2026-10-12T14:37:58Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33998077 2026-09-25T17:27:12Z category_1 category_4 category_14 category_272 category_39 category_734 category_106 portal_5 item_type_3 month_year_09_2026

<p>Geographic information of validation and training samples.</p> Zhijian Zhao (389825) Hui Lin (161703) Lei Wu (202933) Linling Tang (22149959) Xin Xiao (117295) Biophysics Biochemistry Molecular Biology Environmental Sciences not elsewhere classified Ecology Biological Sciences not elsewhere classified Science Policy integrating surface albedo induced chlorophyll fluorescence highest overall accuracy three models (< sif model demonstrated div >< p 8512 – 0 8289 – 0 sif model ’ extremely severe desertification sif model sif ). four models mcnemar ’ humanity ’ tibetan plateau test ). term survival sustainable development spatiotemporal variations significant threat shown signs related indicators past decade p </ kappa coefficient four vegetation four types dynamic monitoring comprehensive analysis complex due anthropogenic factors <p>Geographic coordinates of 400 validation points and 400 training samples used for accuracy assessment. Both sets were generated using stratified random sampling in ArcGIS 10.8.2 (<a href="https://www.esri.com/en-us/arcgis/" target="_blank">https://www.esri.com/en-us/arcgis/</a>), stratified by desertification grade (five classes) and ten major hydrological basins, with area-weighted allocation. The validation and training samples are spatially independent.</p> <p>(XLSX)</p> 2026-09-25T17:27:02Z Dataset Dataset 10.1371/journal.pone.0359348.s007 https://figshare.com/articles/dataset/_p_Geographic_information_of_validation_and_training_samples_p_/33998077 CC BY 4.0