Cargando…
_version_ 1783504901900337152
author Demattê, José A. M.
Safanelli, José Lucas
Poppiel, Raul Roberto
Rizzo, Rodnei
Silvero, Nélida Elizabet Quiñonez
Mendes, Wanderson de Sousa
Bonfatti, Benito Roberto
Dotto, André Carnieletto
Salazar, Diego Fernando Urbina
Mello, Fellipe Alcântara de Oliveira
Paiva, Ariane Francine da Silveira
Souza, Arnaldo Barros
Santos, Natasha Valadares dos
Maria Nascimento, Cláudia
Mello, Danilo Cesar de
Bellinaso, Henrique
Gonzaga Neto, Luiz
Amorim, Merilyn Taynara Accorsi
Resende, Maria Eduarda Bispo de
Vieira, Julia da Souza
Queiroz, Louise Gunter de
Gallo, Bruna Cristina
Sayão, Veridiana Maria
Lisboa, Caroline Jardim da Silva
author_facet Demattê, José A. M.
Safanelli, José Lucas
Poppiel, Raul Roberto
Rizzo, Rodnei
Silvero, Nélida Elizabet Quiñonez
Mendes, Wanderson de Sousa
Bonfatti, Benito Roberto
Dotto, André Carnieletto
Salazar, Diego Fernando Urbina
Mello, Fellipe Alcântara de Oliveira
Paiva, Ariane Francine da Silveira
Souza, Arnaldo Barros
Santos, Natasha Valadares dos
Maria Nascimento, Cláudia
Mello, Danilo Cesar de
Bellinaso, Henrique
Gonzaga Neto, Luiz
Amorim, Merilyn Taynara Accorsi
Resende, Maria Eduarda Bispo de
Vieira, Julia da Souza
Queiroz, Louise Gunter de
Gallo, Bruna Cristina
Sayão, Veridiana Maria
Lisboa, Caroline Jardim da Silva
author_sort Demattê, José A. M.
collection PubMed
description The Earth’s surface dynamics provide essential information for guiding environmental and agricultural policies. Uncovered and unprotected surfaces experience several undesirable effects, which can affect soil ecosystem functions. We developed a technique to identify global bare surface areas and their dynamics based on multitemporal remote sensing images to aid the spatiotemporal evaluation of anthropic and natural phenomena. The bare Earth’s surface and its changes were recognized by Landsat image processing over a time range of 30 years using the Google Earth Engine platform. Two additional products were obtained with a similar technique: a) Earth’s bare surface frequency, which represents where and how many times a single pixel was detected as bare surface, based on Landsat series, and b) Earth’s bare soil tendency, which represents the tendency of bare surface to increase or decrease. This technique enabled the retrieval of bare surfaces on 32% of Earth’s total land area and on 95% of land when considering only agricultural areas. From a multitemporal perspective, the technique found a 2.8% increase in bare surfaces during the period on a global scale. However, the rate of soil exposure decreased by ~4.8% in the same period. The increase in bare surfaces shows that agricultural areas are increasing worldwide. The decreasing rate of soil exposure indicates that, unlike popular opinion, more soils have been covered due to the adoption of conservation agriculture practices, which may reduce soil degradation.
