{"id":383245,"date":"2017-07-20T08:00:00","date_gmt":"2017-07-20T00:00:00","guid":{"rendered":"http:\/\/842d0235-3139-4589-a99a-89e820fd915d"},"modified":"2017-07-20T08:00:00","modified_gmt":"2017-07-20T00:00:00","slug":"usgs-now-archiving-redistributing-indian-resourcesat-data","status":"publish","type":"post","link":"https:\/\/people.utm.my\/asmawisham\/usgs-now-archiving-redistributing-indian-resourcesat-data\/","title":{"rendered":"USGS Now Archiving, Redistributing Indian Resourcesat Data"},"content":{"rendered":"<p>Release Date: <time class=\"release-date\" itemprop=\"releaseDate\" pubdate=\"pubdate\" datetime=\"2017-07-20 11:15:00\"><span class=\"date-display-single\">July 20, 2017<\/span><\/time><\/p>\n<div class=\"lead\" readability=\"10.236994219653\">\n<p>Resourcesat data that are important for understanding changes associated with agriculture, forestry, phenology, and other applications are now available in the <a href=\"https:\/\/eros.usgs.gov\/products-data-available\">USGS archive<\/a>.<\/p>\n<\/div>\n<div class=\"dnd-widget-wrapper context-float_left type-image\" readability=\"10\">\n<div class=\"dnd-atom-rendered\">\n<div class=\"field field-name-scald-thumbnail field-type-image field-label-hidden\">\n<div class=\"field-items\">\n<div class=\"field-item even\"><a href=\"https:\/\/www.usgs.gov\/media\/images\/satellite-image-las-vegas-lake-mead-grand-canyon-area\"><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/prd-wret.s3-us-west-2.amazonaws.com\/assets\/palladium\/production\/s3fs-public\/styles\/side_image\/public\/thumbnails\/image\/Resourcesat%20Las%20Vegas%20R2AWF06162017255044_l1t.png?itok=_ESvIPbP\" width=\"340\" height=\"244\" alt=\"Satellite image showing the Las Vegas, Lake Mead, Grand Canyon area \"\/><\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>This image of the Las Vegas \/Lake Mead \/ Grand Canyon area was acquired\u00a0June 16, 2017 with the Resourcesat-2\u00a0AWiFS sensor. Images of this region can help detect changes in vegetation and water availability for growing desert communities. (Public domain.)<\/p>\n<\/div>\n<p>An agreement\u00a0signed July 9, 2016, between the Indian Space Research Organization and USGS allows ISRO to receive and use Landsat 7 and 8 data over India, while USGS receives ISRO\u2019s Resourcesat-2 data collected over\u00a0the U.S.<\/p>\n<div class=\"dnd-widget-wrapper context-float_right type-image\" readability=\"9\">\n<div class=\"dnd-atom-rendered\">\n<div class=\"field field-name-scald-thumbnail field-type-image field-label-hidden\">\n<div class=\"field-items\">\n<div class=\"field-item even\"><a href=\"https:\/\/www.usgs.gov\/media\/images\/satellite-image-new-orleans-region\"><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/prd-wret.s3-us-west-2.amazonaws.com\/assets\/palladium\/production\/s3fs-public\/styles\/side_image\/public\/thumbnails\/image\/ResourceSat%20New%20Orleans.jpg?itok=47BHX_Pn\" width=\"340\" height=\"333\" alt=\"Satellite image showing New Orleans and Mississippi River delta\"\/><\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>This image of the New Orleans\/Lake Pontchartrain area was acquired March 31, 2017\u00a0from the LISS-3 sensor. Land loss and hurricane hazards are key landscape issues here.\u00a0(Public domain.)<\/p>\n<\/div>\n<p>Resourcesat-2 carries the Advanced Wide-Field sensors AWiFS A and B, and the Linear Imaging Self-Scanning sensors LISS-3 and LISS-4. Full U.S. coverage, including Hawaii and Alaska, is available from AWiFS and LISS-3.<\/p>\n<p>Resourcesat-2 operates in a sun-synchronous orbit 817 km (about 508 miles) above the Earth. It takes about 100 minutes to orbit the Earth once, and completes about 14 orbits per day. LISS-3, with its 140-km\u00a0swath, covers the entire Earth in a 24-day cycle. AWiFS, with its wider 740-km swath, covers Earth in 5 days.<\/p>\n<div class=\"dnd-widget-wrapper context-float_left type-image\" readability=\"12\">\n<div class=\"dnd-atom-rendered\">\n<div class=\"field field-name-scald-thumbnail field-type-image field-label-hidden\">\n<div class=\"field-items\">\n<div class=\"field-item even\"><a href=\"https:\/\/www.usgs.gov\/media\/images\/satellite-image-delaware-bay-and-chesapeake-bay-region\"><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/prd-wret.s3-us-west-2.amazonaws.com\/assets\/palladium\/production\/s3fs-public\/styles\/side_image\/public\/thumbnails\/image\/Resourcesat%20Ches%2BDel%20Bay%20R2LS301252017289042_b543_l1g.jpg?itok=nLOHe2km\" width=\"340\" height=\"312\" alt=\"Satellite image showing the Delaware Bay and Chesapeake Bay region\"\/><\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>This LISS-3 image of the Delaware Bay and Chesapeake Bay region, acquired\u00a0January 25, 2017, shows landscape along the densely populated U.S. East coast. Ecosystems and sea-level rise are among the regional landscape changes that satellite imagery helps to monitor.\u00a0(Public domain.)<\/p>\n<\/div>\n<p>Both sensors acquire four\u00a0distinct spectral bands in the green, red, near infrared, and short-wave infrared portions of the electromagnetic spectrum. These bands\u00a0line up approximately with Landsat Thematic Mapper, Enhanced Thematic Mapper Plus, and Operational Land Imager green, red, near infrared, and short-wave infrared 1 bands. The LISS-3 sensor is more comparable to the OLI sensor in resolution \u2013 24 meters \u2013 and coverage, while the AWiFS sensor has a 56-meter resolution but a much wider swath.\u00a0<\/p>\n<p>Users can download AWiFS\u00a0and LISS-III imagery through <a href=\"https:\/\/earthexplorer.usgs.gov\/\">EarthExplorer<\/a>. Product options include a Level 1 geometrically corrected standard product, and a Level 1 precision terrain corrected product where precision correction is feasible.<\/p>\n<p>Along with all data acquired over the U.S. from Resourcesat-2 starting in August 2016 and continuing today, USGS distributes data from ISRO\u2019s earlier Resourcesat-1 satellite collected over the U.S. from 2003 through 2007.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Release Date: July 20, 2017 Resourcesat data that are important for understanding changes associated with agriculture, forestry, phenology, and other applications are now available in the USGS archive. This image of the Las Vegas \/Lake Mead \/ Grand Canyon area was acquired\u00a0June 16, 2017 with the Resourcesat-2\u00a0AWiFS sensor. Images of this region can help detect [&hellip;]<\/p>\n","protected":false},"author":5817,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[4,23],"tags":[72,73],"class_list":["post-383245","post","type-post","status-publish","format-standard","hentry","category-academic","category-media","tag-earthquake","tag-usgs"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/383245","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/users\/5817"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/comments?post=383245"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/383245\/revisions"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/media?parent=383245"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/categories?post=383245"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/tags?post=383245"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}