Esteban Alonso-González ◽  
Víctor Fernández-García
Keyword(s):  
Correlation Coefficients ◽  
Burn Severity ◽  
Burned Area ◽  
Landsat 8 ◽  
Surface Reflectance ◽  
Global Database ◽  
Tiling System ◽  
Time To Build ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
The Difference

Abstract. To make advances in the fire discipline, as well as in the study of CO2 emissions, it is of great interest to develop a global database with estimators of the degree of biomass consumed by fire, which is defined as burn severity. In this work we present the first global burn severity database (MOSEV database), which is based on Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance and burned area (BA) products from November 2000 to near real time. To build the database we combined Terra MOD09A1 and Aqua MYD09A1 surface reflectance products to obtain dense time series of the normalized burn ratio (NBR) spectral index, and we used the MCD64A1 product to identify BA and the date of burning. Then, we calculated for each burned pixel the difference of the NBR (dNBR) and its relativized version (RdNBR), as well as the post-burn NBR, which are the most commonly used burn severity spectral indices. The database also includes the pre-burn NBR used for calculations, the date of the pre- and post-burn NBR, and the date of burning. Moreover, in this work we have compared the burn severity metrics included in MOSEV (dNBR, RdNBR and post-burn NBR) with the same ones obtained from Landsat-8 scenes which have an original resolution of 30 m. We calculated the Pearson's correlation coefficients and the significance of the relationships using 13 pairs of Landsat scenes randomly distributed across the globe, with a total BA of 6904 km2 (n=32 163). Results showed that MOSEV and Landsat-8 burn severity indices are highly correlated, particularly the post-burn NBR (R=0.88; P<0.001), and dNBR (R=0.74; P<0.001) showed stronger relationships than RdNBR (R=0.42; P<0.001). Differences between MOSEV and Landsat-8 indices are attributable to variability in reflectance values and to the different temporal resolution of both satellites (MODIS: 1–2 d; Landsat: 16 d). The database is structured according to the MODIS tiling system and is freely downloadable at https://doi.org/10.5281/zenodo.4265209 (Alonso-González and Fernández-García, 2020).

scholarly journals MOSEV: a global burn severity database from MODIS (2000–2020)

2020 ◽  
Author(s):  
Esteban Alonso-González ◽  
Víctor Fernández-García
Keyword(s):  
Correlation Coefficients ◽  
Burn Severity ◽  
Burned Area ◽  
Landsat 8 ◽  
Surface Reflectance ◽  
Global Database ◽  
Time To Build ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
The Difference ◽  
Highly Correlated

Abstract. To advance in the fire discipline as well as in the study of CO2 emissions it is of great interest to develop a global database with estimators of the degree of biomass consumed by fire, which is defined as burn severity. In this work we present the first global burn severity database (MOSEV database), which is based on Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance and burned area (BA) products since November 2000 to near real time. To build the database we combined Terra MOD09A1 and Aqua MYD09A1 surface reflectance products to obtain dense time series of the Normalized Burn Ratio (NBR) spectral index, and we used the MCD64A1 product to identify BA and the date of burning. Then, we calculated for each burned pixel the difference of the NBR (dNBR), and its relativized version (RdNBR), as well as the post-burn NBR which are the most commonly used burn severity spectral indices. The database also includes the pre-burn NBR used for calculations, the date of the pre- and post-burn NBR and the date of burning. Moreover, in this work we have compared the burn severity metrics included in MOSEV (dNBR, RdNBR and post-burn NBR) with the same ones obtained from Landsat-8 scenes, which have an original resolution of 30 m. We calculated the Pearson's correlation coefficients and the significance of the relationships using 13 pairs of Landsat scenes randomly distributed across the globe, with a total BA of 6,904 km2 (n = 32,163). Results showed that MOSEV and Landsat-8 burn severity indices are highly correlated, particularly the post-burn NBR (R = 0.88; P 

scholarly journals Impact of MODIS sensor calibration updates on Greenland Ice Sheet surface reflectance and albedo trends

2017 ◽  
Vol 11 (4) ◽  
pp. 1781-1795 ◽  
Author(s):  
Kimberly A. Casey ◽  
Chris M. Polashenski ◽  
Justin Chen ◽  
Marco Tedesco
Keyword(s):  
Ice Sheet ◽  
Greenland Ice Sheet ◽  
Sensor Calibration ◽  
Surface Reflectance ◽  
Product Analysis ◽  
Modis Data ◽  
Wet Snow ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Sensor Degradation ◽  
Lower Magnitude

Abstract. We evaluate Greenland Ice Sheet (GrIS) surface reflectance and albedo trends using the newly released Collection 6 (C6) MODIS (Moderate Resolution Imaging Spectroradiometer) products over the period 2001–2016. We find that the correction of MODIS sensor degradation provided in the new C6 data products reduces the magnitude of the surface reflectance and albedo decline trends obtained from previous MODIS data (i.e., Collection 5, C5). Collection 5 and 6 data product analysis over GrIS is characterized by surface (i.e., wet vs. dry) and elevation (i.e., 500–2000 m, 2000 m and greater) conditions over the summer season from 1 June to 31 August. Notably, the visible-wavelength declining reflectance trends identified in several bands of MODIS C5 data from previous studies are only slightly detected at reduced magnitude in the C6 versions over the dry snow area. Declining albedo in the wet snow and ice area remains over the MODIS record in the C6 product, albeit at a lower magnitude than obtained using C5 data. Further analyses of C6 spectral reflectance trends show both reflectance increases and decreases in select bands and regions, suggesting that several competing processes are contributing to Greenland Ice Sheet albedo change. Investigators using MODIS data for other ocean, atmosphere and/or land analyses are urged to consider similar re-examinations of trends previously established using C5 data.

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