Jansle Vieira Rocha

Orcid: 0000-0003-3337-4394

According to our database1, Jansle Vieira Rocha authored at least 11 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Areas Available for the Potential Sustainable Expansion of Soy in Brazil: A Geospatial Assessment Using the SAFmaps Database.
Remote. Sens., 2022

2021
Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm.
Comput. Electron. Agric., 2021

SAFmaps: the WebGIS for sustainability assessment of aviation biofuels in Brazil.
Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

2020
Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery.
Remote. Sens., 2020

2019
Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery.
Remote. Sens., 2019

A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Framework for Mapping Integrated Crop-Livestock Systems in Mato Grosso, Brazil.
Remote. Sens., 2018

The Effects of Sugarcane Productivity Anomalies on L-Band and C-Band SAR Signals.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images.
Comput. Electron. Agric., 2017

Monitoring pasture intesification in Brazilian Amazon biome with MODIS time series.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016
Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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