{"id":206,"date":"2020-01-29T15:50:00","date_gmt":"2020-01-29T14:50:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=206"},"modified":"2023-05-18T22:11:51","modified_gmt":"2023-05-18T20:11:51","slug":"wolken-und-schattenerkennung-in-der-landwirtschaft","status":"publish","type":"post","link":"https:\/\/geopard.tech\/de\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"Wolken- und Schattenerkennung in der Landwirtschaft"},"content":{"rendered":"<p class=\"has-text-align-left wp-block-paragraph\">Die Erkennung von Wolken und Schatten ist eine der wichtigsten Aufgaben bei analytischen Fernerkundungsl\u00f6sungen.<\/p>\r\n\r\n\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<p class=\"wp-block-paragraph\">Selbst wenn das gesamte Satellitenbild 90%-frei ist, besteht eine Wahrscheinlichkeit von 10%, dass Ihr Feld von Wolken oder Schatten bedeckt ist. Umgekehrt gilt: Viele Systeme verarbeiten keine Bilder mit Wolken oberhalb von 70% \u2013 die verbleibenden 30% k\u00f6nnen dem Agronomen oder Landwirt jedoch helfen, w\u00e4hrend der Saison die richtige Entscheidung zu treffen.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Bei GeoPard l\u00f6sen wir dieses Problem mithilfe mehrerer Machine-Learning-Algorithmen, die mit sehr hoher Genauigkeit arbeiten.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"213\" data-permalink=\"https:\/\/geopard.tech\/de\/blog\/cloud-and-shadow-detection-in-agriculture\/image-11\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-11.png?fit=1200%2C597&amp;ssl=1\" data-orig-size=\"1200,597\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"The determination of clouds and cloud shadows\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-11.png?fit=1024%2C509&amp;ssl=1\" class=\"aligncenter wp-image-213 size-full\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-11.png?resize=810%2C403&#038;ssl=1\" alt=\"Die Bestimmung von Wolken und Wolkenschatten\" width=\"810\" height=\"403\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-11.png?w=1200&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-11.png?resize=300%2C149&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-11.png?resize=1024%2C509&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-11.png?resize=768%2C382&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<p class=\"wp-block-paragraph\">Wir definieren eine Wolkenmaske und eine Schattenmaske auf Ebene des gesamten Bildes und betrachten f\u00fcr jedes Feld-Bild-Paar, welcher Prozentsatz des Feldes von Wolken oder Schatten der Wolken bedeckt ist.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Bei der automatischen Analyse werden f\u00fcr ein bestimmtes Feld ausschlie\u00dflich vollst\u00e4ndig wolkenfreie Bilder verwendet, sodass der Benutzer auf der Grundlage mehrj\u00e4hriger Analysen fundierte Entscheidungen treffen kann.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Der GeoPard-Nutzer hat die M\u00f6glichkeit, die Analysen selbst einzusehen und sogar selbst auszuf\u00fchren, auch bei teilweise bew\u00f6lkten Bildern.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"210\" data-permalink=\"https:\/\/geopard.tech\/de\/blog\/cloud-and-shadow-detection-in-agriculture\/image-9-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-9.png?fit=920%2C673&amp;ssl=1\" data-orig-size=\"920,673\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"define a cloud mask and a shadow mask\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-9.png?fit=920%2C673&amp;ssl=1\" class=\"aligncenter wp-image-210 size-full\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-9.png?resize=810%2C593&#038;ssl=1\" alt=\"Eine Wolkenmaske und eine Schattenmaske definieren\" width=\"810\" height=\"593\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-9.png?w=920&amp;ssl=1 920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-9.png?resize=300%2C219&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-9.png?resize=768%2C562&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<p class=\"wp-block-paragraph\">Dies kann beispielsweise w\u00e4hrend der Vegetationsperiode sehr n\u00fctzlich sein, um die variable Ausbringung von Pflanzenschutzmitteln auf Basis des aktuellsten Satellitenbildes durchzuf\u00fchren, auf dem 101 TP3T der Feldfl\u00e4che unter Wolken liegen. Das bedeutet, dass die Entscheidung f\u00fcr 901 TP3T der Feldfl\u00e4che auf verifizierten Daten beruht.