{"id":8682,"date":"2025-11-27T07:02:22","date_gmt":"2025-11-27T07:02:22","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/27\/risats-silent-promise-decoding-disasters-with-synthetic-aperture-radar\/"},"modified":"2025-11-27T07:02:22","modified_gmt":"2025-11-27T07:02:22","slug":"risats-silent-promise-decoding-disasters-with-synthetic-aperture-radar","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/27\/risats-silent-promise-decoding-disasters-with-synthetic-aperture-radar\/","title":{"rendered":"RISAT\u2019s Silent Promise: Decoding Disasters with Synthetic Aperture Radar"},"content":{"rendered":"<p>    RISAT\u2019s Silent Promise: Decoding Disasters with Synthetic Aperture Radar<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>The high-resolution physics turning  microwave echoes into real-time flood intelligence<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/risats-silent-promise-decoding-disasters-with-synthetic-aperture-radar\/\">RISAT\u2019s Silent Promise: Decoding Disasters with Synthetic Aperture Radar<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Aakash Goswami<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/risats-silent-promise-decoding-disasters-with-synthetic-aperture-radar\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>RISAT\u2019s Silent Promise: Decoding Disasters with Synthetic Aperture Radar The high-resolution physics turning microwave echoes into real-time flood intelligence The post RISAT\u2019s Silent Promise: Decoding Disasters with Synthetic Aperture Radar appeared first on Towards Data Science. Aakash Goswami Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,69,3118,83,464,70,3884],"tags":[4303,4301,4302],"class_list":["post-8682","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-artificial-intelligence","category-climate-change","category-data-science","category-geospatial","category-machine-learning","category-remote-sensing","tag-promise","tag-risat","tag-silent"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8682"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=8682"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8682\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8682"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8682"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}