{"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":"nkn:{D0B04605-7BD2-4C70-8279-B6E1D81A624C}","name":"data-reacchpna-biotics-2013-landsat-classified-land-cover-types-cleve-davis-dissertation","title":"Data: REACCHPNA Biotics - 2013 Landsat classified for land cover types - Cleve Davis dissertation","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","notes":"\u003Cp\u003EImage analysis of Landsat 8 imagery was completed using Exelis ENVI 5.1. Imagery from April 25, 2013, June 28, 2013, and July 14, 2013 was used for classification. Each image file was calibrated to radiance and reflectance using Radiometric Calibration and FLAASH Atmospheric Correction tools. The three image mosaics were then fused into a single image file. To reduce spatial variability for the image classification, the remnant patches polygon shapefile was used as a mask of the fused Landsat 8 image file. Two separate classifications were then carried out to delineate land cover types within the study region. One classification focused upon the agricultural matrix surrounding Palouse Prairie patches and the other focused upon the patches themselves. Overall, accuracy of the land cover classification of approximately 380,000 hectares of the Palouse Prairie was 0.64 with a Kappa of 0.59. The analysis had greater than 70% user\u2019s and producer\u2019s accuracy for the Urban\/Bare Ground, Grain, and Conifer type. The analysis had less than 70% user\u2019s and producer\u2019s accuracy for the Perennial Grass type. The other cover types had either a high or low user\u2019s and producer\u2019s accuracy. For example, the Native type had a producer\u2019s accuracy of 44 % and user\u2019s accuracy of 91%. The Annual Grass type had 79 percent producer\u2019s accuracy and 45% user\u2019s accuracy.\u003C\/p\u003E\n","url":"https:\/\/dkan.nkn.uidaho.edu\/dataset\/data-reacchpna-biotics-2013-landsat-classified-land-cover-types-cleve-davis-dissertation","state":"Active","log_message":"Edited by awchild.","private":true,"revision_timestamp":"Wed, 03\/16\/2022 - 09:53","metadata_created":"2016-01-25 08:00:00","metadata_modified":"2016-01-25","creator_user_id":"d0e616c4-10d3-4661-bcf2-73769871ff83","type":"Dataset","resources":[{"id":"0942749e-90e4-43ce-8f9e-9653990df24d","revision_id":"","url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/DATA_1.ZIP","description":"","format":"zip","state":"Active","revision_timestamp":"Wed, 03\/16\/2022 - 09:53","name":"Data \u0026 Metadata Access: Biotics - 2013 Landsat classified for land cover types - Cleve Davis dissertation","mimetype":"application\/zip","size":"885.34 KB","created":"Fri, 02\/01\/2019 - 16:54","resource_group_id":"6a73662f-debf-4fa0-964f-3f0bcbc2a4fb","last_modified":"Date changed Wed, 03\/16\/2022 - 09:53"},{"id":"e427b3ac-c837-49e3-92e0-ea4c6c41ceae","revision_id":"","url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/%7BD0B04605-7BD2-4C70-8279-B6E1D81A624C%7D.xml","description":"","format":"xml","state":"Active","revision_timestamp":"Wed, 03\/16\/2022 - 09:53","name":"Metadata Access: Biotics - 2013 Landsat classified for land cover types - Cleve Davis dissertation","mimetype":"text\/xml","size":"8.38 KB","created":"Tue, 03\/15\/2022 - 09:24","resource_group_id":"6a73662f-debf-4fa0-964f-3f0bcbc2a4fb","last_modified":"Date changed Wed, 03\/16\/2022 - 09:53"}],"tags":[{"id":"fcf87eed-06bb-4616-8620-ee4f8b215803","vocabulary_id":"2","name":"reacchpna"},{"id":"72cac82c-5ca0-44af-af9c-9263f2da48c1","vocabulary_id":"2","name":"Biotics"},{"id":"7d648a49-a56e-4510-8518-1f72975a3bbd","vocabulary_id":"2","name":"2013"},{"id":"6986db3c-2823-4876-b13b-1c9abad32fff","vocabulary_id":"2","name":"cleve davis"},{"id":"bea52d56-0d1b-4747-bb9f-1a31dc9f6b6d","vocabulary_id":"2","name":"Landsat"},{"id":"23d10601-cb72-461d-b276-1655e3c6ea91","vocabulary_id":"2","name":"land cover"}],"groups":[{"description":"The REACCH project was initiated in 2011 to ensure sustainable cereal production in the inland Pacific Northwest. The project was led by an interdisciplinary team of scientists and other professionals from three land grant institutions and the USDA Agricultural Research Service, with funding from the National Institute of Food and Agriculture\u2019s Climate Variability and Change Program. ","id":"6a73662f-debf-4fa0-964f-3f0bcbc2a4fb","image_display_url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/reacch_logo.png","title":"REACCH","name":"group\/reacch"}]}]} Error | RCDS Data Repository

Error

The website encountered an unexpected error. Please try again later.