Methodology for mapping and monitoring integrated crop-livestock systems using remote sensing data

• Grant number: 21/15001-9
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: February 01, 2022
• End date: May 31, 2023
• Field of knowledge: Agronomical Sciences - Agricultural Engineering
• Agreement: Netherlands Organisation for Scientific Research (NWO)
• Principal Investigator: João Francisco Gonçalves Antunes
• Grantee: Inacio Thomaz Bueno
• 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. (nwo 2017), 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

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

TORO, ANA P. S. G. D. D.; BUENO, INACIO T.; WERNER, JOAO P. S.; ANTUNES, JOAO F. G.; LAMPARELLI, RUBENS A. C.; COUTINHO, ALEXANDRE C.; ESQUERDO, JULIO C. D. M.; MAGALHAES, PAULO S. G.; FIGUEIREDO, GLEYCE K. D. A.. SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine Learning Algorithms. REMOTE SENSING, v. 15, n. 4, p. 16-pg., 2023-02-01. (17/50205-9, 21/15001-9)

BUENO, INACIO T.; ANTUNES, JOAO F. G.; REIS, ALINY A. DOS; WERNER, JOAO P. S.; TORO, ANA P. S. G. D. D.; FIGUEIREDO, GLEYCE K. D. A.; ESQUERDO, JULIO C. D. M.; LAMPARELLI, RUBENS A. C.; COUTINHO, ALEXANDRE C.; MAGALHA, PAULO S. G.. Mapping integrated crop-livestock systems in Brazil with planetscope time series and deep learning. REMOTE SENSING OF ENVIRONMENT, v. 299, p. 18-pg., 2023-11-03. (21/15001-9, 17/50205-9, 18/24985-0)

BUENO, I. T.; ANTUNES, J. F. G.; TORO, A. P. S. G. D. D.; WERNER, J. P. S.; COUTINHO, A. C.; FIGUEIREDO, G. K. D. A.; LAMPARELLI, R. A. C.; ESQUERDO, J. C. D. M.; MAGALHAES, P. S. G.. LAND USE/LAND COVER CLASSIFICATION IN A HETEROGENEOUS AGRICULTURAL LANDSCAPE USING PLANETSCOPE DATA. 39TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT ISRSE-39 FROM HUMAN NEEDS TO SDGS, VOL. 48-M-1, v. N/A, p. 7-pg., 2023-01-01. (21/15001-9, 17/50205-9)