Height Estimation Of Sugarcane Using An Unmanned Aerial System (uas) Based On Structure From Motion (sfm) Point Clouds

dc.creatorWachholz De Souza
dc.creatorCarlos Henrique; Camargo Lamparelli
dc.creatorRubens Augusto; Rocha
dc.creatorJansle Vieira; Graziano Magalhaes
dc.creatorPaulo Sergio
dc.date2017
dc.date2017-11-13T13:54:25Z
dc.date2017-11-13T13:54:25Z
dc.date.accessioned2018-03-29T06:07:48Z
dc.date.available2018-03-29T06:07:48Z
dc.identifierInternational Journal Of Remote Sensing . Taylor & Francis Ltd, v. 38, p. 2218 - 2230, 2017.
dc.identifier0143-1161
dc.identifier1366-5901
dc.identifierWOS:000397995100013
dc.identifier10.1080/01431161.2017.1285082
dc.identifierhttp://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1285082
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329393
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366418
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThe use of unmanned aerial systems (UAS) as remote-sensing platforms has tremendous potential for obtaining detailed, site-specific descriptions of crop features, which would be very useful for precision agriculture. In sugarcane plantations, for example, cane height can be an indicator of yield and other parameters because it is highly influenced by the soil, total sugar content, leaf nitrogen content, temperature and light intensity. This article describes the generation of crop surface models (CSMs) from high-resolution images that were obtained using a UAS to estimate sugarcane height. Using a UAS with an on-board RGB camera, we created densified three-dimensional point clouds of the study area in two different flight line directions (North/South and East/West) using structure from motion (SfM) with multi-view stereo (MVS). Then, the digital surface model (DSM) and digital terrain model (DTM) were extracted and used to create CSMs. Maps of sugarcane height were created based on this information. We investigated the influences of different flight line directions (N/S and E/W) on sugarcane height estimations and their accuracy by comparing our maps with ground references. From the validation conducted using both flight lines, the average heights were closer to the field-verified data. The resulting maps showed differences in sugarcane height that were confirmed by field measurements. This method has potential for future use by sugarcane-related industries, researchers and farmers to estimate average crop height.
dc.description38
dc.description8-10
dc.description2218
dc.description2230
dc.descriptionSao Paulo Research Foundation FAPESP (Fundacao de Amparo a Pesquisa do Estado de Sao Paulo)
dc.descriptionOdebrecht Agro-Industrial [12/50048-7]
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConference on Small Unmanned Aerial Systems (sUAS) for Environmental Research
dc.descriptionJUN, 2016
dc.descriptionUniv Worcester, Worcester, ENGLAND
dc.languageEnglish
dc.publisherTaylor & Francis Ltd
dc.publisherAbingdon
dc.relationInternational Journal of Remote Sensing
dc.rightsfechado
dc.sourceWOS
dc.subjectYield Components;vehicle Uav;image Data;photogrammetry;camera;angle;lidar
dc.titleHeight Estimation Of Sugarcane Using An Unmanned Aerial System (uas) Based On Structure From Motion (sfm) Point Clouds
dc.typeArtículos de revistas


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