Extraction of crop information through the spatiotemporal fusion of OLI and MODIS images-Reference-Cited by-同舟云学术

Extraction of crop information through the spatiotemporal fusion of OLI and MODIS images

Published:2021-11-09 Issue: Volume: Page:1-25
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Oldoni Lucas Volochen¹^ORCID,Mercante Erivelto²^ORCID,Antunes João Francisco Gonçalves³^ORCID,Cattani Carlos Eduardo Vizzotto²^ORCID,Silva Junior Carlos Antônio da⁴^ORCID,Caon Ivã Luiz²^ORCID,Prudente Victor Hugo Rohden¹^ORCID

Affiliation:

1. Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José Dos Campos, São Paulo, Brazil

2. Postgraduate Program in Agricultural Engineering (PGEAGRI), Western Paraná State University (UNIOESTE), Cascavel, Paraná, Brazil

3. Embrapa Agricultura Digital, Campinas, São Paulo, Brazil

4. Department of Geography, State University of Mato Grosso (UNEMAT), Sinop, Mato Grosso, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

CAPES-PRINT/Satellite Applications for Sustainable Development, and the Conselho Nacional de Desenvolvimento Científico e Tecnológico

Research Productivity Fellowship

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.2000648

Reference91 articles.

1. Understanding Soybean Maturity Groups in Brazil: Environment, Cultivar Classification, and Stability

2. Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil

3. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs

4. DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES

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