Amelia Holcomb, Bill Tong, Megan Penny, Srinivasan Keshav
{"title":"用移动电话测量森林碳","authors":"Amelia Holcomb, Bill Tong, Megan Penny, Srinivasan Keshav","doi":"10.1145/3458864.3466916","DOIUrl":null,"url":null,"abstract":"Tree trunk diameter, currently measured during manual forest inventories, is a key input to tree carbon storage calculations. We designan app running on a smartphone equipped with a time-of-flight sensor that allows efficient, low-cost, and accurate measurement of trunk diameter, even in the face of natural leaf and branch occlusion. The algorithm runs in near real-time on the phone, allowing user interaction to improve the quality of the results. We evaluate the app in realistic settings and find that in a corpus of 55 sample tree images, it estimates trunk diameter with mean error of 7.8%.","PeriodicalId":153361,"journal":{"name":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services","volume":"306 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Measuring forest carbon with mobile phones\",\"authors\":\"Amelia Holcomb, Bill Tong, Megan Penny, Srinivasan Keshav\",\"doi\":\"10.1145/3458864.3466916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tree trunk diameter, currently measured during manual forest inventories, is a key input to tree carbon storage calculations. We designan app running on a smartphone equipped with a time-of-flight sensor that allows efficient, low-cost, and accurate measurement of trunk diameter, even in the face of natural leaf and branch occlusion. The algorithm runs in near real-time on the phone, allowing user interaction to improve the quality of the results. We evaluate the app in realistic settings and find that in a corpus of 55 sample tree images, it estimates trunk diameter with mean error of 7.8%.\",\"PeriodicalId\":153361,\"journal\":{\"name\":\"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services\",\"volume\":\"306 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3458864.3466916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3458864.3466916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tree trunk diameter, currently measured during manual forest inventories, is a key input to tree carbon storage calculations. We designan app running on a smartphone equipped with a time-of-flight sensor that allows efficient, low-cost, and accurate measurement of trunk diameter, even in the face of natural leaf and branch occlusion. The algorithm runs in near real-time on the phone, allowing user interaction to improve the quality of the results. We evaluate the app in realistic settings and find that in a corpus of 55 sample tree images, it estimates trunk diameter with mean error of 7.8%.