<\/p>\n
We invite you to attend the upcoming, open webinar series: Forest Mapping and Monitoring with SAR Data<\/p>\n
This series will be delivered in both English and Spanish. Please see the training details and registration information below. We would be happy to have you join us!<\/p>\n
Relevant UN Sustainable Development Goals:<\/p>\n
Target 15.1: By 2020, ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems and their services, in particular forests, wetlands, mountains and drylands, in line with obligations under international agreements
\nTarget 15.2: By 2020, promote the implementation of sustainable management of all types of forests, halt deforestation, restore degraded forests and substantially increase afforestation and reforestation globally<\/p>\n
Course Dates: May 12, 14, 19, 21, 2020<\/p>\n
Times and Registration Information:<\/p>\n
English Session: 11:00-13:00 EDT (UTC-4):\u00a0\u00a0https:\/\/go.nasa.gov\/3a0gxg9<\/a> Description:\u00a0Measurements of forest cover and change are vital to understanding the global carbon cycle and the contribution of forests to carbon sequestration. Many nations are engaged in international agreements, such as the Reducing Emissions from Deforestation and Degradation (REDD+) initiative, which includes tracking annual deforestation rates and developing early warning systems of forest loss. Remote sensing data are integral to data collection for these metrics, however, the use of optical remote sensing for monitoring forest health can be challenging in tropical, cloud-prone regions.<\/p>\n Radar remote sensing overcomes these challenges because of its ability to \u201csee\u201d the surface through clouds or regardless of day or night conditions. In addition, the radar signal can penetrate through the vegetation canopy and provide information relevant to structure and density.<\/p>\n This advanced webinar series will introduce participants to 1.) SAR time series analysis of forest change using Google Earth Engine (GEE), 2.) land cover classification with radar and optical data with GEE, 3.) mapping mangroves with SAR, and 4.) forest stand height estimation with SAR. Each training will include a theoretical portion describing the use of SAR for landcover mapping as related to the focus of the session followed by a demonstration that will show participants how to access, download, and analyze SAR data for forest mapping and monitoring. These demonstrations will use freely-available, open-source data and software.<\/p>\n Learning Objectives: By the end of this training, attendees will be able to:<\/p>\n Interpret radar data for forest mapping Course Format:<\/p>\n Four parts with sessions offered in English and Spanish We hope you can join us!<\/p>\n Brock Blevins
\nSpanish Session: 14:00-16:00 EDT (UTC-4):\u00a0\u00a0https:\/\/go.nasa.gov\/2JvVqXj<\/a><\/p>\n
\nUnderstand how radar data can be applied to land cover mapping
\nBecome familiar with open source tools used to analyze radar data
\nConduct a land cover classification with radar and optical data
\nMap mangrove forests with radar data
\nUnderstand how forest stand height can be mapped using radar data
\nApply SAR time-series analysis to map forest change
\nLearn about upcoming radar missions at NASA<\/p>\n
\nFour exercises
\nOne Google Form homework<\/p>\n
\nTraining Coordinator
\nScience Systems and Applications, Inc. (SSAI)
\nNASA Applied Remote Sensing Training Program (ARSET)
\n402-578-7313
\nbrock.blevins@nasa.gov
\nnasa.arset@gmail.com<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":23924,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_s2mail":"yes"},"categories":[1],"tags":[4,19,21,7,12,13,8,9],"_links":{"self":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/32663"}],"collection":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/comments?post=32663"}],"version-history":[{"count":0,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/32663\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/"}],"wp:attachment":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/media?parent=32663"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/categories?post=32663"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/tags?post=32663"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}