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ndvi-lst-tvdi-spike-count

Pair NDVI and LST rasters by date to compute TVDI spike counts.

Updated Apr 2, 2026
Search Tags:#time-series#lst#spikes#remote-sensing#drought#ndvi#t-v-d-i
One-click install
npx skills add https://github.com/DECORATOR0/project_skills-3.18dhc-19.40 --skill ndvi-lst-tvdi-spike-count
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ndvi-lst-tvdi-spike-count
Source: https://github.com/DECORATOR0/project_skills-3.18dhc-19.40/tree/main/skill_library/ndvi-lst-tvdi-spike-count
Command: npx skills add https://github.com/DECORATOR0/project_skills-3.18dhc-19.40 --skill ndvi-lst-tvdi-spike-count

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps automate the analysis of drought-related spikes by pairing NDVI and LST imagery to produce TVDI rasters, compute per-date means, and count spikes across a time series.

Core Features & Use Cases

  • Automated TVDI spike counting: match NDVI and LST by date to generate TVDI and derive a time-series of mean values.
  • Time-series analytics: identify and quantify drought-event spikes for agricultural monitoring and climate studies.
  • Use Case: Given a dataset with monthly NDVI/LST rasters, generate a spike-count metric to track drought intensity over time.

Quick Start

Provide a data_dir containing paired NDVI and LST rasters and run the workflow to output per-date TVDI spike counts.

Frequently Asked Questions about ndvi-lst-tvdi-spike-count

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I count drought spikes from NDVI and LST time-series rasters?▼

To count drought spikes from NDVI and LST rasters, pair same-date files by matching shared YYYY-MM-DD tokens, compute TVDI rasters per date, derive mean TVDI values, and apply a spike-counting algorithm to the resulting time series.

What is TVDI and how is it used for drought monitoring?▼

TVDI is a drought index derived from pairing NDVI and LST remote-sensing imagery. Computing TVDI across multiple dates produces a time series that identifies drought-event spikes for agricultural monitoring and climate trend analysis.

How do I pair NDVI and LST raster files by date for time-series analysis?▼

Pair NDVI and LST rasters by matching shared YYYY-MM-DD date tokens in their fully qualified file paths. The workflow requires both rasters to have matching date stamps to correctly compute per-date TVDI values.

Can I use this TVDI workflow for monthly drought trend analysis?▼

Yes, this workflow processes multi-date datasets with date-stamped NDVI and LST rasters to generate a mean-based TVDI time series. It outputs drought-spike counts specifically suited for tracking drought intensity and trends over time.

Does the TVDI spike-counting workflow preserve null values in raster data?▼

Yes, the TVDI computation and spike-counting workflow explicitly preserves nulls in the input NDVI and LST rasters. This ensures missing data values do not incorrectly skew the mean TVDI time series or the resulting drought spike counts.

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