Characterization and spectral monitoring of coffee lands in Brazil.

In Brazil, coffee production has great economic and social importance. Despite this fact, there is still a shortage of information regarding its spatial distribution, crop management and environment. The aim of this study was to carry out spectral monitoring of coffee lands and to characterize their environments using geotechnologies. Coffee fields with contiguous areas over 0.01 km2 within a 488.5 km2 region in the south of Minas Gerais state were selected for the study. Spectral data from the sensors OLI/Landsat 8 and the Shuttle Radar Topography Mission from 2014 to 2015 were obtained, as well as information on production areas, surface temperature, vegetation indexes, altitude and slope, were gathered and analyzed. The results indicate that there is great variation in the NDVI and NDWI values, with means ranging from 0.21 to 0.91 (NDVI) and 0.108 to 0.543 (NDWI). The altitude ranged from 803 to 1150 m, and the surface temperature from 20.9°C to 27.6°C. The altitude and the surface temperature distribution patterns were correlated with the vegetation indexes. The slope classes were very homogeneous, predominantly with declivities between 8 to 20%, characterized as wavy relief. This study made possible the characterization and monitoring of coffee lands and its results may be instrumental in decision-making processes related to coffee management.

Saved in:
Bibliographic Details
Main Authors: ALVES, H. M. R., VOLPATO, M. M. L., VIEIRA, T. G. C., MACIEL, D. A., GONÇALVES, T. G., DANTAS, M. F.
Other Authors: HELENA MARIA RAMOS ALVES, SAPC; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2017-03-29
Subjects:Coffee., Sensoriamento remoto, Landsat, Surface temperature, Remote sensing.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1067802
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-alice-doc-1067802
record_format koha
spelling dig-alice-doc-10678022017-08-16T04:20:03Z Characterization and spectral monitoring of coffee lands in Brazil. ALVES, H. M. R. VOLPATO, M. M. L. VIEIRA, T. G. C. MACIEL, D. A. GONÇALVES, T. G. DANTAS, M. F. HELENA MARIA RAMOS ALVES, SAPC; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL. Coffee. Sensoriamento remoto Landsat Surface temperature Remote sensing. In Brazil, coffee production has great economic and social importance. Despite this fact, there is still a shortage of information regarding its spatial distribution, crop management and environment. The aim of this study was to carry out spectral monitoring of coffee lands and to characterize their environments using geotechnologies. Coffee fields with contiguous areas over 0.01 km2 within a 488.5 km2 region in the south of Minas Gerais state were selected for the study. Spectral data from the sensors OLI/Landsat 8 and the Shuttle Radar Topography Mission from 2014 to 2015 were obtained, as well as information on production areas, surface temperature, vegetation indexes, altitude and slope, were gathered and analyzed. The results indicate that there is great variation in the NDVI and NDWI values, with means ranging from 0.21 to 0.91 (NDVI) and 0.108 to 0.543 (NDWI). The altitude ranged from 803 to 1150 m, and the surface temperature from 20.9°C to 27.6°C. The altitude and the surface temperature distribution patterns were correlated with the vegetation indexes. The slope classes were very homogeneous, predominantly with declivities between 8 to 20%, characterized as wavy relief. This study made possible the characterization and monitoring of coffee lands and its results may be instrumental in decision-making processes related to coffee management. 2017-03-29T11:11:11Z 2017-03-29T11:11:11Z 2017-03-29 2016 2017-03-29T11:11:11Z Anais e Proceedings de eventos In: THE INTERNATIONAL SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING, 23., 2016, Prague, Czeach Republic. Proceedings... http://www.alice.cnptia.embrapa.br/alice/handle/doc/1067802 en eng openAccess p. 801-803
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Coffee.
Sensoriamento remoto
Landsat
Surface temperature
Remote sensing.
Coffee.
Sensoriamento remoto
Landsat
Surface temperature
Remote sensing.
spellingShingle Coffee.
Sensoriamento remoto
Landsat
Surface temperature
Remote sensing.
Coffee.
Sensoriamento remoto
Landsat
Surface temperature
Remote sensing.
ALVES, H. M. R.
VOLPATO, M. M. L.
VIEIRA, T. G. C.
MACIEL, D. A.
GONÇALVES, T. G.
DANTAS, M. F.
Characterization and spectral monitoring of coffee lands in Brazil.
description In Brazil, coffee production has great economic and social importance. Despite this fact, there is still a shortage of information regarding its spatial distribution, crop management and environment. The aim of this study was to carry out spectral monitoring of coffee lands and to characterize their environments using geotechnologies. Coffee fields with contiguous areas over 0.01 km2 within a 488.5 km2 region in the south of Minas Gerais state were selected for the study. Spectral data from the sensors OLI/Landsat 8 and the Shuttle Radar Topography Mission from 2014 to 2015 were obtained, as well as information on production areas, surface temperature, vegetation indexes, altitude and slope, were gathered and analyzed. The results indicate that there is great variation in the NDVI and NDWI values, with means ranging from 0.21 to 0.91 (NDVI) and 0.108 to 0.543 (NDWI). The altitude ranged from 803 to 1150 m, and the surface temperature from 20.9°C to 27.6°C. The altitude and the surface temperature distribution patterns were correlated with the vegetation indexes. The slope classes were very homogeneous, predominantly with declivities between 8 to 20%, characterized as wavy relief. This study made possible the characterization and monitoring of coffee lands and its results may be instrumental in decision-making processes related to coffee management.
author2 HELENA MARIA RAMOS ALVES, SAPC; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL.
author_facet HELENA MARIA RAMOS ALVES, SAPC; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL.
ALVES, H. M. R.
VOLPATO, M. M. L.
VIEIRA, T. G. C.
MACIEL, D. A.
GONÇALVES, T. G.
DANTAS, M. F.
format Anais e Proceedings de eventos
topic_facet Coffee.
Sensoriamento remoto
Landsat
Surface temperature
Remote sensing.
author ALVES, H. M. R.
VOLPATO, M. M. L.
VIEIRA, T. G. C.
MACIEL, D. A.
GONÇALVES, T. G.
DANTAS, M. F.
author_sort ALVES, H. M. R.
title Characterization and spectral monitoring of coffee lands in Brazil.
title_short Characterization and spectral monitoring of coffee lands in Brazil.
title_full Characterization and spectral monitoring of coffee lands in Brazil.
title_fullStr Characterization and spectral monitoring of coffee lands in Brazil.
title_full_unstemmed Characterization and spectral monitoring of coffee lands in Brazil.
title_sort characterization and spectral monitoring of coffee lands in brazil.
publishDate 2017-03-29
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1067802
work_keys_str_mv AT alveshmr characterizationandspectralmonitoringofcoffeelandsinbrazil
AT volpatomml characterizationandspectralmonitoringofcoffeelandsinbrazil
AT vieiratgc characterizationandspectralmonitoringofcoffeelandsinbrazil
AT macielda characterizationandspectralmonitoringofcoffeelandsinbrazil
AT goncalvestg characterizationandspectralmonitoringofcoffeelandsinbrazil
AT dantasmf characterizationandspectralmonitoringofcoffeelandsinbrazil
_version_ 1756023392180371456