PhenoRice: A method for automatic extraction of spatio-temporal information on rice crops using satellite data time series-Reference-Cited by-同舟云学术

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PhenoRice: A method for automatic extraction of spatio-temporal information on rice crops using satellite data time series

Published:2017-06 Issue: Volume:194 Page:347-365
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Boschetti Mirco,Busetto Lorenzo,Manfron Giacinto,Laborte Alice,Asilo Sonia,Pazhanivelan Sellaperumal,Nelson Andrew

Funder

European Union Seventh Framework Program

PRISM

GRISP

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference67 articles.

1. Complementarity of two rice mapping approaches: characterizing strata mapped by hypertemporal modis and rice paddy identification using multitemporal SAR;Asilo;Remote Sens.,2014

2. Increasing rice production in Sub-Saharan Africa: challenges and opportunities;Balasubramanian;Adv. Agron.,2007

3. Performance of several Landsat 5 Thematic Mapper (TM) image classification methods for crop extent estimates in an irrigation district;Barbosa;Int. J. Remote Sens.,1996

4. Quantifying the area and spatial distribution of double- and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005;Biradar;Int. J. Remote Sens.,2011

5. Rice production system in Italy and its sustainability;Bocchi,2003

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