Estimating potential soil sheet Erosion in a Brazilian semiarid county using USLE, GIS, and remote sensing data

The present study aimed to estimate soil erosion in Machados County, Brazil. Rainfall erosivity was calculated using monthly and annual precipitation averages over a 30-year interval, soil erodibility was obtained with a granularity-based equation, and topography and land cover were obtained from DE...

Full description

Saved in:
Bibliographic Details
Published in:Environmental monitoring and assessment 2020-01, Vol.192 (1), p.47-47, Article 47
Main Authors: Falcão, Cassiano José Lages Marinho, Duarte, Simone Mirtes de Araújo, da Silva Veloso, Aline
Format: Article
Language:English
Subjects:
Atmospheric Protection/Air Quality Control/Air Pollution
Brazil
Conservation of Natural Resources - methods
Earth and Environmental Science
Ecology
Ecotoxicology
Environment
Environmental Management
Environmental Monitoring
Environmental science
Erosion
Geographic Information Systems
Geographical information systems
Land cover
Monitoring/Environmental Analysis
Rain
Remote sensing
Remote Sensing Technology
Sheet erosion
Soil
Soil erosion
Topography
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c372t-1e311d88e10823fbfb0a502f0cae59299c178a4d7b6d7f4ee50cf59c13a7963c3
cites cdi_FETCH-LOGICAL-c372t-1e311d88e10823fbfb0a502f0cae59299c178a4d7b6d7f4ee50cf59c13a7963c3
container_end_page 47
container_issue 1
container_start_page 47
container_title Environmental monitoring and assessment
container_volume 192
creator Falcão, Cassiano José Lages Marinho
Duarte, Simone Mirtes de Araújo
da Silva Veloso, Aline
description The present study aimed to estimate soil erosion in Machados County, Brazil. Rainfall erosivity was calculated using monthly and annual precipitation averages over a 30-year interval, soil erodibility was obtained with a granularity-based equation, and topography and land cover were obtained from DEM data and Sentinel – 2B imagery, respectively. A GIS interface was used to spatialize parameter results and for topography and land cover analysis. The achieved results allowed surmising that the soil loss for the study region risk is low, but significant, with a mean value of 8.11 t/ha year. About a quarter of the total area presented high soil loss, above 20 t/ha year. The biggest influential factors were soil erodibility, with a mean value of 0.028, and land cover, averaging 0.1409. The topographic factor averaged 3.414 and rain erosivity, found to be 2747.22 mm/year, is considered low for the region. Given a lack of conservative practices observed during field work, the soil stewarship P factor was considered 1 for the assessment. The use of orbital images to obtain C factor and the expression applied to calculate soil erodibility provided adequate results. In addition, there is a need for research to monitor and quantify erosion processes in Brazilian semiarid, as well as their erosion tolerance .
doi_str_mv 10.1007/s10661-019-7955-5
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2327941658</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2327941658</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-1e311d88e10823fbfb0a502f0cae59299c178a4d7b6d7f4ee50cf59c13a7963c3</originalsourceid><addsrcrecordid>eNp1kU1P3DAQhq2qVVlofwCXylIvHEjx2HEcHylaPqSVegDOljeZUKPEXmznQH89XpYPCamXsTTzzDvW-xJyCOwXMKZOErCmgYqBrpSWspKfyAKkEhXXUn8mCwaNqhrR6D2yn9I9Y0yrWn8lewLautZaLEhYpuwmm52_o5uQ0WdnR5qCK-UvYqbLGJILnjpPLf0d7T83OutpwsnZ6HrahdnnRzqnrcLt9Wp5TC-uro-p9T2NOBXJwvrnaW-z_Ua-DHZM-P3lPSC358ubs8tq9efi6ux0VXVC8VwBCoC-bRFYy8WwHtbMSsYH1lmUmmvdgWpt3at106uhRpSsG2TpCqt0IzpxQI52upsYHmZM2UwudTiO1mOYk-GCK11DI9uC_vyA3oc5-vK7Z4oD1FoWCnZUVwxJEQezicW4-GiAmW0aZpeGKWmYbRpmu_PjRXleT9i_bbzaXwC-A1IZ-TuM76f_r_oELg6Ucg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2327211495</pqid></control><display><type>article</type><title>Estimating potential soil sheet Erosion in a Brazilian semiarid county using USLE, GIS, and remote sensing data</title><source>ABI/INFORM Global (ProQuest)</source><source>Springer Nature</source><creator>Falcão, Cassiano José Lages Marinho ; Duarte, Simone Mirtes de Araújo ; da Silva Veloso, Aline</creator><creatorcontrib>Falcão, Cassiano José Lages Marinho ; Duarte, Simone Mirtes de Araújo ; da Silva Veloso, Aline</creatorcontrib><description>The present study aimed to estimate soil erosion in Machados County, Brazil. Rainfall erosivity was calculated using monthly and annual precipitation averages over a 30-year interval, soil erodibility was obtained with a granularity-based equation, and topography and land cover were obtained from DEM data and Sentinel – 2B imagery, respectively. A GIS interface was used to spatialize parameter results and for topography and land cover analysis. The achieved results allowed surmising that the soil loss for the study region risk is low, but significant, with a mean value of 8.11 t/ha year. About a quarter of the total area presented high soil loss, above 20 t/ha year. The biggest influential factors were soil erodibility, with a mean value of 0.028, and land cover, averaging 0.1409. The topographic factor averaged 3.414 and rain erosivity, found to be 2747.22 mm/year, is considered low for the region. Given a lack of conservative practices observed during field work, the soil stewarship P factor was considered 1 for the assessment. The use of orbital images to obtain C factor and the expression applied to calculate soil erodibility provided adequate results. In addition, there is a need for research to monitor and quantify erosion processes in Brazilian semiarid, as well as their erosion tolerance .