Contact person: Business Client

Phone:Show

Email:Show

Location: Arzew, Algeria

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a streamlined workflow that pulls fresh Landsat 8 scenes, computes NDVI in Python, and pushes the results to a web-based dashboard. When the index shows a significant drop, an n8n scenario should automatically send an alert so I can react before yield is affected.

Scope
• Build a Python script (or small package) that fetches and pre-processes the most recent, cloud-filtered Landsat 8 imagery for my fields.
• Calculate NDVI for every new scene, store the outputs, and expose them through an API or lightweight database that the front-end can query.
• Configure an n8n workflow that watches the NDVI values, applies a threshold I provide, and fires an email / webhook alert when crop health declines.
• Deliver an interactive map-based dashboard—open-source stack is fine—that overlays current and historical NDVI so trends are clear at a glance.

I already use Python, n8n, and simple leaflet-style maps elsewhere in my operation, so please stay within that toolset unless you have a strong reason to recommend an alternative.

To help me choose quickly, send links or screenshots of past work on remote-sensing pipelines, crop monitoring, or similar automation tasks—code snippets or live demos are ideal.

Looking forward to getting this running soon." (client-provided description)