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ndvi-lst-tvdi-spike-count

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Count drought spikes from NDVI/LST TVDI series.

Data & Analytics#time-series#lst#spikes#remote-sensing#drought#ndvi#t-v-d-i
AuthorDECORATOR0
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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-spike-count
Download link: https://github.com/DECORATOR0/project_skills-3.18dhc-19.40/archive/main.zip#ndvi-lst-tvdi-spike-count

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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