Interannual Spatiotemporal Variations of Land Surface Temperature in China From 2003 to 2018
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Land surface temperature (LST) is a comprehensive embodiment of surface energy balance and land surface processes. The spatial and temporal variation of LST is of great significance for studying surface characteristics and climate change.
Yanru Yu +6 more
doaj +1 more source
International Journal of Applied Earth Observations and Geoinformation, 2021 Time-series Moderate Resolution Imaging Spectroradiometer (MODIS) gross primary productivity (GPP) has been served as an effective tool to assess the terrestrial carbon budget for the entire globe since 2000.
Xinyao Xie +5 more
doaj +1 more source
Assessment of the potential of MERIS near-infrared water vapour products to correct ASAR interferometric measurements [PDF]
, 2006 Atmospheric water vapour is a major limitation for high precision Interferometric Synthetic Aperture Radar (InSAR) applications due to its significant impact on microwave signals.
Albert, P. +5 more
core +1 more source
Algorithms for Moderate Resolution Imaging Spectroradiometer cloud-free image compositing [PDF]
Journal of Applied Remote Sensing, 2013 The presence of clouds is the biggest obstacle in the investigation of land cover, and many techniques have been developed to detect clouds. However, few indicators have been proposed for the detection of cloud-free conditions. To address this, we propose two indicators for use in compositing 8-day cloud-free images: the B 1/7 ratio is the ratio ...
openaire +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Monitoring of total suspended matter (TSM) concentration in the coastal waters is vital for water quality monitoring and coastal management. In this study, TSM over the highly dynamic Hooghly estuary region is derived using moderate resolution imaging ...
Chiranjivi Jayaram +4 more
doaj +1 more source
Asian Journal of Atmospheric Environment, 2018 The operational aerosol retrieval algorithm for the Moderate Resolution Imaging Spectroradiometer (MODIS) measurements was recently updated and named collection 6 (C6). The C6 MODIS aerosol algorithm, a substantially improved version of the collection 5 (
Kwon-Ho Lee
doaj +1 more source
MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis
Aerosol and Air Quality Research, 2021 A Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical thickness inversion algorithm has been rapidly developed in recent years, forming various representative aerosol optical thickness remote sensing products.
Yulong He +3 more
doaj +1 more source
Retrieval of the optical properties of tropospheric aerosols over Athens, Greece combining a 6-wavelength Raman-lidar and the CALIPSO VIS-NIR lidar system: Case-study analysis of a Saharan dust intrusion over the Eastern Mediterranean [PDF]
, 2007 The National Technical University of Athens (NTUA) 6-wavelength (355, 387, 407, 532, 607 and 1064 nm) Raman lidar system has been used to derive the aerosol optical properties (e.g. the lidar ratio, the aerosol backscatter and extinction profile) and the
Chourdakis, Giorgos +2 more
core +2 more sources
Retrieving surface parameters for climate models from Moderate Resolution Imaging Spectroradiometer (MODIS)‐Multiangle Imaging Spectroradiometer (MISR) albedo products [PDF]
Journal of Geophysical Research: Atmospheres, 2007 We present a computer‐efficient software package enabling us to assimilate operational remote‐sensing flux products into a state‐of‐the‐art two‐stream radiation transfer scheme suitable for climate models. This package implements the adjoint and Hessian codes, generated using automatic differentiation techniques, of a cost function balancing (1) the ...
B. Pinty +9 more
openaire +1 more source
A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land [PDF]
, 2017 Cloud and Aerosol Imager (CAI) onboard the Greenhouse Gases Observing Satellite (GOSAT) is a multi-band sensor designed to observe and acquire information on clouds and aerosols.
Chittenden, Anthony +7 more
core +5 more sources