<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Arvor D</submitter><funding>French National Center for Space Studies</funding><funding>Agence Nationale de la Recherche</funding><funding>French National Center for Space Studies (CNES)</funding><pagination>6497</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12910097</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(1)</volume><pubmed_abstract>Remote sensing science is expected to produce spatio-temporal indicators to help societies to address major global challenges. In this regard, we have implemented the CHOVE-CHUVA web platform to monitor socio-environmental dynamics in the Brazilian Amazon state of Mato Grosso. Result of a long-term collaboration between research labs, local NGOs, and administrations, this Space for Climate Observatory initiative relies on two major pillars: (1) visualizing and computing spatio-temporal indices derived from Earth Observation data and (2) collecting citizen information as part of collaborative science. A major asset of the platform is to gather, visualize, and process data covering a wide range of themes such as land status, land use, climate, natural vegetation, agriculture, and hydrology. </pubmed_abstract><journal>Scientific reports</journal><pubmed_title>The CHOVE-CHUVA Earth observation platform to monitor socio-environmental dynamics in Mato Grosso, Brazil.</pubmed_title><pmcid>PMC12910097</pmcid><funding_grant_id>SCO CHOVE-CHUVA</funding_grant_id><funding_grant_id>TELKANTE LAB</funding_grant_id><pubmed_authors>Funatsu BM</pubmed_authors><pubmed_authors>Kuchler P</pubmed_authors><pubmed_authors>Betbeder J</pubmed_authors><pubmed_authors>Begue A</pubmed_authors><pubmed_authors>Simoes M</pubmed_authors><pubmed_authors>Ribeiro UM</pubmed_authors><pubmed_authors>Denize J</pubmed_authors><pubmed_authors>Bellec A</pubmed_authors><pubmed_authors>Ferraz RPD</pubmed_authors><pubmed_authors>Rouxel L</pubmed_authors><pubmed_authors>Dubreuil V</pubmed_authors><pubmed_authors>Silgueiro V</pubmed_authors><pubmed_authors>Dias AP</pubmed_authors><pubmed_authors>Arvor D</pubmed_authors><pubmed_authors>da Silva CA</pubmed_authors></additional><is_claimable>false</is_claimable><name>The CHOVE-CHUVA Earth observation platform to monitor socio-environmental dynamics in Mato Grosso, Brazil.</name><description>Remote sensing science is expected to produce spatio-temporal indicators to help societies to address major global challenges. In this regard, we have implemented the CHOVE-CHUVA web platform to monitor socio-environmental dynamics in the Brazilian Amazon state of Mato Grosso. Result of a long-term collaboration between research labs, local NGOs, and administrations, this Space for Climate Observatory initiative relies on two major pillars: (1) visualizing and computing spatio-temporal indices derived from Earth Observation data and (2) collecting citizen information as part of collaborative science. A major asset of the platform is to gather, visualize, and process data covering a wide range of themes such as land status, land use, climate, natural vegetation, agriculture, and hydrology. </description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-07-16T00:38:03.378Z</modification><creation>2026-07-09T10:26:24.436Z</creation></dates><accession>S-EPMC12910097</accession><cross_references><pubmed>41606057</pubmed><doi>10.1038/s41598-026-36640-w</doi></cross_references></HashMap>