Comparison between detailed digital and conventional soil maps of an area with complex geology

Author:

Bazaglia Filho Osmar1,Rizzo Rodnei2,Lepsch Igo Fernando2,Prado Hélio do3,Gomes Felipe Haenel,Mazza Jairo Antonio2,Demattê José Alexandre Melo2

Affiliation:

1. Usina São José da Estiva S/A - Açúcar e Álcool

2. USP

3. Instituto Agronômico de Campinas - IAC/APTA

Abstract

Since different pedologists will draw different soil maps of a same area, it is important to compare the differences between mapping by specialists and mapping techniques, as for example currently intensively discussed Digital Soil Mapping. Four detailed soil maps (scale 1:10.000) of a 182-ha sugarcane farm in the county of Rafard, São Paulo State, Brazil, were compared. The area has a large variation of soil formation factors. The maps were drawn independently by four soil scientists and compared with a fifth map obtained by a digital soil mapping technique. All pedologists were given the same set of information. As many field expeditions and soil pits as required by each surveyor were provided to define the mapping units (MUs). For the Digital Soil Map (DSM), spectral data were extracted from Landsat 5 Thematic Mapper (TM) imagery as well as six terrain attributes from the topographic map of the area. These data were summarized by principal component analysis to generate the map designs of groups through Fuzzy K-means clustering. Field observations were made to identify the soils in the MUs and classify them according to the Brazilian Soil Classification System (BSCS). To compare the conventional and digital (DSM) soil maps, they were crossed pairwise to generate confusion matrices that were mapped. The categorical analysis at each classification level of the BSCS showed that the agreement between the maps decreased towards the lower levels of classification and the great influence of the surveyor on both the mapping and definition of MUs in the soil map. The average correspondence between the conventional and DSM maps was similar. Therefore, the method used to obtain the DSM yielded similar results to those obtained by the conventional technique, while providing additional information about the landscape of each soil, useful for applications in future surveys of similar areas.

Publisher

FapUNIFESP (SciELO)

Subject

Soil Science,Agronomy and Crop Science

Reference61 articles.

1. Digital soil mapping using artificial neural networks;BEHRENS T.;J. Plant Nutr. Soil Sci.,2005

2. FCM: The fuzzy c-means clustering algorithm;BEZDEK J.;Comp. Geosci.,1984

3. SAGA: System for the Automated Geoscientific Analysis;BOCK M.,2008

4. Comparison of 4 independent soil surveys by air-photo interpretation, Paphos area (Cyprus);BIE S.W.;Photogrammetria,1973

5. Elements of the nature and properties of soil;BRADY N.C.,2004

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3