</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-019-7955-5</identifier><identifier>PMID: 31844993</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Atmospheric Protection/Air Quality Control/Air Pollution ; Brazil ; Conservation of Natural Resources - methods ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; Environmental science ; Erosion ; Geographic Information Systems ; Geographical information systems ; Land cover ; Monitoring/Environmental Analysis ; Rain ; Remote sensing ; Remote Sensing Technology ; Sheet erosion ; Soil ; Soil erosion ; Topography</subject><ispartof>Environmental monitoring and assessment, 2020-01, Vol.192 (1), p.47-47, Article 47</ispartof><rights>Springer Nature Switzerland AG 2019</rights><rights>Environmental Monitoring and Assessment is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-1e311d88e10823fbfb0a502f0cae59299c178a4d7b6d7f4ee50cf59c13a7963c3</citedby><cites>FETCH-LOGICAL-c372t-1e311d88e10823fbfb0a502f0cae59299c178a4d7b6d7f4ee50cf59c13a7963c3</cites><orcidid>0000-0003-0633-3378</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2327211495/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2327211495?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,36061,44363,74895</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31844993$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Falcão, Cassiano José Lages Marinho</creatorcontrib><creatorcontrib>Duarte, Simone Mirtes de Araújo</creatorcontrib><creatorcontrib>da Silva Veloso, Aline</creatorcontrib><title>Estimating potential soil sheet Erosion in a Brazilian semiarid county using USLE, GIS, and remote sensing data</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>The present study aimed to estimate soil erosion in Machados County, Brazil. Rainfall erosivity was calculated using monthly and annual precipitation averages over a 30-year interval, soil erodibility was obtained with a granularity-based equation, and topography and land cover were obtained from DEM data and Sentinel – 2B imagery, respectively. A GIS interface was used to spatialize parameter results and for topography and land cover analysis. The achieved results allowed surmising that the soil loss for the study region risk is low, but significant, with a mean value of 8.11 t/ha year. About a quarter of the total area presented high soil loss, above 20 t/ha year. The biggest influential factors were soil erodibility, with a mean value of 0.028, and land cover, averaging 0.1409. The topographic factor averaged 3.414 and rain erosivity, found to be 2747.22 mm/year, is considered low for the region. Given a lack of conservative practices observed during field work, the soil stewarship P factor was considered 1 for the assessment. The use of orbital images to obtain C factor and the expression applied to calculate soil erodibility provided adequate results. In addition, there is a need for research to monitor and quantify erosion processes in Brazilian semiarid, as well as their erosion tolerance .</description><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Brazil</subject><subject>Conservation of Natural Resources - methods</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Erosion</subject><subject>Geographic Information Systems</subject><subject>Geographical information systems</subject><subject>Land cover</subject><subject>Monitoring/Environmental Analysis</subject><subject>Rain</subject><subject>Remote sensing</subject><subject>Remote Sensing Technology</subject><subject>Sheet erosion</subject><subject>Soil</subject><subject>Soil erosion</subject><subject>Topography</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1kU1P3DAQhq2qVVlofwCXylIvHEjx2HEcHylaPqSVegDOljeZUKPEXmznQH89XpYPCamXsTTzzDvW-xJyCOwXMKZOErCmgYqBrpSWspKfyAKkEhXXUn8mCwaNqhrR6D2yn9I9Y0yrWn8lewLautZaLEhYpuwmm52_o5uQ0WdnR5qCK-UvYqbLGJILnjpPLf0d7T83OutpwsnZ6HrahdnnRzqnrcLt9Wp5TC-uro-p9T2NOBXJwvrnaW-z_Ua-DHZM-P3lPSC358ubs8tq9efi6ux0VXVC8VwBCoC-bRFYy8WwHtbMSsYH1lmUmmvdgWpt3at106uhRpSsG2TpCqt0IzpxQI52upsYHmZM2UwudTiO1mOYk-GCK11DI9uC_vyA3oc5-vK7Z4oD1FoWCnZUVwxJEQezicW4-GiAmW0aZpeGKWmYbRpmu_PjRXleT9i_bbzaXwC-A1IZ-TuM76f_r_oELg6Ucg</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Falcão, Cassiano José Lages Marinho</creator><creator>Duarte, Simone Mirtes de Araújo</creator><creator>da Silva Veloso, Aline</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0633-3378</orcidid></search><sort><creationdate>20200101</creationdate><title>Estimating