Automate satellite data analysis and regulatory reporting with GPT-4 and Slack — n8n ワークフロー
概要
How It Works This workflow automates satellite data processing by ingesting raw geospatial data, applying AI analysis, and submitting formatted reports to regulatory authorities. Designed for environmental agencies, research institutions, and compliance teams, it solves the challenge of manually processing large satellite datasets and preparing standardized submissions for government agencies. The system triggers on scheduled intervals or event webhooks, fetching satellite imagery and sensor dat
使用ノード
ワークフロープレビュー
仕組み
- 1
トリガー
このワークフローは スケジュール トリガーで開始します、定義されたスケジュールで実行。
- 2
処理
データは 22 個のノードを流れます, connecting agent, code, emailsend。
- 3
出力
ワークフローは自動化を完了し、設定された宛先に結果を配信します。
ノード詳細 (22)
Send Email
emailSend
HTTP Request
httpRequest
Postgres
postgres
Slack
slack
Code
code
AI Agent
n8n-nodes-langchain.agent
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Structured Output Parser
n8n-nodes-langchain.outputParserStructured
このワークフローのインポート方法
- 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
- 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
- 3ダウンロードした
automate-satellite-data-analysis-and-regulatory-reporting-with-gpt-4-and-slackファイルを選択し、インポートをクリックします。 - 4各サービスノードの 認証情報（APIキー、OAuthなど）を設定します。
- 5ワークフローをテスト をクリックして動作確認し、有効化します。
またはn8nの JSONからインポート に直接貼り付け：
インテグレーション
作成者
Cheng Siong Chin
@cschin
タグ
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