{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T15:45:08Z","timestamp":1781019908706,"version":"3.54.1"},"reference-count":8,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/igarss.2019.8897896","type":"proceedings-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T23:40:56Z","timestamp":1574725256000},"page":"5832-5835","source":"Crossref","is-referenced-by-count":8,"title":["Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data"],"prefix":"10.1109","author":[{"given":"Ankush","family":"Agarwal","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandeep","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dharmendra","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref4","article-title":"Vegetation monitoring using multispectral sensors &#x2013; best practices and lessons learned from high latitudes","author":"assmann","year":"2018","journal-title":"J Unmanned Veh Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s18072172"},{"key":"ref6","article-title":"DJI - The World Leader in Camera Drones\/Quadcopters for Aerial Photography","year":"0","journal-title":"DJI Official"},{"key":"ref5","year":"0","journal-title":"SENTINEL2-Sentinel-2 Products"},{"key":"ref8","year":"0","journal-title":"Sen2Cor | STEP"},{"key":"ref7","article-title":"RedEdge-M Sample Data","year":"0","journal-title":"Micasense"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2813281"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrs.2011.06.001"}],"event":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","location":"Yokohama, Japan","start":{"date-parts":[[2019,7,28]]},"end":{"date-parts":[[2019,8,2]]}},"container-title":["IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8891871\/8897702\/08897896.pdf?arnumber=8897896","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:12:49Z","timestamp":1657854769000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8897896\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":8,"URL":"https:\/\/doi.org\/10.1109\/igarss.2019.8897896","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}