The objective of this study is to investigate the potential of multitemporal remote sensing images for crop classification.
Jan 14, 2020 � The land use/land cover classification was carried out using the Normalized Difference Vegetation Index (NDVI) with Landsat-8 satellite data (�...
Final map obtained by classifying multi-temporal Landsat-8 imagery using a committee of MLP classifiers. Target accuracy of 85% (in terms of both producer's and�...
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What is the effect of pan sharpening multi temporal Landsat 8 imagery for crop type differentiation using different classification techniques?
What are the Landsat 8 band combinations for agriculture?
What are the classification of Landsat 8?
What are the crop types classification?
Nguyen et al. (2020) applied a spatiotemporal–spectral deep neural network to classify crop areas based on Landsat-8 imagery. LSTM and a 3D-CNN�...
This article describes the use of Landsat 8 OLI data for the classification of crops in Hokkaido, Japan. In addition to reflectance, VIs calculated from simple�...
This article describes the use of Landsat 8 OLI data for the classification of crops in Hokkaido, Japan. In addition to reflectance, VIs calculated from simple�...
May 30, 2018 � The presented progressive classification algorithm identifies crop types based on their phenological development and their corresponding reflectance�...
The proposed approach is applied for regional scale crop classification using multi temporal Landsat-8 images for the JECAM test site in Ukraine in 2013.
We conclude that pan-sharpening Landsat 8 imagery is highly beneficial for classifying agricultural fields whether an object- or pixel-based approach is used.
This paper presents a review of the conducted research in the field of multitemporal classification methods used for the automatic identification of crops and�...