Sugar Cane Crop Analysis, Production, Detection, Health, Change

Chapter Contents (Back)
Classification. Suger Cane.

Silva, W.F.[Wagner F.], Rudorff, B.F.T.[Bernardo F.T.], Formaggio, A.R.[Antonio R.], Paradella, W.R.[Waldir R.], Mura, J.C.[Jose C.],
Discrimination of agricultural crops in a tropical semi-arid region of Brazil based on L-band polarimetric airborne SAR data,
PandRS(64), No. 5, September 2009, pp. 458-463.
Elsevier DOI 0910
Remote sensing; Classification; Multi-polarization; Contextual classifier; Image classification BibRef

Formaggio, A.R.[Antonio R.], Vieira, M.A., Rennó, C.D., Aguiar, D.A., Mello, M.P.,
Object-Based Image Analysis and Data Mining for Mapping Sugarcane with Landsat Imagery in Brazil,
PDF File. 1007

Rudorff, B., Aguiar, D., Silva, W., Sugawara, L., Adami, M., Moreira, M.,
Studies on the Rapid Expansion of Sugarcane for Ethanol Production in São Paulo State (Brazil) Using Landsat Data,
RS(2), No. 4, April 2010, pp. 1057-1076.
DOI Link 1203
Award, Remote Sensing, Second. 2014. See:
DOI Link BibRef

Aguiar, D., Rudorff, B., Silva, W., Adami, M., Mello, M.,
Remote Sensing Images in Support of Environmental Protocol: Monitoring the Sugarcane Harvest in São Paulo State, Brazil,
RS(3), No. 12, December 2011, pp. 2682-2703.
DOI Link 1203

Miphokasap, P., Honda, K., Vaiphasa, C., Souris, M., Nagai, M.,
Estimating Canopy Nitrogen Concentration in Sugarcane Using Field Imaging Spectroscopy,
RS(4), No. 6, June 2012, pp. 1651-1670.
DOI Link 1208

Adami, M., Mello, M.P., Aguiar, D.A., Rudorff, B.F.T., Souza, A.,
A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil,
RS(4), No. 10, October 2012, pp. 3201-3214.
DOI Link 1210

Duveiller, G., López-Lozano, R., Baruth, B.,
Enhanced Processing of 1-km Spatial Resolution fAPAR Time Series for Sugarcane Yield Forecasting and Monitoring,
RS(5), No. 3, March 2013, pp. 1091-1116.
DOI Link 1304

Mulianga, B.[Betty], Bégué, A.[Agnès], Simoes, M.[Margareth], Todoroff, P.[Pierre],
Forecasting Regional Sugarcane Yield Based on Time Integral and Spatial Aggregation of MODIS NDVI,
RS(5), No. 5, 2013, pp. 2184-2199.
DOI Link 1307

Morel, J.[Julien], Todoroff, P.[Pierre], Bégué, A.[Agnès], Bury, A.[Aurore], Martiné, J.F.[Jean-François], Petit, M.[Michel],
Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island,
RS(6), No. 7, 2014, pp. 6620-6635.
DOI Link 1408

Mulianga, B.[Betty], Bégué, A.[Agnès], Clouvel, P.[Pascal], Todoroff, P.[Pierre],
Mapping Cropping Practices of a Sugarcane-Based Cropping System in Kenya Using Remote Sensing,
RS(7), No. 11, 2015, pp. 14428.
DOI Link 1512

Luna, I.[Inti], Lobo, A.[Agustín],
Mapping Crop Planting Quality in Sugarcane from UAV Imagery: A Pilot Study in Nicaragua,
RS(8), No. 6, 2016, pp. 500.
DOI Link 1608

Silva, A.L.[Alindomar Lacerda], Alves, D.S.[Diógenes Salas], Ferreira, M.P.[Matheus Pinheiro],
Landsat-Based Land Use Change Assessment in the Brazilian Atlantic Forest: Forest Transition and Sugarcane Expansion,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808

do Valle Gonçalves, R.R., Zullo, J., Romani, L.A.S., do Amaral, B.F., Sousa, E.P.M.,
Agricultural monitoring using clustering techniques on satellite image time series of low spatial resolution,
data visualisation, feature extraction, geophysical image processing, image resolution, time series, Sugarcane BibRef

Scrivani, R., Zullo, J., Romani, L.A.S.,
SITS for estimating sugarcane production,
vegetation mapping, Brazil, Sa~o Paulo, agrometeorological data, correlation coefficient, environmental data, time series BibRef

Baloloy, A.B., Blanco, A.C., Gana, B.S., Santa Ana, R.C., Olalia, L.C.,
Landsat-Based Detection and Severity Analysis of Burned Sugarcane Plots in Tarlac, Philippines Using Differenced Normalized Burn Ratio (dNBR),
DOI Link 1612

Santos Romani, L.A.[L. Alvim], do Valle Goncalves, R.R.[R. Ribeiro], Amaral, B.F., Chino, D.Y.T., Zullo, J., Traina, C., Sousa, E.P.M., Traina, A.J.M.,
Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops,

do Valle Goncalves, R.R.[R. Ribeiro], Zullo, J., Peron, T.M.[T. Marques], Medeiros Evangelista, S.R., Santos Romani, L.A.[L. Alvim],
Numerical models to forecast the sugarcane production in regional scale based on time series of NDVI/AVHRR images,
agricultural engineering BibRef

do Valle Goncalves, R.R.[R. Ribeiro], Zullo, J., Ferraresso, C.S., Sousa, E.P.M., Santos Romani, L.A.[L. Alvim], Traina, A.J.M.,
Analysis of NOAA/AVHRR multitemporal images, climate conditions and cultivated land of sugarcane fields applied to agricultural monitoring,

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Vineyard Analysis, Grapes, Production, Detection, Health, Change .

Last update:Aug 16, 2018 at 18:22:30