format Online
Article
Text
id pubmed-7064585
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-70645852020-03-18 Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring Demattê, José A. M. Safanelli, José Lucas Poppiel, Raul Roberto Rizzo, Rodnei Silvero, Nélida Elizabet Quiñonez Mendes, Wanderson de Sousa Bonfatti, Benito Roberto Dotto, André Carnieletto Salazar, Diego Fernando Urbina Mello, Fellipe Alcântara de Oliveira Paiva, Ariane Francine da Silveira Souza, Arnaldo Barros Santos, Natasha Valadares dos Maria Nascimento, Cláudia Mello, Danilo Cesar de Bellinaso, Henrique Gonzaga Neto, Luiz Amorim, Merilyn Taynara Accorsi Resende, Maria Eduarda Bispo de Vieira, Julia da Souza Queiroz, Louise Gunter de Gallo, Bruna Cristina Sayão, Veridiana Maria Lisboa, Caroline Jardim da Silva Sci Rep Article The Earth’s surface dynamics provide essential information for guiding environmental and agricultural policies. Uncovered and unprotected surfaces experience several undesirable effects, which can affect soil ecosystem functions. We developed a technique to identify global bare surface areas and their dynamics based on multitemporal remote sensing images to aid the spatiotemporal evaluation of anthropic and natural phenomena. The bare Earth’s surface and its changes were recognized by Landsat image processing over a time range of 30 years using the Google Earth Engine platform. Two additional products were obtained with a similar technique: a) Earth’s bare surface frequency, which represents where and how many times a single pixel was detected as bare surface, based on Landsat series, and b) Earth’s bare soil tendency, which represents the tendency of bare surface to increase or decrease. This technique enabled the retrieval of bare surfaces on 32% of Earth’s total land area and on 95% of land when considering only agricultural areas. From a multitemporal perspective, the technique found a 2.8% increase in bare surfaces during the period on a global scale. However, the rate of soil exposure decreased by ~4.8% in the same period. The increase in bare surfaces shows that agricultural areas are increasing worldwide. The decreasing rate of soil exposure indicates that, unlike popular opinion, more soils have been covered due to the adoption of conservation agriculture practices, which may reduce soil degradation. Nature Publishing Group UK 2020-03-10 /pmc/articles/PMC7064585/ /pubmed/32157136 http://dx.doi.org/10.1038/s41598-020-61408-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Demattê, José A. M.
Safanelli, José Lucas
Poppiel, Raul Roberto
Rizzo, Rodnei
Silvero, Nélida Elizabet Quiñonez
Mendes, Wanderson de Sousa
Bonfatti, Benito Roberto
Dotto, André Carnieletto
Salazar, Diego Fernando Urbina
Mello, Fellipe Alcântara de Oliveira
Paiva, Ariane Francine da Silveira
Souza, Arnaldo Barros
Santos, Natasha Valadares dos
Maria Nascimento, Cláudia
Mello, Danilo Cesar de
Bellinaso, Henrique
Gonzaga Neto, Luiz
Amorim, Merilyn Taynara Accorsi
Resende, Maria Eduarda Bispo de
Vieira, Julia da Souza
Queiroz, Louise Gunter de
Gallo, Bruna Cristina
Sayão, Veridiana Maria
Lisboa, Caroline Jardim da Silva
Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring
title Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring
title_full Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring
title_fullStr Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring
title_full_unstemmed Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring
title_short Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring
title_sort bare earth’s surface spectra as a proxy for soil resource monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064585/
https://www.ncbi.nlm.nih.gov/pubmed/32157136
http://dx.doi.org/10.1038/s41598-020-61408-1
work_keys_str_mv AT demattejoseam bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT safanellijoselucas bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT poppielraulroberto bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT rizzorodnei bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT silveronelidaelizabetquinonez bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT mendeswandersondesousa bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT bonfattibenitoroberto bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT dottoandrecarnieletto bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT salazardiegofernandourbina bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT mellofellipealcantaradeoliveira bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT paivaarianefrancinedasilveira bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT souzaarnaldobarros bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT santosnatashavaladaresdos bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT marianascimentoclaudia bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT mellodanilocesarde bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT bellinasohenrique bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT gonzaganetoluiz bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT amorimmerilyntaynaraaccorsi bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT resendemariaeduardabispode bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT vieirajuliadasouza bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT queirozlouisegunterde bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT gallobrunacristina bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT sayaoveridianamaria bareearthssurfacespectraasaproxyforsoilresourcemonitoring
AT lisboacarolinejardimdasilva bareearthssurfacespectraasaproxyforsoilresourcemonitoring