{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T05:25:52Z","timestamp":1765517152023,"version":"3.48.0"},"reference-count":26,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T00:00:00Z","timestamp":1765324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"crossref","award":["88887.948252\/2024-00"],"award-info":[{"award-number":["88887.948252\/2024-00"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"crossref","award":["88881.183739\/2025-01"],"award-info":[{"award-number":["88881.183739\/2025-01"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100005668","name":"Funda\u00e7\u00e3o de Apoio \u00e0 Pesquisa do Distrito Federal","doi-asserted-by":"crossref","award":["00193.00002276\/2022-90"],"award-info":[{"award-number":["00193.00002276\/2022-90"]}],"id":[{"id":"10.13039\/501100005668","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100005668","name":"Funda\u00e7\u00e3o de Apoio \u00e0 Pesquisa do Distrito Federal","doi-asserted-by":"crossref","award":["00193.00002586\/2022-12"],"award-info":[{"award-number":["00193.00002586\/2022-12"]}],"id":[{"id":"10.13039\/501100005668","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>This dataset presents field observations collected in the municipality of Goiatuba, Goi\u00e1s State, Brazil, a consolidated and representative agricultural frontier of the Brazilian Cerrado biome. The region presents diverse land use dynamics, including annual cropping systems, irrigated fields with up to three harvests per year, and pasturelands. We conducted a field campaign from 3 to 7 November 2025, corresponding to the beginning of the 2025\/2026 Brazilian crop season, when crops were at distinct early phenological stages. To ensure representativeness, we delineated 117 reference fields prior to the field campaign, and an additional 463 plots were surveyed during work. Geographic coordinates, crop types, and photographic records were obtained using the GPX Viewer application, a handheld GPS receiver, and the QField 3.7.9 mobile GIS application running on a tablet uploaded with Sentinel-2 true-color imagery and the municipal road network. Plot boundaries were subsequently digitized in QGIS Desktop 3.34.1 software, following a conservative mapping strategy to minimize edge effects and internal heterogeneity associated with trees and water catchment basins. In total, more than 26,000 hectares of agricultural fields were mapped, along with additional land use and land cover polygons representing water bodies, urban areas, and natural vegetation fragments. All reference fields were labeled based on in situ observations and linked to Sentinel-2 mosaics downloaded via the Google Earth Engine platform. This dataset is well-suited for training, testing, and validation of remote sensing classifiers, benchmarking studies, and agricultural mapping initiatives focused on the beginning of the agricultural season in the Brazilian Cerrado.<\/jats:p>","DOI":"10.3390\/data10120204","type":"journal-article","created":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T12:20:57Z","timestamp":1765369257000},"page":"204","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Early-Season Field Reference Dataset of Croplands in a Consolidated Agricultural Frontier in the Brazilian Cerrado"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9407-7639","authenticated-orcid":false,"given":"Ana Larissa Ribeiro","family":"de Freitas","sequence":"first","affiliation":[{"name":"Remote Sensing Graduate Program (PGSER), Coordination of Teaching, Research and Extension (COEPE), National Institute for Space Research (INPE), Av. dos Astronautas, 1758, S\u00e3o Jos\u00e9 dos Campos 12227-010, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4585-5067","authenticated-orcid":false,"given":"F\u00e1bio Furlan","family":"Gama","sequence":"additional","affiliation":[{"name":"Remote Sensing Graduate Program (PGSER), Coordination of Teaching, Research and Extension (COEPE), National Institute for Space Research (INPE), Av. dos Astronautas, 1758, S\u00e3o Jos\u00e9 dos Campos 12227-010, Brazil"},{"name":"Earth Observation and Geoinformatics Division (DIOTG), General Coordination of Earth Science (CG-CT), National Institute for Space Research (INPE), S\u00e3o Jos\u00e9 dos Campos 12227-010, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4136-1972","authenticated-orcid":false,"given":"Ivo Augusto Lopes","family":"Magalh\u00e3es","sequence":"additional","affiliation":[{"name":"Institute of Geosciences, University of Bras\u00edlia (UnB), Campus Universit\u00e1rio Darcy Ribeiro ICC\u2014Ala Central, Bras\u00edlia 70910-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5760-556X","authenticated-orcid":false,"given":"Edson Eyji","family":"Sano","sequence":"additional","affiliation":[{"name":"Brazilian Agricultural Research Corporation (Embrapa Cerrados), Rodovia BR-020, km 18, Planaltina 73301-970, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,10]]},"reference":[{"key":"ref_1","unstructured":"Food and Agriculture Organization (2018). 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