Remote sensing of the land surface for studies of global change: Models — algorithms — experiments

Sellers, P. J.; Meeson, B.W.; Hall, Forrest G.; Asrar, Ghassem; Murphy, R.E.; Schiffer, R. A.; Bretherton, F. P.; Dickinson, Robert E.; Ellingson, Robert G.; Field, Christopher B.; Huemmrich, K. F.; Justice, Christopher O.; Mélack, John M.; Roulet, Nigel T.; Schimel, D.; Try, Paul D.

doi:10.1016/0034-4257(94)00061-q

Cited by 289 publications

(173 citation statements)

References 30 publications

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“…This method, however, is insufficient for global modeling since estimates of PAR are restricted to a few discrete observations (Frouin and Pinker, 1995). Since the launch of the first multispectral satellite sensors, numerous approaches have been developed to infer large scaled PAR from top of the atmosphere solar radiance using optical modeling (Sellers et al, 1995) to allow spatially exhaustive estimates of broadband and shortwave irradiance (Eck and Dye, 1991;Frouin and Gautier, 1992;Pinker and Laszlo, 1992). PAR is thereby often defined as a fraction of the reflected shortwave radiation (e.g., Tarpley, 1979;Gautier et al, 1980;Pinker and Ewing, 1985;Running et al, 1999), which is sufficient for most biological applications (Blackburn and Proctor, 1983;Weiss and Norman, 1985).…”

Section: Photosynthetically Active Radiationmentioning

confidence: 99%

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The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

260

187

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Section: Photosynthetically Active Radiationmentioning

confidence: 99%

“…Specifically designed to bridge a wide range of spatial scales (e.g. Kharouk et al, 1995;Sellers et al, 1995;Potter et al, 1999;, BOREAS integrated repeated leaf scale, flux-tower, airborne, and spaceborne observations to investigate issues of up-scaling local observations to landscape levels (1000x1000km) (Sellers et al, 1997).…”

Section: Validation Approachesmentioning

confidence: 99%

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

260

187

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“…BRDF-related spectral variations over time are often confused with land-cover change [7], with biases introduced by such inappropriate data fusion potentially exceeding minimum sensitivity levels of climate models [2,36]. These effects can be pronounced [37,38] in data based on measurements from wide-angle sensors, such as the NOAA Advanced Very High Resolution Radiometer (AVHRR), MODIS, the Multi-angle Imaging Spectroradiometer (MISR), the Polarization and Directionality of Earth Reflectance (POLDER) sensor, and the recent Visible Infrared Imaging Radiometer Suite (VIIRS).…”

Section: The Value Of Directional Reflectance Correctionmentioning

confidence: 99%

Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval

et al. 2017

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Measurements of solar radiation reflected from Earth's surface are the basis for calculating albedo, vegetation indices, and other terrestrial attributes. However, the "bi-directional" geometry of illumination and viewing (i.e., the Bi-directional Reflectance Distribution Function (BRDF)) impacts reflectance and all variables derived or estimated based on these data. The recently released MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) dataset enables retrieval of directional reflectance at arbitrary solar and viewing angles, potentially increasing precision and comparability of data collected under different illumination and observation geometries. We quantified the ability of MCD43A1 Collection 6 for retrieving directional reflectance and compared the daily Collection 6 retrievals to those of MCD43A1 Collection 5, which are retrieved on an eight-day basis. Correcting MODIS-based estimates of surface reflectance from the illumination and viewing geometry of the Terra satellite (MOD09GA) to that of the MODIS Aqua (MYD09GA) overpass, as well as MCD43A4 Collection 6 and Landsat-5 TM images show that the BRDF correction of MCD43A1 Collection 6 results in greater consistency among datasets, with higher R 2 (0.63-0.955), regression slopes closer to unity (0.718-0.955), lower root mean squared difference (RMSD) (0.422-3.142), and lower mean absolute error (MAE) (0.282-1.735) compared to the Collection 5 data. Smaller levels of noise (observed as high-frequency variability within the time series) in MCD43A1 Collection 6 in comparison to Collection 5 corroborates the improvement of BRDF parameters time series. These results corroborates that the daily MCD43A1 Collection 6 product represents the anisotropy of surface features and results in more precise directional reflectance derivation at any solar and viewing geometry than did the previous Collection 5.

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“…또한 기후 및 대기 모델링 연구에서는 지면경계 조건 자료로 이용되고 있어 정확한 토지피복 분류 자료 의 중요성이 점점 증대되고 있다 (Sellers et al, 1995;Chase et al, 2000).…”

Section: 서 론unclassified

Characteristics of MODIS land-cover data sets over Northeast Asia for the recent 12 years(2001-2012)

Park¹,

Suh²

2014

Korean Journal of Remote Sensing

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:In this study, we investigated the statistical occupations and interannual variations of land cover types over Northeast Asian region using the 12 years (2001-2012) MODerate Resolution Imaging Spectroradiometer(MODIS) land cover data sets. The spatial resolution and land cover types of MODIS land cover data sets are 500 m and 17, respectively. The 12-year average shows that more than 80% of the analysis region is covered by only 3 types of land cover, cropland (36.96%), grasslands (23.14%) and mixed forests (22.97%). Whereas, only minor portion is covered by cropland/natural vegetation mosaics (6.09%), deciduous broadleaf forests (4.26%), urban and built-up (2.46%) and savannas (1.54%). Although sampling period is small, the regression analysis showed that the occupations of evergreen needleleaf forests, deciduous broadleaf forests and mixed forests are increasing but the occupations of woody savannas and savannas are decreasing. In general, the pixels where the land cover types are classified differently with year are amount to more than 10%. And the interannual variations in the occupations of land cover types are most prominent in cropland (1.41%), mixed forests (0.82%) and grasslands (0.73%). In addition, the percentage of pixels classified as 1 type for 12 years is only 57% and the other pixels are classified as more than 2 types, even 9 types. The annual changes in the classification of land cover types are mainly occurred at the almost entire region, except for the eastern and northwestern parts of China, where the single type of land cover located. When we take into consider the time scale needed for the land cover changes, the results indicate that the MODIS land cover data sets over the Northeast Asian region should be used with caution.

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Remote sensing of the land surface for studies of global change: Models — algorithms — experiments

Cited by 289 publications

References 30 publications

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval

Characteristics of MODIS land-cover data sets over Northeast Asia for the recent 12 years(2001-2012)

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