Winter crop masks, based on MODIS satellite data, are regularly laid out from the Internet service VEGA as one of the operational products. The information of the quality of such masks is important for practical use, however this information is not available on the VEGA service. The article presents some results of the field verification of the quality of the winter crop mask laid out on the site on May 12, 2017 in Moscow and Tula regions of Russia. It is found out that MODIS pixels identified on the mask as 'winter crop' cannot cover the entire arable plot, but can also 'grab' adjacent fields. There are many cases where within the plot there are only few pixels identified as 'winter crops'. Most likely this is due to the status of winter c...
Crop yield modeling at the regional level is one of the most important methods to ensure the profita...
Monitoring and forecasting crop yields is a critical component of understanding and better addressin...
Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possi...
Winter crop masks, based on MODIS satellite data, are regularly laid out from the Internet service V...
Crop mapping over large regions is a prerequisite for crop growth monitoring as pointed out in the G...
One of the basic products of the Internet service VEGA is the cartograms of the vegetative index NDV...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
In Russia, many lands legally classified as agricultural land are abandoned. We propose an algorithm...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
The article presents data on the state of the surveyed fields of winter wheat and spring barley of t...
Monitoring agriculture at regional to global scales with remote sensing requires the use of sensors ...
The article presents the results of analysis of winter cereals spectral reflectance characteristics ...
This paper presents some exploratory results of the FP-7 MOCCCASIN project that aims to MOnitor Crop...
The exploitation of new high revisit frequency satellite observations is an important opportunity fo...
Accurate cropland information is of paramount importance for crop monitoring. This study compares fi...
Crop yield modeling at the regional level is one of the most important methods to ensure the profita...
Monitoring and forecasting crop yields is a critical component of understanding and better addressin...
Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possi...
Winter crop masks, based on MODIS satellite data, are regularly laid out from the Internet service V...
Crop mapping over large regions is a prerequisite for crop growth monitoring as pointed out in the G...
One of the basic products of the Internet service VEGA is the cartograms of the vegetative index NDV...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
In Russia, many lands legally classified as agricultural land are abandoned. We propose an algorithm...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
The article presents data on the state of the surveyed fields of winter wheat and spring barley of t...
Monitoring agriculture at regional to global scales with remote sensing requires the use of sensors ...
The article presents the results of analysis of winter cereals spectral reflectance characteristics ...
This paper presents some exploratory results of the FP-7 MOCCCASIN project that aims to MOnitor Crop...
The exploitation of new high revisit frequency satellite observations is an important opportunity fo...
Accurate cropland information is of paramount importance for crop monitoring. This study compares fi...
Crop yield modeling at the regional level is one of the most important methods to ensure the profita...
Monitoring and forecasting crop yields is a critical component of understanding and better addressin...
Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possi...