Review on multitemporal classification methods of satellite images for crop and arable land recognition
J Pluto-Kossakowska - Agriculture, 2021 - mdpi.com
This paper presents a review of the conducted research in the field of multitemporal
classification methods used for the automatic identification of crops and arable land using …
classification methods used for the automatic identification of crops and arable land using …
The utility of airborne hyperspectral and satellite multispectral images in identifying Natura 2000 non-forest habitats for conservation purposes
A Jarocińska, D Kopeć, J Niedzielko, J Wylazłowska… - Scientific Reports, 2023 - nature.com
Aerial hyperspectral and multispectral satellite data are the two most commonly used
datasets to identify natural and semi-natural vegetation. However, there is no documented …
datasets to identify natural and semi-natural vegetation. However, there is no documented …
Optimal Time Phase Identification for Apple Orchard Land Recognition and Spatial Analysis Using Multitemporal Sentinel-2 Images and Random Forest Classification
Y Yan, X Tang, X Zhu, X Yu - Sustainability, 2023 - mdpi.com
The significance of identifying apple orchard land and monitoring its spatial distribution
patterns is increasing for precise yield prediction and agricultural sustainable development …
patterns is increasing for precise yield prediction and agricultural sustainable development …
[PDF][PDF] Review on Multitemporal Classification Methods of Satellite Images for Crop and Arable Land Recognition. Agriculture 2021, 11, 999
J Pluto-Kossakowska - 2021 - academia.edu
This paper presents a review of the conducted research in the field of multitemporal
classification methods used for the automatic identification of crops and arable land using …
classification methods used for the automatic identification of crops and arable land using …