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\u81ea\u7136\u707d\u5bb3\u8a55\u4fa1<\/strong><\/h3>\n\n\n\n

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\u8ab2\u984c\u3068\u691c\u8a0e\u4e8b\u9805<\/strong><\/h2>\n\n\n\n

\u885b\u661f\u30c7\u30fc\u30bf\u306e\u6642\u7cfb\u5217\u5206\u6790\u306f\u5f37\u529b\u3067\u3059\u304c\u3001\u6b21\u306e\u3088\u3046\u306a\u8ab2\u984c\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u30c7\u30fc\u30bf\u54c1\u8cea<\/strong>: \u885b\u661f\u753b\u50cf\u306e\u7cbe\u5ea6\u3068\u4e00\u8cab\u6027\u306f\u3001\u6642\u9593\u306e\u7d4c\u904e\u306b\u4f34\u3063\u3066\u91cd\u8981\u3067\u3059\u3002\u96f2\u91cf\u3001\u30bb\u30f3\u30b5\u30fc\u306e\u5909\u5316\u3001\u30c7\u30fc\u30bf\u5f62\u5f0f\u306e\u5909\u5316\u304c\u8ab2\u984c\u3068\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u8a08\u7b97\u30ea\u30bd\u30fc\u30b9<\/strong>: \u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u51e6\u7406\u3057\u3066\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001\u8a08\u7b97\u8ca0\u8377\u304c\u9ad8\u304f\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u9ad8\u6027\u80fd\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u3078\u306e\u30a2\u30af\u30bb\u30b9\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

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\u7d50\u8ad6<\/strong><\/h2>\n\n\n\n

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\u6642\u7cfb\u5217\u5206\u6790\u3068\u885b\u661f\u30c7\u30fc\u30bf\u306e\u529b\u3092\u6d3b\u7528\u3057\u305f\u3044\u7d44\u7e54\u306b\u306f\u3001AI\u3092\u642d\u8f09\u3057\u305f\u5f53\u793e\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0FlyPix AI\u304c\u5f79\u7acb\u3061\u307e\u3059\u3002FlyPix AI\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u6642\u9593\u306e\u7d4c\u904e\u306b\u4f34\u3046\u5909\u5316\u3092\u52b9\u7387\u7684\u306b\u76e3\u8996\u3057\u3001\u8cb4\u91cd\u306a\u6d1e\u5bdf\u3092\u5f97\u3066\u3001\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u610f\u601d\u6c7a\u5b9a\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002FlyPix AI\u306e\u6a5f\u80fd\u3092\u76f4\u63a5\u4f53\u9a13\u3059\u308b\u306b\u306f\u3001 \u304a\u554f\u3044\u5408\u308f\u305b<\/a> \u4eca\u3059\u3050\u30c7\u30e2\u3092\u30ea\u30af\u30a8\u30b9\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002 <\/p>","protected":false},"excerpt":{"rendered":"

In the realm of geospatial data analysis, the ability to capture and interpret changes over time is a powerful tool. Time-series analysis of satellite imagery is a valuable resource for exploring the ever-changing processes occurring on our planet. By gathering and scrutinizing images taken over various time periods we can unveil trends and patterns in various natural and man-made phenomena, including vegetation growth, sea level rise, and urban sprawl. In this article, we will explore how this technique works and its practical applications. What is Time-Series Analysis? Time-series analysis involves the collection and analysis of data points, such as satellite images, captured at consistent intervals over a specific period at […]<\/p>\n","protected":false},"author":1,"featured_media":155392,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-155391","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles"],"acf":[],"yoast_head":"\nFlypix - Time-Series Analysis of Satellite Data<\/title>\n<meta name=\"description\" content=\"When applied to satellite imagery, time-series analysis enables us to monitor changes in the Earth's surface over months, or even decades.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/flypix.ai\/ja\/blog\/time-series-analysis-of-satellite-data-unveiling-trends-and-patterns\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Flypix - 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