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Assessment of pre-treatment and classification methods for Java paddy field cropping pattern detection on MODIS images

  • Published:2020-01 Issue: Volume:17 Page:100281
  • ISSN:2352-9385
  • Container-title:Remote Sensing Applications: Society and Environment
  • language:en
  • Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Fatikhunnada Alvin,Liyantono ,Solahudin Mohamad,Buono Agus,Kato Tasuku,Seminar Kudang Boro

Funder

Ministry of Research, Technology and Higher Education of the Republic of Indonesia

Sandwich Program from Ministry of Research, Technology and Higher Education of the Republic of Indonesia

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference44 articles.

1. A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America;Atzberger;Int. J. Digit. Earth,2011

2. MODIStsp: an R package for automatic preprocessing of MODIS Land Products time series;Busetto;Comput. Geosci.,2016

3. Performance of smoothing methods for reconstructing NDVI time-series and estimating vegetation phenology from MODIS data;Cai;Remote Sens.,2017

4. Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification;da Silva;Geol. Ecol. Landsc.,2019

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