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Dar\u00fcber hinaus k\u00f6nnen GeoPard-Nutzer Quellbilder auf regionaler Ebene in der Nahinfrarotansicht \u00fcberpr\u00fcfen, was hilft, klares Land von Wolken und Schatten zu unterscheiden (siehe beigef\u00fcgtes Bild).<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Der Cloud-Filter befindet sich in der Benutzeroberfl\u00e4che im oberen Men\u00fc des Moduls \u201cSatelliten\u00fcberwachung\u201d (siehe beigef\u00fcgte Screenshots).<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"212\" data-permalink=\"https:\/\/geopard.tech\/de\/blog\/cloud-and-shadow-detection-in-agriculture\/image-10\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-10.png?fit=1200%2C769&amp;ssl=1\" data-orig-size=\"1200,769\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"geopard detected that field is partially located under clouds and shadows\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-10.png?fit=1024%2C656&amp;ssl=1\" class=\"aligncenter wp-image-212 size-full\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-10.png?resize=810%2C519&#038;ssl=1\" alt=\"Geopard hat festgestellt, dass das Feld teilweise von Wolken und Schatten bedeckt ist.\" width=\"810\" height=\"519\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-10.png?w=1200&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-10.png?resize=300%2C192&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-10.png?resize=1024%2C656&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-10.png?resize=768%2C492&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<p class=\"wp-block-paragraph\">Bedenken Sie, dass Unternehmen im Bereich der digitalen Landwirtschaft immer noch Schwierigkeiten mit der korrekten Erkennung von Wolken und Schatten haben k\u00f6nnen. Im beigef\u00fcgten Screenshot erstellt ein solches Unternehmen eine VR-D\u00fcngerkarte auf Basis von Wolken- und Schattendaten. Eine fehlerhafte Karte f\u00fchrt also letztendlich zu falschen agronomischen Entscheidungen und unerw\u00fcnschten Ergebnissen.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">GeoPard erkennt Wolken und Schatten mit hoher Genauigkeit und schl\u00e4gt nicht vor, Ihre Entscheidung f\u00fcr die variable Tarifrate auf der Grundlage von Wolken zu treffen. Sie k\u00f6nnen die Quellbilder jederzeit in verschiedenen Ansichten und Indizes betrachten und herauszoomen, um sich einen umfassenden \u00dcberblick zu verschaffen.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"214\" data-permalink=\"https:\/\/geopard.tech\/de\/blog\/cloud-and-shadow-detection-in-agriculture\/image-12\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-12.png?fit=1200%2C695&amp;ssl=1\" data-orig-size=\"1200,695\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"created VR fertilizer map based on clouds and shadows data\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-12.png?fit=1024%2C593&amp;ssl=1\" class=\"aligncenter wp-image-214 size-full\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-12.png?resize=810%2C469&#038;ssl=1\" alt=\"Erstellte eine VR-D\u00fcngemittelkarte basierend auf Wolken- und Schattendaten\" width=\"810\" height=\"469\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-12.png?w=1200&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-12.png?resize=300%2C174&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-12.png?resize=1024%2C593&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-12.png?resize=768%2C445&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p class=\"has-text-align-center wp-block-paragraph\">Nicht jede L\u00f6sung ist gleich gut, w\u00e4hlen Sie die beste Option, die auf dem Markt verf\u00fcgbar ist!<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"278\" data-attachment-id=\"217\" data-permalink=\"https:\/\/geopard.tech\/de\/blog\/cloud-and-shadow-detection-in-agriculture\/image-2-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?fit=1680%2C578&amp;ssl=1\" data-orig-size=\"1680,578\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"different spectral indices\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?fit=1024%2C352&amp;ssl=1\" class=\"wp-image-217\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?resize=810%2C278&#038;ssl=1\" alt=\"verschiedene Spektralindizes\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?resize=1024%2C352&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?resize=300%2C103&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?resize=768%2C264&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?resize=1536%2C528&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?resize=1200%2C413&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/image-2.webp?