Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects
The presence of clouds prevents optical satellite imaging systems from obtaining useful
Earth observation information and negatively affects the processing and application of …
Earth observation information and negatively affects the processing and application of …
[HTML][HTML] Estimating surface solar irradiance from satellites: Past, present, and future perspectives
Abstract Surface Solar Irradiance (SSI) is a key parameter dictating surface-atmosphere
interactions, driving radiative, hydrological, and land surface processes, and can thus …
interactions, driving radiative, hydrological, and land surface processes, and can thus …
UKESM1: Description and evaluation of the UK Earth System Model
AA Sellar, CG Jones, JP Mulcahy… - Journal of Advances …, 2019 - Wiley Online Library
We document the development of the first version of the UK Earth System Model UKESM1.
The model represents a major advance on its predecessor HadGEM2‐ES, with …
The model represents a major advance on its predecessor HadGEM2‐ES, with …
[HTML][HTML] Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6
H Tatebe, T Ogura, T Nitta, Y Komuro… - Geoscientific Model …, 2019 - gmd.copernicus.org
The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called
MIROC6, was cooperatively developed by a Japanese modeling community. In the present …
MIROC6, was cooperatively developed by a Japanese modeling community. In the present …
JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do)
We present a new surface-atmospheric dataset for driving ocean–sea-ice models based on
Japanese 55-year atmospheric reanalysis (JRA-55), referred to here as JRA55-do. The …
Japanese 55-year atmospheric reanalysis (JRA-55), referred to here as JRA55-do. The …
Cloud detection algorithm comparison and validation for operational Landsat data products
Clouds are a pervasive and unavoidable issue in satellite-borne optical imagery. Accurate,
well-documented, and automated cloud detection algorithms are necessary to effectively …
well-documented, and automated cloud detection algorithms are necessary to effectively …
[HTML][HTML] A cloud detection algorithm for satellite imagery based on deep learning
Reliable detection of clouds is a critical pre-processing step in optical satellite based remote
sensing. Currently, most methods are based on classifying invidual pixels from their spectral …
sensing. Currently, most methods are based on classifying invidual pixels from their spectral …
DABNet: Deformable contextual and boundary-weighted network for cloud detection in remote sensing images
In recent years, deep convolutional neural networks (DCNNs) have made significant
progress in cloud detection tasks, and the detection accuracy has been greatly improved …
progress in cloud detection tasks, and the detection accuracy has been greatly improved …
Continuous change detection and classification of land cover using all available Landsat data
Z Zhu, CE Woodcock - Remote sensing of Environment, 2014 - Elsevier
A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …
using all available Landsat data is developed. It is capable of detecting many kinds of land …
Object-based cloud and cloud shadow detection in Landsat imagery
Z Zhu, CE Woodcock - Remote sensing of environment, 2012 - Elsevier
A new method called Fmask (Function of mask) for cloud and cloud shadow detection in
Landsat imagery is provided. Landsat Top of Atmosphere (TOA) reflectance and Brightness …
Landsat imagery is provided. Landsat Top of Atmosphere (TOA) reflectance and Brightness …