Developing Land Surface Directional Reflectance and Albedo Products from Geostationary GOES-R and Himawari Data: Theoretical Basis, Operational Implementation, and Validation

Remote sensing of earth’s energy budget: synthesis and review

(2019) Shunlin Liang et al.   International Journal of Digital Earth

Validation of reference evapotranspiration from Meteosat Second Generation (MSG) observations

(2018) Isabel F. Trigo et al.   AGRICULTURAL AND FOREST METEOROLOGY

A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8

(2018) Xing Yan et al.   ATMOSPHERIC RESEARCH

Estimation of all-sky instantaneous surface incident shortwave radiation from Moderate Resolution Imaging Spectroradiometer data using optimization method

(2018) Yi Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Evaluating land surface albedo estimation from Landsat MSS, TM, ETM +, and OLI data based on the unified direct estimation approach

(2018) Tao He et al.   REMOTE SENSING OF ENVIRONMENT

Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products

(2018) Zhuosen Wang et al.   REMOTE SENSING OF ENVIRONMENT

Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data

(2018) Lu She et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Land Surface Albedo Derived on a Ten Daily Basis from Meteosat Second Generation Observations: The NRT and Climate Data Record Collections from the EUMETSAT LSA SAF

(2018) Dominique Carrer et al.   Remote Sensing

A New Method for Retrieving Daily Land Surface Albedo From VIIRS Data

(2017) Dongdong Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Characterization of Bias of Advanced Himawari Imager Infrared Observations from NWP Background Simulations Using CRTM and RTTOV

(2016) X. Zou et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY

Assessment of the Suomi NPP VIIRS Land Surface Albedo Data Using Station Measurements and High-Resolution Albedo Maps

(2016) Yuan Zhou et al.   Remote Sensing

Analysis of global land surface albedo climatology and spatial-temporal variation during 1981-2010 from multiple satellite products

(2014) Tao He et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

(2013) Shunlin Liang et al.   International Journal of Digital Earth

Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods

(2013) Zhuosen Wang et al.   REMOTE SENSING OF ENVIRONMENT

Land Surface Albedo from Geostationary Satelites: A Multiagency Collaboration within SCOPE-CM

(2012) Alessio Lattanzio et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network

(2012) Alessandro Cescatti et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of surface albedo and directional reflectance from Moderate Resolution Imaging Spectroradiometer (MODIS) observations

(2012) Tao He et al.   REMOTE SENSING OF ENVIRONMENT

Rapid response flood detection using the MSG geostationary satellite

(2011) Simon Richard Proud et al.   International Journal of Applied Earth Observation and Geoinformation

Improvement of cloud detection near sunrise and sunset by temporal-differencing and region-growing techniques with real-time SEVIRI

(2010) M. Derrien et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Joint retrieval of surface reflectance and aerosol optical depth from MSG/SEVIRI observations with an optimal estimation approach: 1. Theory

(2010) Y. M. Govaerts et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Atmospheric Correction at AERONET Locations: A New Science and Validation Data Set

(2009) Yujie Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Land Surface Albedo Derived on a Daily Basis From Meteosat Second Generation Observations

(2008) Bernhard Geiger et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING