Methodology for mapping and monitoring different pasture-based Livestock management and Mixed Crop-Livestock systems with remote sensing

• Grant number: 18/24985-0
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Effective date (Start): February 01, 2019
• Effective date (End): September 17, 2021
• Field of knowledge: Agronomical Sciences - Agricultural Engineering
• Acordo de Cooperação: Netherlands Organisation for Scientific Research (NWO)
• Principal Investigator: João Francisco Gonçalves Antunes
• Grantee: Aliny Aparecida dos Reis
• Host Institution: Núcleo Interdisciplinar de Planejamento Energético (NIPE). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 17/50205-9 - Monitoring integrated crop-livestock systems through remote sensing and precision agriculture for more sustainable production - towards low carbon agriculture, AP.TEM

Abstract

Agricultural expansion over pastureland in Brazil, mainly by grains and sugarcane, led to Livestock intensification in the remaining pasture within those regions. During the past decades, Brazil has dramatically increased agricultural (grains) production, mostly due to increases in yield. On the other hand, in recent years, sugarcane has increased its production mainly based on area expansion mainly over pasture areas. In the same period, Brazil has become a leading global beef producer. Although general agricultural statistics indicate that pasture intensification has been occurring in recent years, a more detailed analysis is needed, considering, for instance, geographical distribution, the types of systems involved (e.g. purely pasture and mixed pasture and crops) and management variables. This plan focuses on what can be learned about pasture management from remote sensing - a powerful tool that has seen relatively little application in this context. (AU)

Scientific publications

(9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DA SILVA, YANE DE FREITAS; APARECIDA DOS REIS, ALINY; SAMPAIO WERNER, JOAO PAULO; VASCONCELOS VALADARES, RAFAEL; CAMPBELL, ELEANOR E.; AUGUSTO CAMARGO LAMPARELLI, RUBENS; MAGALHAES, PAULO SERGIO GRAZIANO; FIGUEIREDO, GLEYCE KELLY DANTAS ARAUJO. Assessing the capability of MODIS to monitor mixed pastures with high-intensity grazing at a fine-scale. GEOCARTO INTERNATIONAL, MAY 2021. (17/50205-9, 18/24707-0, 18/24985-0)

PEREIRA, FRANCISCO R. DA S.; DOS REIS, ALINY A.; FREITAS, RODRIGO G.; OLIVEIRA, STANLEY R. DE M.; DO AMARAL, LUCAS R.; FIGUEIREDO, GLEYCE K. D. A.; ANTUNES, JOAO F. G.; LAMPARELLI, RUBENS A. C.; MORO, EDEMAR; MAGALHAES, PAULO S. G.. Imputation of Missing Parts in UAV Orthomosaics Using PlanetScope and Sentinel-2 Data: A Case Study in a Grass-Dominated Area. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, v. 12, n. 2, p. 15-pg., 2023-02-01. (17/50205-9, 18/24985-0)

DOS REIS, ALINY A.; WERNER, JOAO P. S.; SILVA, BRUNA C.; FIGUEIREDO, GLEYCE K. D. A.; ANTUNES, JOAO F. G.; ESQUERDO, JULIO C. D. M.; COUTINHO, ALEXANDRE C.; LAMPARELLI, RUBENS A. C.; ROCHA, V, JANSLE; MAGALHAES, PAULO S. G.. Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery. REMOTE SENSING, v. 12, n. 16, AUG 2020. (18/24985-0, 17/50205-9)

DOS SANTOS, L. T.; WERNER, J. P. S.; DOS REIS, A. A.; TORO, A. P. G.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHAES, P. S. G.; ESQUERDO, J. C. D. M.; FIGUEIREDO, G. K. D. A.; et al. MULTITEMPORAL SEGMENTATION OF SENTINEL-2 IMAGES IN AN AGRICULTURAL INTENSIFICATION REGION IN BRAZIL. XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, v. 5-3, p. 7-pg., 2022-01-01. (18/24985-0, 17/50205-9)

CAMARGO, LIVIA ARANTES; DO AMARAL, LUCAS RIOS; DOS REIS, ALINY APARECIDA; BRASCO, THIAGO LUIS; GRAZIANO MAGALHAES, PAULO SERGIO. mproving soil organic carbon mapping with a field-specific calibration approach through diffuse reflectance spectroscopy and machine learning algorithm. SOIL USE AND MANAGEMENT, v. 38, n. 1, NOV 2021. (18/24985-0, 17/50205-9, 18/24493-0)

FREITAS, RODRIGO G.; PEREIRA, FRANCISCO R. S.; DOS REIS, ALINY A.; MAGALHA, PAULO S. G.; FIGUEIREDO, GLEYCE K. D. A.; DO AMARAL, LUCAS R.. Estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 198, p. 10-pg., 2022-07-01. (17/50205-9, 18/24985-0)

PEREIRA, F. R. DA S.; DE LIMA, J. P.; FREITAS, R. G.; DOS REIS, A. A.; DO AMARAL, L. R.; FIGUEIREDO, G. K. D. A.; LAMPARELLI, R. A. C.; MAGALHAES, P. S. G.. itrogen variability assessment of pasture fields under an integrated crop-livestock system using UAV, PlanetScope, and Sentinel-2 dat. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 193, FEB 2022. (17/50205-9, 18/24985-0)

DOS REIS, A. A.; SILVA, B. C.; WERNER, J. P. S.; SILVA, Y. F.; ROCHA, J., V; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; et al. EXPLORING THE POTENTIAL OF HIGH-RESOLUTION PLANETSCOPE IMAGERY FOR PASTURE BIOMASS ESTIMATION IN AN INTEGRATED CROP-LIVESTOCK SYSTEM. 2020 IEEE LATIN AMERICAN GRSS & ISPRS REMOTE SENSING CONFERENCE (LAGIRS), v. N/A, p. 6-pg., 2020-01-01. (18/24985-0)

DA SILVA, YANE DE FREITAS; APARECIDA DOS REIS, ALINY; SAMPAIO WERNER, JOAO PAULO; VASCONCELOS VALADARES, RAFAEL; CAMPBELL, ELEANOR E.; AUGUSTO CAMARGO LAMPARELLI, RUBENS; MAGALHAES, PAULO SERGIO GRAZIANO; FIGUEIREDO, GLEYCE KELLY DANTAS ARAUJO. Assessing the capability of MODIS to monitor mixed pastures with high-intensity grazing at a fine-scale. GEOCARTO INTERNATIONAL, v. 37, n. 20, p. 19-pg., 2021-05-07. (18/24707-0, 18/24985-0, 17/50205-9)