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Using Machine Learning to generate an open-access cropland map from
  satellite images time series in the Indian Himalayan Region

Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region

28 March 2022
Danyang Li
Joaquín Gajardo
Michele Volpi
T. Defraeye
ArXivPDFHTML

Papers citing "Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region"

2 / 2 papers shown
Title
Crop mapping from image time series: deep learning with multi-scale
  label hierarchies
Crop mapping from image time series: deep learning with multi-scale label hierarchies
Mehmet Özgür Türkoglu
Stefano Dáronco
Gregor Perich
F. Liebisch
Constantin Streit
Konrad Schindler
Jan Dirk Wegner
87
129
0
17 Feb 2021
Importance of spatial predictor variable selection in machine learning
  applications -- Moving from data reproduction to spatial prediction
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction
H. Meyer
C. Reudenbach
Stephan Wöllauer
T. Nauss
51
289
0
21 Aug 2019
1