{"id":861,"date":"2019-03-13T21:02:23","date_gmt":"2019-03-14T02:02:23","guid":{"rendered":"http:\/\/pages.charlotte.edu\/gang-chen\/?p=861"},"modified":"2019-03-13T21:02:53","modified_gmt":"2019-03-14T02:02:53","slug":"special-issue-mapping-forest-dynamics-using-multi-source-remote-sensing","status":"publish","type":"post","link":"https:\/\/pages.charlotte.edu\/gang-chen\/blog\/2019\/03\/13\/special-issue-mapping-forest-dynamics-using-multi-source-remote-sensing\/","title":{"rendered":"Special Issue &#8220;Mapping Forest Dynamics using Multi-Source Remote Sensing&#8221;"},"content":{"rendered":"<p>Dear Colleagues,<\/p>\n<p>Forest ecosystems are increasingly affected by a variety of environmental and anthropogenic disturbances, such as fire, drought, insect and disease outbreaks, logging, and urban development. Although almost none of those disturbances are new, a growing number of studies confirmed that their intensity and frequency have substantially increased over the past decades. Consequently, a prior disturbance regime is likely to influence the response of a forest ecosystem to a new disturbance, resulting in complex, interacting disturbances. While single sensors in remote sensing often face challenges to capture such disturbances and the process of post-disturbance recovery, a growing fleet of sensors with diverse spatial, temporal, spectral and radiometric resolutions has significantly augmented our earth observation capabilities.<\/p>\n<p>This Special Issue aims to review and synthesize the latest, leading-edge advances in mapping forest dynamics using multi-source remote sensing. Original research articles are solicited over a wide range of topics which may focus on, but are not limited to:<\/p>\n<ul>\n<li>Mapping large-scale disturbances causing extensive tree damage (e.g., changes in\u00a0<u><\/u>tree<u><\/u>\u00a0structure, canopy cover, biomass and carbon storage)<\/li>\n<li>Monitoring stresses affecting forest health (e.g., photosynthesis and phenology)<\/li>\n<li>Assessing\u00a0<u><\/u>causes<u><\/u>\u00a0of disturbances\/stresses<\/li>\n<li>Forest recovery mapping and analysis<\/li>\n<li>Integrating a new generation of sensors for tracking forest dynamics<\/li>\n<li>New strategies or algorithms to synergize multi-source data<\/li>\n<\/ul>\n<p>Deadline for manuscript submissions:\u00a0<b>30 November 2019\u00a0<\/b><\/p>\n<p>See link to the special issue webpage:\u00a0<a href=\"https:\/\/www.mdpi.com\/journal\/remotesensing\/special_issues\/forest_dynamics\">https:\/\/www.mdpi.com\/journal\/remotesensing\/special_issues\/forest_dynamics<\/a><\/p>\n<p><em>Guest Editors<\/em><\/p>\n<p>Dr. Gang Chen<br \/>\nLaboratory for Remote Sensing and Environmental Change, Department of Geography and Earth Sciences,\u00a0<u><\/u>University<u><\/u>\u00a0of North Carolina at Charlotte, Charlotte, NC 28277, USA<\/p>\n<p>Dr. Kaiguang Zhao<br \/>\nOhio Agricultural Research and Development Center, School of Environment and Natural Resources, The Ohio State University, Wooster, OH 44691, USA<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dear Colleagues, Forest ecosystems are increasingly affected by a variety of environmental and anthropogenic disturbances, such as fire, drought, insect and disease outbreaks, logging, and urban development. Although almost none of those disturbances are new, a growing number of studies confirmed that their intensity and frequency have substantially increased over the past decades. Consequently, a [&hellip;]<\/p>\n","protected":false},"author":44,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","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}},"categories":[1],"tags":[],"class_list":["post-861","post","type-post","status-publish","format-standard","hentry","category-updates"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p2VSMp-dT","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts\/861","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/comments?post=861"}],"version-history":[{"count":2,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts\/861\/revisions"}],"predecessor-version":[{"id":863,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts\/861\/revisions\/863"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/media?parent=861"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/categories?post=861"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/tags?post=861"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}