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Utilizing repeated gps surveys from field operations for development of agricultural field dems.

Topographic data collected using RTK-DGPS-equipped farm vehicles during field operations could addadditional benefits to the original capital investment in the equipment through the development of high-accuracy field DEMs. Repeated surveys of elevation data from field operations may improve DEM accu...

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Main Authors: Abd Aziz, Samsuzana, Steward, Brian Lynn, Tang, Lie, Karkee, Manoj
Format: Article
Language:English
English
Published: American Society of Agricultural and Biological Engineers 2009
Online Access:http://psasir.upm.edu.my/id/eprint/17565/1/Utilizing%20repeated%20gps%20surveys%20from%20field%20operations%20for%20development%20of%20agricultural%20field%20dems.pdf
http://psasir.upm.edu.my/id/eprint/17565/
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spelling my.upm.eprints.175652015-11-30T06:31:48Z http://psasir.upm.edu.my/id/eprint/17565/ Utilizing repeated gps surveys from field operations for development of agricultural field dems. Abd Aziz, Samsuzana Steward, Brian Lynn Tang, Lie Karkee, Manoj Topographic data collected using RTK-DGPS-equipped farm vehicles during field operations could addadditional benefits to the original capital investment in the equipment through the development of high-accuracy field DEMs. Repeated surveys of elevation data from field operations may improve DEM accuracy over time. However, minimizing the amount of data to be processed and stored is also an important goal for practical implementation. A method was developed to utilize repeated GPS surveys acquired during field operations for generating field-level DEMs. Elevation measurement error was corrected through a continuity analysis. Fuzzy logic (FL) and weighted averaging (WA) methods were used to combine new surveys with past elevation estimates without requiring storage and reprocessing of past survey data. After 20 surveys were included, the DEM of the study area generated with FL and WA methods had an average root mean squared error (RMSE) of 0.08 m, which was substantially lower than the RMSE of 0.16 m associated with the DEM developed by averaging all data points in each grid. With minimum control of errors in elevation measurements, the effect of these errors can be reduced with appropriate data processing, including continuity analysis, fuzzy logic, and weighted averaging. Two years of GPS surveys of elevation data from field operations could reduce elevation error by 50% in field DEMs. American Society of Agricultural and Biological Engineers 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17565/1/Utilizing%20repeated%20gps%20surveys%20from%20field%20operations%20for%20development%20of%20agricultural%20field%20dems.pdf Abd Aziz, Samsuzana and Steward, Brian Lynn and Tang, Lie and Karkee, Manoj (2009) Utilizing repeated gps surveys from field operations for development of agricultural field dems. Transactions of the ASABE, 52 (4). pp. 1057-1067. ISSN 2151-0032; ESSN: 2151-0040 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Topographic data collected using RTK-DGPS-equipped farm vehicles during field operations could addadditional benefits to the original capital investment in the equipment through the development of high-accuracy field DEMs. Repeated surveys of elevation data from field operations may improve DEM accuracy over time. However, minimizing the amount of data to be processed and stored is also an important goal for practical implementation. A method was developed to utilize repeated GPS surveys acquired during field operations for generating field-level DEMs. Elevation measurement error was corrected through a continuity analysis. Fuzzy logic (FL) and weighted averaging (WA) methods were used to combine new surveys with past elevation estimates without requiring storage and reprocessing of past survey data. After 20 surveys were included, the DEM of the study area generated with FL and WA methods had an average root mean squared error (RMSE) of 0.08 m, which was substantially lower than the RMSE of 0.16 m associated with the DEM developed by averaging all data points in each grid. With minimum control of errors in elevation measurements, the effect of these errors can be reduced with appropriate data processing, including continuity analysis, fuzzy logic, and weighted averaging. Two years of GPS surveys of elevation data from field operations could reduce elevation error by 50% in field DEMs.
format Article
author Abd Aziz, Samsuzana
Steward, Brian Lynn
Tang, Lie
Karkee, Manoj
spellingShingle Abd Aziz, Samsuzana
Steward, Brian Lynn
Tang, Lie
Karkee, Manoj
Utilizing repeated gps surveys from field operations for development of agricultural field dems.
author_facet Abd Aziz, Samsuzana
Steward, Brian Lynn
Tang, Lie
Karkee, Manoj
author_sort Abd Aziz, Samsuzana
title Utilizing repeated gps surveys from field operations for development of agricultural field dems.
title_short Utilizing repeated gps surveys from field operations for development of agricultural field dems.
title_full Utilizing repeated gps surveys from field operations for development of agricultural field dems.
title_fullStr Utilizing repeated gps surveys from field operations for development of agricultural field dems.
title_full_unstemmed Utilizing repeated gps surveys from field operations for development of agricultural field dems.
title_sort utilizing repeated gps surveys from field operations for development of agricultural field dems.
publisher American Society of Agricultural and Biological Engineers
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/17565/1/Utilizing%20repeated%20gps%20surveys%20from%20field%20operations%20for%20development%20of%20agricultural%20field%20dems.pdf
http://psasir.upm.edu.my/id/eprint/17565/
_version_ 1643826556514074624
score 13.211869

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