XXII ISPRS Congress 2012: Technical Commission VII

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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

rice cultivation increases because it is a staple food, in particular for the rapidly growing Asian population. Casanova etal. (1998) already presented a study about monitoring rice during the growing season with a hand-held radiometer. Their conclusion was that only biomass can be predicted with a high accuracy (R?—0.97). The possibility to estimate the leaf area index (LAT) from spectral data is limited (R?—0.67). Recent studies focus on deriving different vegetation properties, like the LAI and the green leaf chlorophyll density (GLCD), from remote sensing data. Therefore, Yang et al. (2011) compared different transformations for reflectance data, obtained from a spectroradiometer, concerning their capability of predicting rice biophysical parameters. In another study Ryuetal. (2011) used an airborne hyperspectral sensor to determine the nitrogen content of rice plants at the heading stage. In the context of rice growth monitoring, Koppe et al. (2012) demonstrated the potential of multi-temporal and dual- polarimetric TerraSAR-X data based on a survey carried out in the same region observed in our study. However, any studies about TLS measurements for rice exist at this stage. Thus, we evaluate the applicability of multitemporal TLS for rice growth monitoring in this approach. In contrast to other presented studies using phase-shift or optical probe sensors, a time-of-flight sensor was used. The surveys were carried out on test sites related to the ICASD project. The International Center for Agro-Informatics and Sustainable Development (ICASD) was founded in 2009 as a cooperative research center between the China Agricultural University, Beijing and the University of Cologne, Germany (ICASD, 2012). Besides the development of an open, international, and multidisciplinary platform for agro- informatics and sustainable development, one of the major aims is the application of information sciences and technologies in the field of agriculture. 2. METHODS 2.1 Study area We conducted our surveys on test fields close to the city Jiansanjiang (N 47°13'54", E 132°38'53") in Heilongjiang Province in the far northeast of China. The Province with a continental monsoon climate is an important basis for agricultural products (Gao & Liu, 2011). The focus of the monitored field experiment was on different nitrogen fertilizer inputs during the growing period. One half of the paddy rice field with a spatial extent of 60 m by 60 m was cultivated with the rice variety Kongyul31, the other one with Longjing21. Furthermore, nine different treatments were repeated thrice for both rice varieties. The treatments differ in Figure 1. Overview of the investigated area from one scan position at the south edge of the field. On the right with the tripod mounted on the small trailer can be seen. 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 the amount of applied nitrogen fertilizer during the early and middle growing period. Thus, the area was divided into 54 plots (10 m by 7 m). 2.2 Surveys For all field campaigns the terrestrial laser scanner Riegl VZ-1000 (Riegl LMS GmbH, 2011), provided by Five Star Electronic Technologies, located in Beijing, was used. The narrow infrared laser beam with online full waveform analysis and echo digitization enables the fast recording of high-accurate 3D point clouds. Additionally, a digital camera, Nikon D700, was mounted on the laser scanner. From the recorded RGB- photos the point clouds gained from the laser scanner can be colorized and the corresponding surfaces can be textured. The instrument was fixed on a tripod, which raises the sensor up to 1.5 m above ground. Where possible, the whole setting was build up on a small trailer behind a tractor to achieve a greater height (cf. Figure 1). In order to capture the whole study area, nine scan positions were established. For the analyses presented in this paper, four of them were of major importance: Two positions without the trailer at the north edge and two positions with the trailer at the south edge of the investigated field. For the monitoring approach, three campaigns were carried out on the 21* of June, the 4^, and the 18" of July 2011. The chosen period is within the vegetative stage of the rice plants, when the stem elongation process takes place. Remarkable differences between the dates were assumed, due to the increase of tillers and plant height during this stage. Moreover, common tie points in all scans are required to enable the merging of all scan positions in the postprocessing. Therefore, high reflective cylinders that can be easily detected by the laser scanner, were fixed on ranging poles build upon the dikes between the fields (Hoffmeister et al, 2010). The positions of these poles were marked with large nails in the first campaign. Thus, every scan of each date can be merged together by reestablishing the ranging poles for the other two campaigns. Furthermore, on each date the plant heights of eight to ten plants per plot were measured manually and plant samples were taken to evaluate the biomass of stem and leafs. 2.3 Postprocessing For the postprocessing of the achieved data, Riegls software RiSCAN PRO, which is delivered with the laser scanner, was used. The first registration and merging of the scan positions was performed with an indirect registration method, based on the mentioned high reflective cylinders acting as tie points. EX 3 4 0 side the scanner

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