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Arvor, Damien, Dubreuil, Vincent, Simões, Margareth, Bégué, Agnès (2013) Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data. GeoJournal, 78 (5) 833-850 doi:10.1007/s10708-012-9469-3

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Reference TypeJournal (article/letter/editorial)
TitleMapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data
JournalGeoJournal
AuthorsArvor, DamienAuthor
Dubreuil, VincentAuthor
Simões, MargarethAuthor
Bégué, AgnèsAuthor
Year2013 (October)Volume78
Issue5
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10708-012-9469-3Search in ResearchGate
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Mindat Ref. ID985461Long-form Identifiermindat:1:5:985461:5
GUID0
Full ReferenceArvor, Damien, Dubreuil, Vincent, Simões, Margareth, Bégué, Agnès (2013) Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data. GeoJournal, 78 (5) 833-850 doi:10.1007/s10708-012-9469-3
Plain TextArvor, Damien, Dubreuil, Vincent, Simões, Margareth, Bégué, Agnès (2013) Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data. GeoJournal, 78 (5) 833-850 doi:10.1007/s10708-012-9469-3
In(2013, October) GeoJournal Vol. 78 (5) Springer Science and Business Media LLC

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Arvor, Damien, Meirelles, Margareth, Dubreuil, Vincent, Bégué, Agnès, Shimabukuro, Yosio E. (2012) Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices. Applied Geography, 32 (2). 702-713 doi:10.1016/j.apgeog.2011.08.007
Arvor, Damien, Jonathan, Milton, Meirelles, Margareth Simões Penello, Dubreuil, Vincent, Durieux, Laurent (2011) Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil. International Journal of Remote Sensing, 32 (22). doi:10.1080/01431161.2010.531783
Arvor, Damien, Dubreuil, Vincent, Ronchail, Josyane, Simões, Margareth, Funatsu, Beatriz M. (2014) Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil). International Journal of Climatology, 34 (8). 2622-2633 doi:10.1002/joc.3863
Kuchler, Patrick Calvano, Bégué, Agnès, Simões, Margareth, Gaetano, Raffaele, Arvor, Damien, Ferraz, Rodrigo P.D. (2020) Assessing the optimal preprocessing steps of MODIS time series to map cropping systems in Mato Grosso, Brazil. International Journal of Applied Earth Observation and Geoinformation, 92. 102150pp. doi:10.1016/j.jag.2020.102150
Kuchler, Patrick Calvano, Simões, Margareth, Ferraz, Rodrigo, Arvor, Damien, de Almeida Machado, Pedro Luiz Oliveira, Rosa, Marcos, Gaetano, Raffaele, Bégué, Agnès (2022) Monitoring Complex Integrated Crop–Livestock Systems at Regional Scale in Brazil: A Big Earth Observation Data Approach. Remote Sensing, 14 (7). doi:10.3390/rs14071648
Bégué, Agnès, Arvor, Damien, Bellon, Beatriz, Betbeder, Julie, de Abelleyra, Diego, P. D. Ferraz, Rodrigo, Lebourgeois, Valentine, Lelong, Camille, Simões, Margareth, R. Verón, Santiago (2018) Remote Sensing and Cropping Practices: A Review. Remote Sensing, 10 (2). doi:10.3390/rs10010099
Funatsu, Beatriz M., Dubreuil, Vincent, Claud, Chantal, Arvor, Damien, Gan, Manoel A. (2012) Convective activity in Mato Grosso state (Brazil) from microwave satellite observations: Comparisons between AMSU and TRMM data sets. Journal of Geophysical Research: Atmospheres, 117. doi:10.1029/2011jd017259
Bellón, Beatriz, Bégué, Agnès, Lo Seen, Danny, de Almeida, Claudio, Simões, Margareth (2017) A Remote Sensing Approach for Regional-Scale Mapping of Agricultural Land-Use Systems Based on NDVI Time Series. Remote Sensing, 9 (6). doi:10.3390/rs9060600
Mulianga, Betty, Bégué, Agnès, Simoes, Margareth, Todoroff, Pierre (2013) Forecasting Regional Sugarcane Yield Based on Time Integral and Spatial Aggregation of MODIS NDVI. Remote Sensing, 5 (5). doi:10.3390/rs5052184
Arvor, Damien, Funatsu, Beatriz, Michot, Véronique, Dubreuil, Vincent (2018) Addendum: Arvor, D. et al. Monitoring Rainfall Patterns in the Southern Amazon with PERSIANN-CDR Data: Long-Term Characteristics and Trends. Remote Sens. 2017, 9, 889. Remote Sensing, 10 (1). doi:10.3390/rs10010128
Arvor, Damien, Funatsu, Beatriz, Michot, Véronique, Dubreuil, Vincent (2017) Monitoring Rainfall Patterns in the Southern Amazon with PERSIANN-CDR Data: Long-Term Characteristics and Trends. Remote Sensing, 9 (9). doi:10.3390/rs9090889
 
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