{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"b27676ec-adb5-43fc-a49b-a2adc01839d8","name":"early-estimates-exotic-annual-grass-eag-sagebrush-biome-usa-july-2021","title":"Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021","author":"Devendra Dahal, Neal J Pastick, Stephen P Boyte, Sujan Parajuli and Michael J Oimoen","author_email":"ddahal@contractor.usgs.gov","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","notes":"\u003Cp\u003EThese datasets provide early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on July 1 using satellite observation data available until June 28th. In previous releases, we developed and released one general EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but also included number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and medusahead (Taeniatherum caput-medusae). New to this release, cheatgrass and medusahead, which are highly problematic exotic species in the western U.S., are also mapped separately. These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence\/machine learning techniques. A total 17,536 AIM plots from years 2016 - 2019 were used to train an ensemble of five-fold regression models using a cross-validation approach (each observation was used as test data once) that developed EAG fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EData Use\u003C\/strong\u003E\u003Cbr \/\u003E\n\u003Cem\u003ELicense\u003C\/em\u003E\u003Cbr \/\u003E\n\u003Ca href=\u0022https:\/\/spdx.org\/licenses\/CC-PDDC\u0022\u003ECreative Commons-PDDC\u003C\/a\u003E\u003Cbr \/\u003E\n\u003Cem\u003ERecommended Citation\u003C\/em\u003E\u003Cbr \/\u003E\nDahal D, Pastick NJ, Boyte SP, Parajuli S, Oimoen MJ. 2021. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021 [Dataset], (ver 2.0, January 2022). U.S. Geological Survey data release. \u003Ca href=\u0022https:\/\/doi.org\/10.5066\/P9FG6X9Q\u0022\u003Ehttps:\/\/doi.org\/10.5066\/P9FG6X9Q\u003C\/a\u003E\u003C\/p\u003E\n","url":"https:\/\/data.nkn.uidaho.edu\/dataset\/early-estimates-exotic-annual-grass-eag-sagebrush-biome-usa-july-2021","state":"Active","log_message":"Edited by awchild.","private":true,"revision_timestamp":"Thu, 08\/17\/2023 - 12:20","metadata_created":"Fri, 03\/11\/2022 - 13:03","metadata_modified":"Thu, 08\/17\/2023 - 12:20","creator_user_id":"6cc16f2c-77c2-4d12-ac06-56bbb86b535b","type":"Dataset","resources":[{"id":"9297daf0-9a5d-4ad1-a6ab-b635103020c2","revision_id":"","url":"https:\/\/doi.org\/10.5066\/P9FG6X9Q","description":"","format":"html","state":"Active","revision_timestamp":"Thu, 08\/17\/2023 - 11:45","name":"Data Access via USGS | Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021","mimetype":"html","size":"","created":"Fri, 03\/11\/2022 - 13:04","resource_group_id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","last_modified":"Date changed Thu, 08\/17\/2023 - 11:45"}],"tags":[{"id":"bfd62175-0785-4c6b-ad66-b98ab6501123","vocabulary_id":"2","name":"Artemisia tridentata (sagebrush)"},{"id":"0fd5f6e9-babb-45d4-a5fe-d355a4994b37","vocabulary_id":"2","name":"sagebrush (Artemisia spp.)"},{"id":"95654bc0-02f9-4101-b672-5325dfa327c0","vocabulary_id":"2","name":"biodiversity"},{"id":"7b1aa4f0-e197-4834-b0f5-40dde50ae103","vocabulary_id":"2","name":"biogeography"},{"id":"425f965a-f839-486d-be20-95827298c8c0","vocabulary_id":"2","name":"ecology"},{"id":"d11e7c60-267d-4663-b346-66b0c63cc602","vocabulary_id":"2","name":"invasive species"},{"id":"385f043c-10c3-4661-ac92-92b7bab3ce17","vocabulary_id":"2","name":"remote sensing"},{"id":"8df9a960-ea78-4f76-9fac-56038e44baf1","vocabulary_id":"2","name":"Harmonized Landsat Sentinel"},{"id":"d5d324f6-bb34-4093-8325-751a998f5365","vocabulary_id":"2","name":"Normalized Difference Vegetation Index (NDVI)"},{"id":"5dd12730-3b1f-4faa-96f6-be4d45d39310","vocabulary_id":"2","name":"texas brome"},{"id":"4ca447e7-f28c-4eef-a7b9-4c01813e487b","vocabulary_id":"2","name":"annual grass"},{"id":"c2c15cd8-eb38-4ba0-ad81-89c9f20183d0","vocabulary_id":"2","name":"annual herbaceous"},{"id":"46a49b16-780e-4adc-b473-b97c42391e74","vocabulary_id":"2","name":"cheatgrass"},{"id":"54b54cd1-bfdc-41f1-bb43-df2fdcd5ea6e","vocabulary_id":"2","name":"exotic"},{"id":"90f90e8d-5f80-4116-b585-b753cde5571e","vocabulary_id":"2","name":"medusahead"},{"id":"db44e854-a1bc-4b63-877e-aceb9e312f2b","vocabulary_id":"2","name":"nonindigenous species"},{"id":"35ca770a-1068-4dc0-9991-ed02fd7a84f1","vocabulary_id":"2","name":"noxious"},{"id":"99f723df-19e3-4367-b593-9fcc0e4828c7","vocabulary_id":"2","name":"red brome"},{"id":"fd33b55c-e2cb-4203-91cc-01076bcf9e79","vocabulary_id":"2","name":"rye brome"},{"id":"1fb347cb-3482-467f-998e-e223a8f2ad9c","vocabulary_id":"2","name":"brome"},{"id":"f2da5b80-984d-446e-95d3-b80f7d843002","vocabulary_id":"2","name":"soft brome"},{"id":"d15350cc-ffda-4be3-b24b-270d6b3887bb","vocabulary_id":"2","name":"land use change"}],"groups":[{"description":"\u003Cp\u003EThe primary objective of Idaho EPSCoR is to stimulate research in niche areas that can become fully competitive in the disciplinary and multidisciplinary research programs of the National Science Foundation and other relevant agencies. Idaho EPSCoR provides support for sustainable increases in Research and Development capacity and advances science and engineering capabilities within the state. \u003C\/p\u003E\n\u003Cp\u003EVisit them at \u003Ca href=\u0022https:\/\/www.idahoepscor.org\u0022\u003Ehttps:\/\/www.idahoepscor.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/Idaho_epscor_logo_no_white_background.png","title":"Idaho EPSCoR","name":"group\/idaho-epscor"},{"description":"\u003Cp\u003EGEM3 is an NSF EPSCoR research program seeking to understand how genetic diversity and phenotypic plasticity affect species response to environmental change, shaping both population response and adaptive capacity.\u003C\/p\u003E\n\u003Cp\u003EVisit them at: \u003Ca href=\u0022https:\/\/www.idahogem3.org\u0022\u003Ehttps:\/\/www.idahogem3.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"1812a312-11a4-492d-960b-9a78b4abfe0c","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/GEM3_nov5_logo.png","title":"EPSCoR GEM3","name":"group\/epscor-gem3"}]}]} Error | RCDS Data Repository

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