Journal ArticleDOI
Object-based cloud and cloud shadow detection in Landsat imagery
Zhe Zhu,Curtis E. Woodcock +1 more
Reads0
Chats0
TLDR
The goal is development of a cloud and cloud shadow detection algorithm suitable for routine usage with Landsat images and as high as 96.4%.About:
This article is published in Remote Sensing of Environment.The article was published on 2012-03-15. It has received 1620 citations till now. The article focuses on the topics: Cloud top & Cloud fraction.read more
Citations
More filters
Journal ArticleDOI
An Effective Cloud Detection Method for Gaofen-5 Images via Deep Learning
TL;DR: A new dual-branch CNN architecture for cloud segmentation for GF-5 preview RGB images, termed a multiscale fusion gated network (MFGNet), which introduces pyramid pooling attention and spatial attention to extract both shallow and deep information.
Posted Content
Cloud Detection From RGB Color Remote Sensing Images With Deep Pyramid Networks
TL;DR: A deep pyramid network enhanced with a pre-trained parameter model at the encoder layer is adapted to tackle cloud detection from remotely observed data and outperforms several baselines even for hard cases (e.g. snowy mountains) that are perceptually difficult to distinguish by human eyes.
Journal ArticleDOI
Knowledge coproduction improves understanding of environmental change in the Ethiopian highlands
Cara Steger,Girma Nigussie,Michael Alonzo,Bikila Warkineh,Jamon Van Den Hoek,Mekbib Fekadu,Paul H. Evangelista,Julia A. Klein +7 more
TL;DR: In this paper, the causes and consequences of environmental change in a community-protected grassland and its surrounding landscape in the Ethiopian highlands were investigated using a multiple-evidence-based approach.
Journal ArticleDOI
Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions
TL;DR: The use of a genetic programming (GP) framework is investigated to discover an effective combination of time series similarity functions to be used in remote sensing classification tasks and demonstrated that the GP framework yields effective results when compared with the use of traditional widely used similarity functions in isolation.
Journal ArticleDOI
Compact Cloud Detection with Bidirectional Self-Attention Knowledge Distillation
TL;DR: This paper proposes a novel self-attention knowledge distillation approach for compact and accurate cloud detection, named Bidirectional Self-Attention Distillation (Bi-SAD), which lets a model learn from itself without adding additional parameters or supervision.
References
More filters
Book
Morphological Image Analysis: Principles and Applications
TL;DR: This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images.
Journal ArticleDOI
A Landsat surface reflectance dataset for North America, 1990-2000
Jeffrey G. Masek,Eric Vermote,Nazmi Saleous,Robert E. Wolfe,Forrest G. Hall,Karl F. Huemmrich,Feng Gao,J. Kutler,Teng-Kui Lim +8 more
TL;DR: Initial comparisons with ground-based optical thickness measurements and simultaneously acquired MODIS imagery indicate comparable uncertainty in Landsat surface reflectance compared to the standard MODIS reflectance product.
Journal ArticleDOI
Discriminating clear sky from clouds with MODIS
Steven A. Ackerman,Kathleen I. Strabala,W. Paul Menzel,Richard A. Frey,Christopher C. Moeller,Liam E. Gumley +5 more
TL;DR: The MODIS cloud mask algorithm as discussed by the authors uses several cloud detection tests to indicate a level of confidence that the MEDIS is observing clear skies, which is ancillary input to MEDIS land, ocean, and atmosphere science algorithms to suggest processing options.
Journal ArticleDOI
Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data
TL;DR: Zhang et al. as discussed by the authors used a more advanced NASA Goddard Institute for Space Studies (GISS) radiative transfer model and improved ISCCP cloud climatology and ancillary data sets.
Journal ArticleDOI
Spectral signature of alpine snow cover from the Landsat Thematic Mapper.
Jeff Dozier,Jeff Dozier +1 more
TL;DR: In this article, the spectral signatures of the Landsat TM images of the Sierra Nevada were analyzed to distinguish several classes of snow from other surface covers, and a number of TM images were used for automatic analysis of alpine snow cover.