Advanced search
Publication Cover
Geocarto International Volume 36, 2021 - Issue 7
Submit an article Journal homepage
281
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Use of terrestrial remote sensing to estimate soybeans and beans biophysical parameters

Victor Hugo Rohden PrudenteRemote Sensing Division, National Institute of Space Research, São José dos Campos, Brazil; ORCID Iconhttp://orcid.org/0000-0002-0211-7099View further author information
ORCID Icon,
Erivelto MercanteExact and Technological Sciences Center/PGEAGRI, Western Paraná State University, Cascavel, Brazil; ORCID Iconhttps://orcid.org/0000-0002-0744-5286View further author information
ORCID Icon,
Jerry Adriani JohannExact and Technological Sciences Center/PGEAGRI, Western Paraná State University, Cascavel, Brazil; ORCID Iconhttp://orcid.org/0000-0001-6184-8011View further author information
ORCID Icon,
Carlos Henrique Wachholz de SouzaAgricultural Engineering, Federal University of Paraná, Jandaia do Sul, BrazilORCID Iconhttps://orcid.org/0000-0002-7168-525XView further author information
ORCID Icon,
Carlos Eduardo Vizzotto CattaniExact and Technological Sciences Center/PGEAGRI, Western Paraná State University, Cascavel, Brazil; Correspondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9273-3823View further author information
ORCID Icon,
Isaque Souza MendesExact and Technological Sciences Center/PGEAGRI, Western Paraná State University, Cascavel, Brazil; ORCID Iconhttps://orcid.org/0000-0002-0175-9508View further author information
ORCID Icon &
Ivã Luis CaonExact and Technological Sciences Center/PGEAGRI, Western Paraná State University, Cascavel, Brazil; ORCID Iconhttps://orcid.org/0000-0003-0839-3999View further author information
ORCID Icon show all
Pages 773-790 | Received 23 Jul 2018, Accepted 24 May 2019, Published online: 11 Jun 2019

Citations (4)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Jingyu Yang, Taixia Wu, Shudong Wang, Xuan Zhao & Hao Xiong. (2022) Extraction of multiple cropping information at the Sub-pixel scale based on phenology and MODIS NDVI time-series: a case study in Henan Province, China. Geocarto International 37:27, pages 15999-16019.
Read now
Alex Paludo, Willyan Ronaldo Becker, Jonathan Richetti, Laíza Cavalcante De Albuquerque Silva & Jerry Adriani Johann. (2020) Mapping summer soybean and corn with remote sensing on Google Earth Engine cloud computing in Parana state – Brazil. International Journal of Digital Earth 13:12, pages 1624-1636.
Read now

Articles from other publishers (2)

Thiago Orlando Costa Barboza, Matheus Ardigueri, Guillerme Fernandes Castro Souza, Marcelo Araújo Junqueira Ferraz, Josias Reis Flausino Gaudencio & Adão Felipe dos Santos. (2023) Performance of Vegetation Indices to Estimate Green Biomass Accumulation in Common Bean. AgriEngineering 5:2, pages 840-854.
Crossref
Christopher Y. S. Wong, Taylor Jones, Devin P. McHugh, Matthew E. Gilbert, Paul Gepts, Antonia Palkovic, Thomas N. Buckley & Troy S. Magney. (2023) TSWIFT: Tower Spectrometer on Wheels for Investigating Frequent Timeseries for high-throughput phenotyping of vegetation physiology. Plant Methods 19:1.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.