China’s annual forest age dataset at a 30-m spatial resolution from 1986 to 2022 by Rong Shang (17306089)

A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms by Xingan Chen (11334186)

Diagram of the proposed solution algorithm. by Vytautas Abromavičius (22008573)

Spatial distribution of 40 AmeriFlux FLUXNET sites used in this study. by Yeonuk Kim (4589488)

Flowchart of the implemented Pareto optimization algorithm. by Vytautas Abromavičius (22008573)

Supplementary file 1_Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway.pdf by Harald Zandler (12187328)

“…Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in surface velocities (<5 m/yr to >100 m/yr) and substantial changes in surface properties between image acquisitions. …”

Comparison of recognition rates for three algorithms at different SNRs. by Jiuxiao Cao (21594403)

Comparison of recognition rates for three algorithms at different SNRs. by Jiuxiao Cao (21594403)

<b>Data Availability</b> by Bonyad Ahmadi (20750327)

Data Sheet 1_Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China.pdf by Qiujie Chen (21644732)

Five-fold cross-validation results of CNN algorithm at different SNRs. by Jiuxiao Cao (21594403)

Five-fold cross-validation results of CNN algorithm at different SNRs. by Jiuxiao Cao (21594403)

Individual-Based Remote Sensing of Canopy Trees by James R. Kellner (9384822)

Five-fold cross-validation results of mulit-scale CNN algorithm at different SNRs. by Jiuxiao Cao (21594403)

Five-fold cross-validation results of mulit-scale GRU algorithm at different SNRs. by Jiuxiao Cao (21594403)

Five-fold cross-validation results of mulit-scale CNN algorithm at different SNRs. by Jiuxiao Cao (21594403)

Supplementary file 1_3D colored point cloud classification of a deep-sea cold-water coral and sponge habitat using geometric features and machine learning algorithms.docx by Salem Morsy (10840104)

“…Three unsupervised (k-means (KM), fuzzy c-means (FCM), and Gaussian mixture model (GMM)) and three supervised (decision tree (DT), random forest (RF), and linear discriminant analysis (LDA)) machine learning (ML) algorithms were compared and assessed for accuracy and reliability. …”

Five-fold cross-validation results of mulit-scale convolution GRU algorithm at different SNRs. by Jiuxiao Cao (21594403)

Visualization of learned features via t-SNE. by Song Wu (36667)

Supplementary file 1_Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study... by Jamshid Ali (20981393)

“…This research assesses the performance of the machine learning algorithms XGBoost, SVM, and RF using data from the Sentinel-2 and Landsat-9 satellites. …”