Journal of Applied Remote Sensing

Papers
(The H4-Index of Journal of Applied Remote Sensing is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Forest stand segmentation with multi-temporal Sentinel-2 imagery and superpixels182
Comparison of convolutional neural network and support vector machine for identification of forest types and burned areas48
Statistical approach to electro-optic and infrared transmission within the atmosphere through empirical cumulative distributions via modeling, simulation, and data on a global scale44
Synthetic aperture radar ground target image generation based on improved Wasserstein generative adversarial networks with gradient penalty37
Evaluation of vicarious calibration for airborne sensors using RadCalNet26
Discriminating Robusta coffee (Coffea canephora) cropping systems using leaf-level hyperspectral data23
Advancement and demonstration of a perturbative retrieval technique for temperature profiling in the lower troposphere using differential absorption light detection and ranging21
Prediction of plant growth based on statistical methods and remote sensing data20
Open set domain adaptation based on multi-classifier adversarial network for hyperspectral image classification20
Robust generalized bilinear model with weighted low-rank representation for hyperspectral image unmixing18
Deep unsupervised adaptive attention network for hyperspectral image cross-region reconstruction17
Accuracy evaluation of UAS photogrammetry and structure from motion in 3D modeling and volumetric calculations16
Improving weed segmentation in sugar beet fields using potentials of multispectral unmanned aerial vehicle images and lightweight deep learning16
Stability evaluation at Xishan Loess landslide using InSAR technique applying ascending and descending SAR data15
Continual domain adaptation on aerial images under gradually degrading weather14
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