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

[1]  M. Montesano,et al.  Changes in Rice Farming in the Philippines: Insights from Five Decades of a Household-Level Survey by Piedad Moya, Kei Kajisa, Randolph Barker, Samarendu Mohanty, Fe Gascon, and Mary Rose San Valentine (review) , 2017 .

[2]  Lorenzo Busetto,et al.  MODIStsp: An R package for automatic preprocessing of MODIS Land Products time series , 2016, Comput. Geosci..

[3]  Lorenzo Busetto,et al.  Testing estimation of water surface in Italian rice district from MODIS satellite data , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[4]  K. Manjunath,et al.  Mapping of rice-cropping pattern and cultural type using remote-sensing and ancillary data: a case study for South and Southeast Asian countries , 2015 .

[5]  G. Gregorio,et al.  Farmers’ Preference for Rice Traits: Insights from Farm Surveys in Central Luzon, Philippines, 1966-2012 , 2015, PloS one.

[6]  Lorenzo Busetto,et al.  Assimilating seasonality information derived from satellite data time series in crop modelling for rice yield estimation , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[7]  Steffen Fritz,et al.  Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps , 2015, Remote. Sens..

[8]  Lorenzo Busetto,et al.  Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan , 2015, Remote. Sens..

[9]  Francesco Holecz,et al.  Rice Crop Monitoring and Yield Estimation Through Cosmo Skymed and TerraSAR-X: A SAR-Based Experience in India , 2015 .

[10]  Alicia Palacios-Orueta,et al.  Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod , 2015 .

[11]  Christopher O. Justice,et al.  A Framework for Defining Spatially Explicit Earth Observation Requirements for a Global Agricultural Monitoring Initiative (GEOGLAM) , 2015, Remote. Sens..

[12]  Andrew K. Skidmore,et al.  Complementarity of Two Rice Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR , 2014, Remote. Sens..

[13]  R. Hijmans,et al.  Soil quality and constraints in global rice production , 2014 .

[14]  Luca Gatti,et al.  Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project , 2014, Remote. Sens..

[15]  Danny Lo Seen,et al.  How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes? , 2014, Remote. Sens..

[16]  Mark A. Friedl,et al.  Mapping Asian Cropping Intensity With MODIS , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[17]  T. Chanwimaluang,et al.  Rice cultivation and harvest date identification based on a hidden Markov model , 2014, 2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).

[18]  Quazi K. Hassan,et al.  Development of a Remote Sensing-Based "Boro" Rice Mapping System , 2014, Remote. Sens..

[19]  M. Boschetti,et al.  Comparative Analysis of Normalised Difference Spectral Indices Derived from MODIS for Detecting Surface Water in Flooded Rice Cropping Systems , 2014, PloS one.

[20]  M. Fitzgerald,et al.  Diversity of Global Rice Markets and the Science Required for Consumer-Targeted Rice Breeding , 2014, PloS one.

[21]  Itsuo Kumazawa,et al.  Estimated rice cultivation date using an extended Kalman filter on MODIS NDVI time-series data , 2013, 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[22]  Mirco Boschetti,et al.  Testing automatic procedures to map rice area and detect phenological crop information exploiting time series analysis of remote sensed MODIS data , 2012, Remote Sensing.

[23]  Thi Thu Ha Nguyen,et al.  Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis , 2012 .

[24]  F. Baret,et al.  Crop specific green area index retrieval from MODIS data at regional scale by controlling pixel-target adequacy , 2011 .

[25]  T. L. Toan,et al.  Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta , 2011 .

[26]  Xiangming Xiao,et al.  Quantifying the area and spatial distribution of double- and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005 , 2011 .

[27]  Dailiang Peng,et al.  Detection and estimation of mixed paddy rice cropping patterns with MODIS data , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[28]  M. Boschetti,et al.  Multi-year monitoring of rice crop phenology through time series analysis of MODIS images , 2009 .

[29]  David P. Roy,et al.  Southern Africa Validation of the MODIS, L3JRC, and GlobCarbon Burned-Area Products , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Changsheng Li,et al.  Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images , 2006 .

[31]  Hiroyuki Ohno,et al.  Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers , 2006 .

[32]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[33]  Stefano Bocchi,et al.  Evaluation of CropSyst for simulating the yield of flooded rice in northern Italy , 2005 .

[34]  T. Sakamoto,et al.  A crop phenology detection method using time-series MODIS data , 2005 .

[35]  Changsheng Li,et al.  Mapping paddy rice agriculture in southern China using multi-temporal MODIS images , 2005 .

[36]  S. Flasse,et al.  Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The Pareto Boundary , 2004 .

[37]  V. Gond,et al.  Surveillance et cartographie des plans d'eau et des zones humides et inondables en régions arides avec l'instrument VEGETATION embarqué sur SPOT-4 , 2004 .

[38]  Yan Li,et al.  Towards an operational system for regional-scale rice yield estimation using a time-series of Radarsat ScanSAR images , 2003 .

[39]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[40]  Changsheng Li,et al.  Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data , 2002 .

[41]  P. Barbosa,et al.  Performance of several Landsat 5 Thematic Mapper (TM) image classification methods for crop extent estimates in an irrigation district , 1996 .

[42]  M. Boschetti,et al.  Variations in rice cultivation practices in the Senegal River Valley between 2003 and 2014: an analysis based on MODIS time series , 2016 .

[43]  Kei Kajisa,et al.  Changes in Rice Farming in the Philippines: Insights from five decades of a household-level survey , 2015 .

[44]  Prasad S. Thenkabail,et al.  Mapping rice areas of South Asia using MODIS multitemporal data , 2011 .

[45]  Andrew Nelson,et al.  Emerging trends and spatial patterns of rice production , 2010 .

[46]  Combal Bruno,et al.  Retrieving Phenological Stages from Low Resolution Earth Observation Data , 2010 .

[47]  S. Jagadish,et al.  Climate change affecting rice production: the physiological and agronomic basis for possible adaptation strategies , 2009 .

[48]  Keijiro Otsuka,et al.  Increasing Rice Production in Sub-Saharan Africa: Challenges and Opportunities , 2007 .

[49]  Z. Wan Collection-5 MODIS Land Surface Temperature Products Users' Guide , 2006 .

[50]  H. Fang,et al.  Using NOAA AVHRR and landsat TM to estimate rice area year-by-year , 1998 .

[51]  Russell G. Congalton,et al.  Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain , 1998 .

[52]  Thuy Le Toan,et al.  Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results , 1997, IEEE Trans. Geosci. Remote. Sens..

[53]  Istituto nazionale di economia agraria Annuario dell'agricoltura italiana , 1980 .