Remote sensing ≈ Remote sensing
View article: Google Earth Engine: Planetary-scale geospatial analysis for everyone
Google Earth Engine: Planetary-scale geospatial analysis for everyone Open
El presente artículo evidencia principalmente los beneficios de la plataforma Google Earth Engine para el análisis a nivel planetario del clima y la superficie de la tierra. El catálogo de varios petabytes de imágenes satelitales, con un r…
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The<i>Gaia</i>mission Open
Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging app…
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SoilGrids250m: Global gridded soil information based on machine learning Open
This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard numeric soil p…
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SECOND: Sparsely Embedded Convolutional Detection Open
LiDAR-based or RGB-D-based object detection is used in numerous applications, ranging from autonomous driving to robot vision. Voxel-based 3D convolutional networks have been used for some time to enhance the retention of information when …
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DOTA: A Large-Scale Dataset for Object Detection in Aerial Images Open
Object detection is an important and challenging problem in computer vision. Although the past decade has witnessed major advances in object detection in natural scenes, such successes have been slow to aerial imagery, not only because of …
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The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019 Open
Land cover (LC) determines the energy exchange, water and carbon cycle between Earth's spheres. Accurate LC information is a fundamental parameter for the environment and climate studies. Considering that the LC in China has been altered d…
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Interferometry and Synthesis in Radio Astronomy Open
This book is open access under a CC BY-NC 4.0 license. The third edition of this indispensable book in radio interferometry provides extensive updates to the second edition, including results and technical advances from the past decade; di…
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Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications Open
Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor, and growth dynamics, among other applications. These in…
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<i>ISOLDE</i>: a physically realistic environment for model building into low-resolution electron-density maps Open
This paper introduces ISOLDE , a new software package designed to provide an intuitive environment for high-fidelity interactive remodelling/refinement of macromolecular models into electron-density maps. ISOLDE combines interactive molecu…
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The HITRAN2020 molecular spectroscopic database Open
The HITRAN database is a compilation of molecular spectroscopic parameters. It was established in the early 1970s and is used by various computer codes to predict and simulate the transmission and emission of light in gaseous media (with a…
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Graph-based approach for airborne light detection and ranging segmentation Open
We evaluate 179 classifiers arising from 17 families (discriminant analysis, Bayesian, neural networks, support vector machines, decision trees, rule-based classifiers, boosting, bagging, stacking, random forests and other ensembles, gener…
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SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty Open
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models. It takes as inputs soil observations from abou…
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Optical Communication in Space: Challenges and Mitigation Techniques Open
—In recent years, free space optical (FSO) \ncommunication has gained significant importance owing to \nits unique features: large bandwidth, license free spectrum, high \ndata rate, easy and quick deployability, less power and low \nmass …
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HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification Open
Hyperspectral image (HSI) classification is widely used for the analysis of\nremotely sensed images. Hyperspectral imagery includes varying bands of images.\nConvolutional Neural Network (CNN) is one of the most frequently used deep\nlearn…
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A high‐accuracy map of global terrain elevations Open
Spaceborne digital elevation models (DEMs) are a fundamental input for many geoscience studies, but they still include nonnegligible height errors. Here we introduce a high‐accuracy global DEM at 3″ resolution (~90 m at the equator) by eli…
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The collection 6 MODIS active fire detection algorithm and fire products Open
The two Moderate Resolution Imaging Spectroradiometer (MODIS) instruments, on-board NASA's Terra and Aqua satellites, have provided more than a decade of global fire data. Here we describe improvements made to the fire detection algorithm …
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The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation Open
The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), updates NASA’s previous satellite-era (1980 onward) reanalysis system to include additional observations and improvements to the Goddard Earth Observ…
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Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine Open
Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in th…
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An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites Open
Himawari-8/9—a new generation of Japanese geostationary meteorological satellites-carry state-of-the-art optical sensors with significantly higher radiometric, spectral, and spatial resolution than those previously available in the geostat…
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A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing Open
The Normalized Difference Vegetation Index (NDVI), one of the earliest remote sensing analytical products used to simplify the complexities of multi-spectral imagery, is now the most popular index used for vegetation assessment. This popul…
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An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation Open
Separating point clouds into ground and non-ground measurements is an essential step to generate digital terrain models (DTMs) from airborne LiDAR (light detection and ranging) data. However, most filtering algorithms need to carefully set…
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The first high-resolution meteorological forcing dataset for land process studies over China Open
The China Meteorological Forcing Dataset (CMFD) is the first high spatial-temporal resolution gridded near-surface meteorological dataset developed specifically for studies of land surface processes in China. The dataset was made through f…
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ITRF2014: A new release of the International Terrestrial Reference Frame modeling nonlinear station motions Open
For the first time in the International Terrestrial Reference Frame (ITRF) history, the ITRF2014 is generated with an enhanced modeling of nonlinear station motions, including seasonal (annual and semiannual) signals of station positions a…
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Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting Open
Spatial-temporal network data forecasting is of great importance in a huge amount of applications for traffic management and urban planning. However, the underlying complex spatial-temporal correlations and heterogeneities make this proble…
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Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements Open
The Aerosol Robotic Network (AERONET) has provided highly accurate, ground-truth measurements of the aerosol optical depth (AOD) using Cimel Electronique Sun–sky radiometers for more than 25 years. In Version 2 (V2) of the AERONET database…
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Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery Open
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a f…
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The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation Open
The Ice, Cloud, and land Elevation Satellite (ICESat) mission used laser altimetry measurements to determine changes in elevations of glaciers and ice sheets, as well as sea ice thickness distribution. These measurements have provided impo…
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The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra Open
This paper documents the 16th data release (DR16) from the Sloan Digital Sky Surveys (SDSS), the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the Southern Hemisphere survey of the Apache Po…
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Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network Open
Recent research has shown that using spectral–spatial information can considerably improve the performance of hyperspectral image (HSI) classification. HSI data is typically presented in the format of 3D cubes. Thus, 3D spatial filtering n…
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An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence Open
We assess evidence relevant to Earth's equilibrium climate sensitivity per doubling of atmospheric CO 2 , characterized by an effective sensitivity S . This evidence includes feedback process understanding, the historical climate record, a…