XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: EVALUATION OF TERRESTRIAL LASER SCANNING FOR RICE GROWTH MONITORING N. Tilly, D. Hoffmeister, H. Liang, Q. Cao, Y. Liu, V. Lenz-Wiedemann, Y. Miao, G. Bareth

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia EVALUATION OF TERRESTRIAL LASER SCANNING FOR RICE GROWTH MONITORING N. Tilly ***, D. Hoffmeister ^4 H. Liang, Q. Cao", Y. Liu*, V. Lenz-Wiedemann 2d y Miao *¢, G. Bareth *¢ 2 Institute of Geography (GIS & Remote Sensing Group), University of Cologne, 50923 Cologne, Germany - (nora.tilly, dirk.hoffmeister, victoria.lenz, g.bareth)@uni-koeln.de ® Department of Plant Nutrition, China Agricultural University, 100193 Beijing, China, - (giangcao, ymiao)@cau.edu.cn * Five Star Electronic Technologies Co. Ltd., Fengtai District, Fangchengyuanyiqu, Building17, Riyuetiandi B,100078 Beijing - liuyj0001@yahoo.com, china.lh@gmail.com ‘International Center for Agro-Informatics and Sustainable Development (ICASD), www.icasd.org KEY WORDS: TLS, Multitemporal, Agriculture, Crop, Change Detection, Monitoring ABSTRACT: The rapidly growing world population and the resulting pressure on the efficiency of agriculture require a sustainable development of intensive field management with regard to natural resources. In this context, the use of non-destructive remote sensing technologies to monitor status and change detection of plant growth is in the focus of research and application. In this contribution, we evaluate the applicability of multitemporal terrestrial laser scanning (TLS) for rice growth monitoring. The test sites are located around Jiansanjiang in Heilongjiang Province in the far northeast of China. The focus of the field experiment was on different nitrogen fertilizer inputs during the growing period in 2011. To realize the monitoring approach, three campaigns were carried out during the vegetative stage of rice plants. For all campaigns the terrestrial laser scanner Riegl VZ-1000 was used. The achieved knowledge can be described in two parts. First, for each date the variability of plant height and biomass is detectable for the whole experiment field and - more important - between the plots. Furthermore, differences in height and biomass related to edge effects can be investigated for every single plot. The spatial distribution is visualized by Crop Surface Models (CSM), which are digital surface models with a high resolution and accuracy achieved by the interpolation of the 3D point clouds. Secondly, the multitemporal surveying approach enables the monitoring of the growth rate of the rice plants. Additionally, it is possible to detect and analyze as well the spatial distribution of the changes by comparing the CSMs. Our results show that TLS is a suitable and promising method for rice growth monitoring. Furthermore, the contemporaneous surveying with other sensors enables us to validate our measurements and bares opportunities for further enhancements. 1. INTRODUCTION The principle of Light Detection and Ranging (LIDAR) systems is the computation of distances between a sensor and a target with a laser beam (Jensen, 2007). This is possible by (i) measuring the time between transmitting and receiving a pulsed signal, (ii) calculating the phase shift in a sinusoidal continuous beam, or (iii) detecting a laser dot on a target with a camera and calculate the distance from the triangle between transmitter, camera, and target (Shan & Toth, 2009; Kraus, 2004). Thus, highly accurate 3D point clouds are obtained from the achieved information. Depending on the used platform, it can be distinguished between Airborne Laser Scanning (ALS), Terrestrial Laser Scanning (TLS), and Mobile Laser Scanning (MLS) (Vosselmann & Maas, 2010). The methods differ in their accuracy, spatial resolution, covered area, and measuring rate. Generally, the investigation and monitoring of the earth's surface by remote sensing techniques is object of research in various fields of interests. However, in the field of agriculture, laser scanning is only used for a few applications. McKinion etal. (2010) established yield stability maps for cotton and corn fields over a period of three years with ALS measurements. At a smaller scale, Eitel et al. (2011) analysed the nitrogen status of spring wheat using a TLS system with a * Corresponding author: nora.tilly@uni-koeln.de green scanning laser. Based on a previous study (Eitel et al., 2010), they detected the ability to quantify the crop nitrogen status by the relationship between leaf chlorophyll and reflected green laser light. In the context of precision farming, Saeys et al. (2009) mounted a laser scanner on a combine harvester to estimate the crop density while driving. The driving speed can be adjusted automatically in order to maximize the capacity of the harvester. The usability of multi-temporal TLS to detect 3D crop changes, is presented by Hoffmeister et al. (2010). In this study, patterns in the distribution of height differences within a sugar-beet field were detected with a time- of-flight laser scanner and visualized in Crop Surface Models (CSM) and Crop Volume Models (CVM). Ehlert et al. (2008, 2009) established a measuring system with a triangulation and a time-of-flight scanner. The estimated mean crop heights (oilseed rape, winter rye, winter wheat, and grassland) were correlated to fresh and dry biomass with good results (R?-0.75 to 0.99). The impact of different nitrogen fertilizer rates on various cereals (barley, oat, and wheat) was investigated with a phase-shift scanner by Lumme et al. (2008). They found a good correlation between plant height and grain yield (R°=0.88 to 0.99). The structure of rice plants is similar to the investigated cereals, which suggests that laser scanning can also be used to determine rice crop properties, Moreover, the importance of

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