potential soil sheet Erosion in a Brazilian semiarid county using USLE, GIS, and remote sensing data</title><author>Falcão, Cassiano José Lages Marinho ; Duarte, Simone Mirtes de Araújo ; da Silva Veloso, Aline</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-1e311d88e10823fbfb0a502f0cae59299c178a4d7b6d7f4ee50cf59c13a7963c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Brazil</topic><topic>Conservation of Natural Resources - methods</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Management</topic><topic>Environmental Monitoring</topic><topic>Environmental science</topic><topic>Erosion</topic><topic>Geographic Information Systems</topic><topic>Geographical information systems</topic><topic>Land cover</topic><topic>Monitoring/Environmental Analysis</topic><topic>Rain</topic><topic>Remote sensing</topic><topic>Remote Sensing Technology</topic><topic>Sheet erosion</topic><topic>Soil</topic><topic>Soil erosion</topic><topic>Topography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Falcão, Cassiano José Lages Marinho</creatorcontrib><creatorcontrib>Duarte, Simone Mirtes de Araújo</creatorcontrib><creatorcontrib>da Silva Veloso, Aline</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest_Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Science Database (ProQuest)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Falcão, Cassiano José Lages Marinho</au><au>Duarte, Simone Mirtes de Araújo</au><au>da Silva Veloso, Aline</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating potential soil sheet Erosion in a Brazilian semiarid county using USLE, GIS, and remote sensing data</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>192</volume><issue>1</issue><spage>47</spage><epage>47</epage><pages>47-47</pages><artnum>47</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>The present study aimed to estimate soil erosion in Machados County, Brazil. Rainfall erosivity was calculated using monthly and annual precipitation averages over a 30-year interval, soil erodibility was obtained with a granularity-based equation, and topography and land cover were obtained from DEM data and Sentinel – 2B imagery, respectively. A GIS interface was used to spatialize parameter results and for topography and land cover analysis. The achieved results allowed surmising that the soil loss for the study region risk is low, but significant, with a mean value of 8.11 t/ha year. About a quarter of the total area presented high soil loss, above 20 t/ha year. The biggest influential factors were soil erodibility, with a mean value of 0.028, and land cover, averaging 0.1409. The topographic factor averaged 3.414 and rain erosivity, found to be 2747.22 mm/year, is considered low for the region. Given a lack of conservative practices observed during field work, the soil stewarship P factor was considered 1 for the assessment. The use of orbital images to obtain C factor and the expression applied to calculate soil erodibility provided adequate results. In addition, there is a need for research to monitor and quantify erosion processes in Brazilian semiarid, as well as their erosion tolerance .</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>31844993</pmid><doi>10.1007/s10661-019-7955-5</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0633-3378</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0167-6369
ispartof Environmental monitoring and assessment, 2020-01, Vol.192 (1), p.47-47, Article 47
issn 0167-6369
1573-2959
language eng
recordid cdi_proquest_miscellaneous_2327941658
source ABI/INFORM Global (ProQuest); Springer Nature
subjects Atmospheric Protection/Air Quality Control/Air Pollution
Brazil
Conservation of Natural Resources - methods
Earth and Environmental Science
Ecology
Ecotoxicology
Environment
Environmental Management
Environmental Monitoring
Environmental science
Erosion
Geographic Information Systems
Geographical information systems
Land cover
Monitoring/Environmental Analysis
Rain
Remote sensing
Remote Sensing Technology
Sheet erosion
Soil
Soil erosion
Topography
title Estimating potential soil sheet Erosion in a Brazilian semiarid county using USLE, GIS, and remote sensing data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T10%3A35%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20potential%20soil%20sheet%20Erosion%20in%20a%20Brazilian%20semiarid%20county%20using%20USLE,%20GIS,%20and%20remote%20sensing%20data&rft.jtitle=Environmental%20monitoring%20and%20assessment&rft.au=Falc%C3%A3o,%20Cassiano%20Jos%C3%A9%20Lages%20Marinho&rft.date=2020-01-01&rft.volume=192&rft.issue=1&rft.spage=47&rft.epage=47&rft.pages=47-47&rft.artnum=47&rft.issn=0167-6369&rft.eissn=1573-2959&rft_id=info:doi/10.1007/s10661-019-7955-5&rft_dat=%3Cproquest_cross%3E2327941658%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c372t-1e311d88e10823fbfb0a502f0cae59299c178a4d7b6d7f4ee50cf59c13a7963c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2327211495&rft_id=info:pmid/31844993&rfr_iscdi=true