Marston Héracles Domingues Franceschini

According to our database, Marston Héracles Domingues Franceschini authored at least 7 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring.

Tom Hardy, Marston Héracles Domingues Franceschini, Lammert Kooistra, Marcello Novani, Sebastiaan Richter

Proceedings of the Environmental Software Systems. Data Science in Action, 2020

2019

Object-Based Image Analysis Applied to Low Altitude Aerial Imagery for Potato Plant Trait Retrieval and Pathogen Detection.

Jasper Siebring, João Valente, Marston Héracles Domingues Franceschini, Jan Kamp, Lammert Kooistra

Sensors, 2019

Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato.

Marston Héracles Domingues Franceschini, Harm M. Bartholomeus, Dirk Frederik van Apeldoorn, Juha Suomalainen, Lammert Kooistra

Remote. Sens., 2019

2018

Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images.

Caio T. Fongaro, José Alexandre Melo Demattê, Rodnei Rizzo, José Lucas Safanelli, Wanderson de Sousa Mendes, André Carnieletto Dotto, Luiz Eduardo Vicente, Marston Héracles Domingues Franceschini, Susan L. Ustin

Remote. Sens., 2018

2017

Correction: Domingues Franceschini, M.H.; et al. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. <i>Sensors</i> 2017, <i>17</i>, 1428.

Marston Héracles Domingues Franceschini, Harm M. Bartholomeus, Dirk van Apeldoorn, Juha Suomalainen, Lammert Kooistra

Sensors, 2017

Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production.

Marston Héracles Domingues Franceschini, Harm M. Bartholomeus, Dirk van Apeldoorn, Juha Suomalainen, Lammert Kooistra

Sensors, 2017

2015

Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy.

Marston Héracles Domingues Franceschini, José Alexandre Melo Demattê, F. da Silva Terra, L. E. Vicente, Harm M. Bartholomeus, Carlos Roberto de Souza Filho

Int. J. Appl. Earth Obs. Geoinformation, 2015