Random forest for spatialization of daily evapotranspiration (ET0) in watersheds in the Atlantic Forest
The importance of daily data on reference evapotranspiration (ET 0 ) has increased in recent years due to its relevance in planning and decision making regarding irrigated agriculture, water production, and forest restoration. Facing the scarcity of this information measured in loco, the study of in...
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| Veröffentlicht in: | Environmental monitoring and assessment 2022-06, Vol.194 (6), p.449-449, Article 449 |
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| creator | Baratto, Pablo Francisco Benitez Cecílio, Roberto Avelino de Sousa Teixeira, David Bruno Zanetti, Sidney Sara Xavier, Alexandre Cândido |
| description | The importance of daily data on reference evapotranspiration (ET
0
) has increased in recent years due to its relevance in planning and decision making regarding irrigated agriculture, water production, and forest restoration. Facing the scarcity of this information measured in loco, the study of interpolation methods capable of representing ET
0
becomes important. Therefore, this study aimed to evaluate the adequacy of the Random Forest (RF) method in the spatialization of ET
0
in the watersheds of the Mid-South region of the Espírito Santo State, located within the Atlantic Forest biome, Brazil. From this study, it was found that the RF method is the most suitable one for ET
0
spatialization when compared to the Angular distance weighting (ADW) and the inverse distance weighting (IDW) techniques. Also, the spatializations carried out by this method were transformed into databases in a grid format and made available online. Furthermore, the RF database was also compared to other ET
0
grid databases, and it was concluded that the RF database also carried out a better performance than the other ones. |
| doi_str_mv | 10.1007/s10661-022-10110-y |
| format | Article |
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0
) has increased in recent years due to its relevance in planning and decision making regarding irrigated agriculture, water production, and forest restoration. Facing the scarcity of this information measured in loco, the study of interpolation methods capable of representing ET
0
becomes important. Therefore, this study aimed to evaluate the adequacy of the Random Forest (RF) method in the spatialization of ET
0
in the watersheds of the Mid-South region of the Espírito Santo State, located within the Atlantic Forest biome, Brazil. From this study, it was found that the RF method is the most suitable one for ET
0
spatialization when compared to the Angular distance weighting (ADW) and the inverse distance weighting (IDW) techniques. Also, the spatializations carried out by this method were transformed into databases in a grid format and made available online. Furthermore, the RF database was also compared to other ET
0
grid databases, and it was concluded that the RF database also carried out a better performance than the other ones.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-022-10110-y</identifier><identifier>PMID: 35606615</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adequacy ; Agriculture ; Atmospheric Protection/Air Quality Control/Air Pollution ; Decision making ; Decision trees ; Distance ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental monitoring ; Environmental restoration ; Environmental science ; Evapotranspiration ; Interpolation ; Interpolation methods ; Methods ; Monitoring/Environmental Analysis ; Watersheds ; Weighting</subject><ispartof>Environmental monitoring and assessment, 2022-06, Vol.194 (6), p.449-449, Article 449</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-e91b0a5b5e9a8ef8588960abb1739fcc89607eeb86ad2e9046107d5c93795afb3</citedby><cites>FETCH-LOGICAL-c375t-e91b0a5b5e9a8ef8588960abb1739fcc89607eeb86ad2e9046107d5c93795afb3</cites><orcidid>0000-0003-4808-6328</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-022-10110-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-022-10110-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35606615$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baratto, Pablo Francisco Benitez</creatorcontrib><creatorcontrib>Cecílio, Roberto Avelino</creatorcontrib><creatorcontrib>de Sousa Teixeira, David Bruno</creatorcontrib><creatorcontrib>Zanetti, Sidney Sara</creatorcontrib><creatorcontrib>Xavier, Alexandre Cândido</creatorcontrib><title>Random forest for spatialization of daily evapotranspiration (ET0) in watersheds in the Atlantic Forest</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>The importance of daily data on reference evapotranspiration (ET
0
) has increased in recent years due to its relevance in planning and decision making regarding irrigated agriculture, water production, and forest restoration. Facing the scarcity of this information measured in loco, the study of interpolation methods capable of representing ET
0
becomes important. Therefore, this study aimed to evaluate the adequacy of the Random Forest (RF) method in the spatialization of ET
0
in the watersheds of the Mid-South region of the Espírito Santo State, located within the Atlantic Forest biome, Brazil. From this study, it was found that the RF method is the most suitable one for ET
0
spatialization when compared to the Angular distance weighting (ADW) and the inverse distance weighting (IDW) techniques. Also, the spatializations carried out by this method were transformed into databases in a grid format and made available online. Furthermore, the RF database was also compared to other ET
0
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0
) has increased in recent years due to its relevance in planning and decision making regarding irrigated agriculture, water production, and forest restoration. Facing the scarcity of this information measured in loco, the study of interpolation methods capable of representing ET
0
becomes important. Therefore, this study aimed to evaluate the adequacy of the Random Forest (RF) method in the spatialization of ET
0
in the watersheds of the Mid-South region of the Espírito Santo State, located within the Atlantic Forest biome, Brazil. From this study, it was found that the RF method is the most suitable one for ET
0
spatialization when compared to the Angular distance weighting (ADW) and the inverse distance weighting (IDW) techniques. Also, the spatializations carried out by this method were transformed into databases in a grid format and made available online. Furthermore, the RF database was also compared to other ET
0
grid databases, and it was concluded that the RF database also carried out a better performance than the other ones.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35606615</pmid><doi>10.1007/s10661-022-10110-y</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-4808-6328</orcidid></addata></record> |
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| ispartof | Environmental monitoring and assessment, 2022-06, Vol.194 (6), p.449-449, Article 449 |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Adequacy Agriculture Atmospheric Protection/Air Quality Control/Air Pollution Decision making Decision trees Distance Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental monitoring Environmental restoration Environmental science Evapotranspiration Interpolation Interpolation methods Methods Monitoring/Environmental Analysis Watersheds Weighting |
| title | Random forest for spatialization of daily evapotranspiration (ET0) in watersheds in the Atlantic Forest |
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