ndvi-lst-tvdi-annual-trend
CommunityTrack annual dryness trends from NDVI-LST data.
AuthorDECORATOR0
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill computes annual dryness trend from NDVI and LST raster time series by pairing filenames by date, generating TVDI rasters, averaging TVDI within each available year, extracting yearly means, and fitting a linear trend.
Core Features & Use Cases
- Pair NDVI and LST time-series rasters by date tokens and generate TVDI rasters.
- Group TVDI outputs by year; for each available year, call calculate_tif_average and then extract yearly means.
- Compute a linear trend across years to indicate changes in dryness or wetness over time.
Quick Start
Supply the data_dir and file_list for NDVI/LST files and run the batched compute_tvdi workflow to produce yearly TVDI means and the final trend.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ndvi-lst-tvdi-annual-trend Download link: https://github.com/DECORATOR0/project_skills-3.18dhc-19.40/archive/main.zip#ndvi-lst-tvdi-annual-trend Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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