ISSN: 2150-704X

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Remote Sensing Letters Q3 Unclaimed

Taylor and Francis Ltd. United Kingdom

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Remote Sensing Letters is a journal indexed in SJR in Earth and Planetary Sciences (miscellaneous) and Electrical and Electronic Engineering with an H index of 61. It has a price of 2395 €. It has an SJR impact factor of 0,369 and it has a best quartile of Q3. It has an SJR impact factor of 0,369.

Type: Journal

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Publication frecuency: -

Categories: Earth and Planetary Sciences (miscellaneous) (Q3) Electrical and Electronic Engineering (Q3)

Price

2395 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

0,369

SJR Impact factor

61

H Index

119

Total Docs (Last Year)

371

Total Docs (3 years)

2459

Total Refs

612

Total Cites (3 years)

371

Citable Docs (3 years)

1.66

Cites/Doc (2 years)

20.66

Ref/Doc

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Australian Journal of Earth Sciences Q3

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Aims and Scope

Best articles by citations

MNDISI: a multi-source composition index for impervious surface area estimation at the individual city scale

Mapping forest functional type in a forest-shrubland ecotone using SPOT imagery and predictive habitat distribution modelling

The effect of TLS point cloud sampling on tree detection and diameter measurement accuracy

A TerraSAR-X InSAR study of landslides in southern Kyrgyzstan, Central Asia

On the prediction of storm surges during super cyclone Phailin using a deterministic ensemble Kalman filter

Combining a single shot multibox detector with transfer learning for ship detection using sentinel-1 SAR images

Thematic information content assessment of the ASTER GDEM: a case study of watershed delineation in West Java, Indonesia

Radiometric calibration of a dual-wavelength terrestrial laser scanner using neural networks

Estimation of signal-dependent and -independent noise from hyperspectral images using a wavelet-based superpixel model

A comparison between three surface type data sets adopted by the community radiative transfer model

Kernel-based extreme learning machine for remote-sensing image classification

The interacting effects of image acquisition date, number of images, classifier, and number of training samples on accuracy of binary classification of impervious cover

SHOW MORE ARTICLES

Real-time terrain classification using ICESat/GLAS data over Beijing area

Independent component analysis of MODIS-NDVI data in a large South American wetland

Evaluation of multi-temporal and multi-sensor atmospheric correction strategies for land-cover accounting and monitoring in Ireland

Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia

Evaluating the applicability of BRISK for the geometric registration of remote sensing images

Preliminary investigation of FengYun-3C Microwave Temperature Sounder (MWTS) measurements

Detection of crevasses by geomorphometric treatment of data from unmanned aerial surveys

Geometrical characteristics of desert dust layers over Thessaloniki estimated with backscatter/Raman lidar and the BSC/DREAM model

Remote sensing image scene classification based on generative adversarial networks

Forecasting wheat yield in Punjab state of India by combining crop simulation model WOFOST and remotely sensed inputs

Accuracy assessment of the levee lines generated using lidar data acquired in the Nakdong River basins, South Korea

Fusion-based approach to change detection to reduce the effect of the trade-off parameter in the active contour model