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\r\n<h2>Was ist Wolkenerkennung in der Pr\u00e4zisionslandwirtschaft?<\/h2>\r\n<p>Die Wolkenerkennung in der Pr\u00e4zisionslandwirtschaft bezeichnet den Prozess der Identifizierung und \u00dcberwachung der Wolkenbedeckung in landwirtschaftlichen Gebieten mithilfe von Fernerkundungstechnologien. Wolken k\u00f6nnen landwirtschaftliche Praktiken und die Ernteertr\u00e4ge erheblich beeinflussen, weshalb ihre Erkennung und Analyse f\u00fcr ein effektives Betriebsmanagement unerl\u00e4sslich sind.<\/p>\r\n<p>Dabei werden verschiedene Sensoren wie Satelliten, Drohnen oder bodengest\u00fctzte Instrumente eingesetzt, um Bilder von landwirtschaftlichen Fl\u00e4chen aufzunehmen. Diese Sensoren erfassen Daten in Form von sichtbarem und infrarotem Licht, die analysiert werden k\u00f6nnen, um das Vorhandensein und die Eigenschaften von Wolken zu bestimmen.<\/p>\r\n<p>Sein Hauptzweck in der Pr\u00e4zisionslandwirtschaft besteht darin, die r\u00e4umliche und zeitliche Verteilung von Wolken \u00fcber landwirtschaftlichen Fl\u00e4chen zu beurteilen.<\/p>\r\n<p>Diese Informationen helfen Landwirten und Agronomen, fundierte Entscheidungen hinsichtlich Bew\u00e4sserung, D\u00fcngung, Sch\u00e4dlingsbek\u00e4mpfung und anderer Anbaumethoden zu treffen. Durch das Verst\u00e4ndnis von Wolkenmustern k\u00f6nnen Landwirte die Ressourcennutzung optimieren und das Risiko von Erntesch\u00e4den oder Ertragseinbu\u00dfen minimieren.<\/p>\r\n<p>Wolkenerkennungsalgorithmen analysieren die aufgenommenen Bilder, um zwischen Wolkenpixeln und Nicht-Wolkenpixeln zu unterscheiden.<\/p>\r\n<p>Diese Algorithmen nutzen verschiedene Techniken, wie z. B. Schwellenwertverfahren, Spektralanalyse und maschinelles Lernen, um Wolkenformationen genau zu identifizieren und zu klassifizieren.<\/p>\r\n<p>Die Ausgabe der Algorithmen umfasst typischerweise den Prozentsatz der Wolkenbedeckung, die Klassifizierung der Wolkentypen und die Bewegungsmuster der Wolken.<\/p>\r\n<p>Sobald Wolken erkannt und ihre Eigenschaften bestimmt sind, k\u00f6nnen Landwirte diese Informationen nutzen, um Pr\u00e4zisionslandwirtschaftstechniken anzuwenden.<\/p>\r\n<p>Wird beispielsweise eine Wolke \u00fcber einem bestimmten Bereich eines Feldes festgestellt, k\u00f6nnen Landwirte die Bew\u00e4sserung oder den Einsatz von Pflanzenschutzmitteln in diesem Bereich verz\u00f6gern, bis die Wolke vor\u00fcbergezogen ist. Durch die Abstimmung der landwirtschaftlichen T\u00e4tigkeiten auf die Wolkenbewegungen k\u00f6nnen Landwirte die Ressourcennutzung optimieren und unn\u00f6tige Betriebsmittel minimieren.<\/p>\r\n<p>Dies ist besonders vorteilhaft in Regionen mit hoher Wolkenbedeckung oder schnell wechselnden Wetterverh\u00e4ltnissen. Durch die kontinuierliche \u00dcberwachung der Wolkenbedeckung k\u00f6nnen Landwirte ihre Anbaumethoden in Echtzeit an die aktuellen Wetterbedingungen anpassen.<\/p>\r\n<p>Zusammenfassend l\u00e4sst sich sagen, dass die Wolkenerkennung in der Pr\u00e4zisionslandwirtschaft eine entscheidende Rolle bei der Optimierung von Anbaumethoden und Ressourcenmanagement spielt. Durch die genaue Identifizierung und \u00dcberwachung der Wolkenbedeckung k\u00f6nnen Landwirte fundierte Entscheidungen treffen, um die Ernteertr\u00e4ge zu steigern, den Ressourcenverbrauch zu reduzieren und die Risiken wechselnder Wetterbedingungen zu minimieren.<\/p>","protected":false},"excerpt":{"rendered":"<p>Die Wolken- und Schattenerkennung ist eine der wichtigsten Aufgaben bei analytischen Fernerkundungsl\u00f6sungen. Wenn das gesamte Satellitenbild fehlerfrei ist (90%), dann\u2026<\/p>","protected":false},"author":210157960,"featured_media":1383,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1378],"tags":[1599],"class_list":["post-206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-remote-sensing","tag-remote-sensing"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - 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