2026-10-15T23:31:59Z https://data.mendeley.com/oai

oai:data.mendeley.com/ht4nd95bxv.1 2026-10-08T11:29:48Z

Hao, Yuanyuan UAV-derived NDVI and land surface temperature products, ground-measured soil moisture data, and processing code for alpine grasslands Mendeley Data This dataset provides UAV-derived vegetation and temperature products, ground-measured soil moisture observations, and Python processing scripts associated with the study “Cross-scale retrieval of surface soil moisture content in alpine grasslands: Conditional gains from UAV sub-pixel heterogeneity and regional mapping with Landsat”. The deposited files include: 1. UAV-NDVI.zip: UAV-derived normalized difference vegetation index (NDVI) products. 2. UAV-LST.zip: UAV-derived land surface temperature (LST) products. 3. ground_soil_moisture_points.csv: Ground observations containing site identifiers, longitude, latitude, and measured volumetric soil water content (Measured_VWC). 4. SSMC_submission_code.zip: Python scripts and supporting documentation for UAV processing, soil moisture calibration, heterogeneity extraction, regional modeling, and validation. The NDVI and LST files are processed products. Original UAV source images are not included. The deposited products support downstream analyses but do not enable independent reproduction of the image-to-NDVI/LST preprocessing steps without the original imagery. Soil Science Remote Sensing Dataset doi:10.17632/ht4nd95bxv.1 oai:data.mendeley.com/ht4nd95bxv.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/ht4nd95bxv 2026-10-08T11:29:48Z