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international journal of remote sensing

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scopus ulakbim sci
Short Name international journal of remote sensing
Abbreviated Name international journal of remote sensing
ISSN 0143-1161
Aim and Scope
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Publications Per Year

Recent Articles (30 total)

2017
Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales
Hall-Beyer, M.
Vol. 38 , pp. 1312-1338
303 views DOI
2019
Comparison of seasonal surface temperature trend, spatial variability, and elevation dependency from satellite-derived products and numerical simulations over the Tibetan Plateau from 2003 to 2011
Ouyang, X.
Vol. 40 , pp. 1844-1857
290 views DOI
2019
Combining multi-scale textural features from the panchromatic bands of high spatial resolution images with ANN and MLC classification algorithms to extract urban land uses
Saboori, M.
Vol. 40 , pp. 8608-8634
262 views DOI
2019
Integrating a scale-invariant feature of fractal geometry into the Hopfield neural network for super-resolution mapping
Su, Y.
Vol. 40 , pp. 8933-8954
251 views DOI
2019
Quantification of cell concentration in biofuel-important microalgae using hyperspectral reflectance and hyperspectral extinction coefficient
Zhou, Z.
Vol. 40 , pp. 8764-8792
239 views DOI
2019
A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations
Mei, L.
Vol. 40 , pp. 7084-7112
238 views DOI
2019
Discriminating native and plantation forests in a Landsat time-series for land use policy design
Nery, T.
Vol. 40 , pp. 4059-4082
234 views DOI
2020
Artificial neural networks for cloud masking of Sentinel-2 ocean images with noise and sunglint
Kristollari, V.
Vol. 41 , pp. 4102-4135
233 views DOI
2019
Integrating geostatistics and remote sensing for mapping the spatial distribution of cattle hoofprints in relation to malaria vector control
Malahlela, O.
Vol. 40 , pp. 5917-5937
233 views DOI
2019
Mapping bamboo with regional phenological characteristics derived from dense Landsat time series using Google Earth Engine
Zhang, M.
Vol. 40 , pp. 9541-9555
229 views DOI
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