J. P. Werner

SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine Learning Algorithms

A. Coutinho, G. Figueiredo, J. P. S. Werner, 2023, Remote. Sens..

EVALUATION OF EARLY SEASON MAPPING OF INTEGRATED CROP LIVESTOCK SYSTEMS USING SENTINEL-2 DATA

R. Lamparelli, A. Coutinho, P. G. Magalhães, 2022, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

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

Rubens A. C. Lamparelli, Jansle Vieira Rocha, Gleyce Kelly Dantas Araújo Figueiredo, 2020, Remote. Sens..

Mapping integrated crop-livestock systems in Brazil with planetscope time series and deep learning

A. Coutinho, A. A. Dos Reis, G. Figueiredo, 2023, Remote Sensing of Environment.

Mapping cotton fields using data mining and MODIS time-series

J. Esquerdo, S. R. Oliveira, J. P. S. Werner, 2019, International Journal of Remote Sensing.

MULTITEMPORAL SEGMENTATION OF SENTINEL-2 IMAGES IN AN AGRICULTURAL INTENSIFICATION REGION IN BRAZIL

R. Lamparelli, A. Coutinho, A. A. Dos Reis, 2022, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Exploring the Potential of High-Resolution Planetscope Imagery for Pasture Biomass Estimation in an Integrated Crop–Livestock System

R. A. C. Lamparelli, A. C. Coutinho, R. Lamparelli, 2020, 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS).