Loading…

Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity

Saved in:
Bibliographic Details
Published in:Journal of applied remote sensing 2023-07, Vol.17 (3)
Main Authors: Zhang, Wei, Ji, Chenjia, Zheng, Shengjie, Loáiciga, Hugo A., Li, Wenkai, Sun, Xiaona
Format: Article
Language:English
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c195t-e51854da70cb98d9ca215e6692aff6c43a7450a7a876515f4d5ab31a01e2628b3
container_end_page
container_issue 3
container_start_page
container_title Journal of applied remote sensing
container_volume 17
creator Zhang, Wei
Ji, Chenjia
Zheng, Shengjie
Loáiciga, Hugo A.
Li, Wenkai
Sun, Xiaona
description
doi_str_mv 10.1117/1.JRS.17.034510
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1117_1_JRS_17_034510</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1117_1_JRS_17_034510</sourcerecordid><originalsourceid>FETCH-LOGICAL-c195t-e51854da70cb98d9ca215e6692aff6c43a7450a7a876515f4d5ab31a01e2628b3</originalsourceid><addsrcrecordid>eNpNkF1LwzAUhoMoOKfX3uYPtMtpmn5cyvCTgeD0uqTJyRZpm5FkSv-BP9tOHXj1vBzOeTk8hFwDSwGgXED69LJOoUwZzwWwEzKDmkPCoRan__I5uQjhnTHBq6qcka913OuROkPjFqntd959YI9DPI76fRet8VJF2dGwk9FO1O5zCEp2dtjQdvzZ83LQrqfGeQyRetxMDNYNtHcaO6rcEKxGf7g4tmwxoncbHNDG8ZKcGdkFvPrjnLzd3b4uH5LV8_3j8maVqOn5mKCASuRalky1daVrJTMQWBR1Jo0pVM5lmQsmS1mVhQBhci1ky0EywKzIqpbPyeK3V3kXgkfT7LztpR8bYM1BZAPNJLKZwq9I_g22QWqD</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity</title><source>SPIE Digital Library Journals</source><creator>Zhang, Wei ; Ji, Chenjia ; Zheng, Shengjie ; Loáiciga, Hugo A. ; Li, Wenkai ; Sun, Xiaona</creator><creatorcontrib>Zhang, Wei ; Ji, Chenjia ; Zheng, Shengjie ; Loáiciga, Hugo A. ; Li, Wenkai ; Sun, Xiaona</creatorcontrib><identifier>ISSN: 1931-3195</identifier><identifier>EISSN: 1931-3195</identifier><identifier>DOI: 10.1117/1.JRS.17.034510</identifier><language>eng</language><ispartof>Journal of applied remote sensing, 2023-07, Vol.17 (3)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c195t-e51854da70cb98d9ca215e6692aff6c43a7450a7a876515f4d5ab31a01e2628b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Ji, Chenjia</creatorcontrib><creatorcontrib>Zheng, Shengjie</creatorcontrib><creatorcontrib>Loáiciga, Hugo A.</creatorcontrib><creatorcontrib>Li, Wenkai</creatorcontrib><creatorcontrib>Sun, Xiaona</creatorcontrib><title>Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity</title><title>Journal of applied remote sensing</title><issn>1931-3195</issn><issn>1931-3195</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpNkF1LwzAUhoMoOKfX3uYPtMtpmn5cyvCTgeD0uqTJyRZpm5FkSv-BP9tOHXj1vBzOeTk8hFwDSwGgXED69LJOoUwZzwWwEzKDmkPCoRan__I5uQjhnTHBq6qcka913OuROkPjFqntd959YI9DPI76fRet8VJF2dGwk9FO1O5zCEp2dtjQdvzZ83LQrqfGeQyRetxMDNYNtHcaO6rcEKxGf7g4tmwxoncbHNDG8ZKcGdkFvPrjnLzd3b4uH5LV8_3j8maVqOn5mKCASuRalky1daVrJTMQWBR1Jo0pVM5lmQsmS1mVhQBhci1ky0EywKzIqpbPyeK3V3kXgkfT7LztpR8bYM1BZAPNJLKZwq9I_g22QWqD</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Zhang, Wei</creator><creator>Ji, Chenjia</creator><creator>Zheng, Shengjie</creator><creator>Loáiciga, Hugo A.</creator><creator>Li, Wenkai</creator><creator>Sun, Xiaona</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20230701</creationdate><title>Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity</title><author>Zhang, Wei ; Ji, Chenjia ; Zheng, Shengjie ; Loáiciga, Hugo A. ; Li, Wenkai ; Sun, Xiaona</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c195t-e51854da70cb98d9ca215e6692aff6c43a7450a7a876515f4d5ab31a01e2628b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Ji, Chenjia</creatorcontrib><creatorcontrib>Zheng, Shengjie</creatorcontrib><creatorcontrib>Loáiciga, Hugo A.</creatorcontrib><creatorcontrib>Li, Wenkai</creatorcontrib><creatorcontrib>Sun, Xiaona</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of applied remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Wei</au><au>Ji, Chenjia</au><au>Zheng, Shengjie</au><au>Loáiciga, Hugo A.</au><au>Li, Wenkai</au><au>Sun, Xiaona</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity</atitle><jtitle>Journal of applied remote sensing</jtitle><date>2023-07-01</date><risdate>2023</risdate><volume>17</volume><issue>3</issue><issn>1931-3195</issn><eissn>1931-3195</eissn><doi>10.1117/1.JRS.17.034510</doi></addata></record>
fulltext fulltext
identifier ISSN: 1931-3195
ispartof Journal of applied remote sensing, 2023-07, Vol.17 (3)
issn 1931-3195
1931-3195
language eng
recordid cdi_crossref_primary_10_1117_1_JRS_17_034510
source SPIE Digital Library Journals
title Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T05%3A15%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Study%20of%20the%20improvement%20of%20the%20multifractal%20spatial%20downscaling%20by%20the%20random%20forest%20regression%20model%20considering%20spatial%20heterogeneity&rft.jtitle=Journal%20of%20applied%20remote%20sensing&rft.au=Zhang,%20Wei&rft.date=2023-07-01&rft.volume=17&rft.issue=3&rft.issn=1931-3195&rft.eissn=1931-3195&rft_id=info:doi/10.1117/1.JRS.17.034510&rft_dat=%3Ccrossref%3E10_1117_1_JRS_17_034510%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c195t-e51854da70cb98d9ca215e6692aff6c43a7450a7a876515f4d5ab31a01e2628b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true