Add to ORKGThe new approach for crop identification based on MODIS data is described. Algorithms of images pre-processing and crops identification are discussed. The proposed methods are tested based on district statistical crop acreage data for Rostov and Krasnodar regions of Russia.JRC.G.3-Agricultur
In the paper we describe the results of a pilot project on crop area estimation with satellite image...
Regarding environmental changes and more extreme weather conditions, forecasting crop yields and cap...
Estimations of crop area were made based on the temporal profiles of the Enhanced Vegetation Index (...
Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possi...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
© 2020 Kazan Federal University. All rights reserved. In the study, a method of automated detection ...
The paper describes the causes of abandonment of agricultural land in various regions of the world, ...
Classification of selected agricultural crops from time series of Sentinel-2 and PlanetScope imagery...
Remote sensing provides a lucid and effective means for crop coverage identification. Crop coverage ...
A remote sensing approach is needed for identifying and classifying crops accurately as the traditio...
The concept of digitalization of agricultural production in the Russian Federation provides for the ...
In Russia, many lands legally classified as agricultural land are abandoned. We propose an algorithm...
The work is devoted to the technique of mapping of cultivated and abandoned croplands in areas of th...
Current work reports a case study of using ILWIS GIS for satellite image classification aimed at agr...
In the paper we describe the results of a pilot project on crop area estimation with satellite image...
Regarding environmental changes and more extreme weather conditions, forecasting crop yields and cap...
Estimations of crop area were made based on the temporal profiles of the Enhanced Vegetation Index (...
Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possi...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
Recent developments in remote sensing technology, in particular improved spatial and temporal resolu...
© 2020 Kazan Federal University. All rights reserved. In the study, a method of automated detection ...
The paper describes the causes of abandonment of agricultural land in various regions of the world, ...
Classification of selected agricultural crops from time series of Sentinel-2 and PlanetScope imagery...
Remote sensing provides a lucid and effective means for crop coverage identification. Crop coverage ...
A remote sensing approach is needed for identifying and classifying crops accurately as the traditio...
The concept of digitalization of agricultural production in the Russian Federation provides for the ...
In Russia, many lands legally classified as agricultural land are abandoned. We propose an algorithm...
The work is devoted to the technique of mapping of cultivated and abandoned croplands in areas of th...
Current work reports a case study of using ILWIS GIS for satellite image classification aimed at agr...
In the paper we describe the results of a pilot project on crop area estimation with satellite image...
Regarding environmental changes and more extreme weather conditions, forecasting crop yields and cap...
Estimations of crop area were made based on the temporal profiles of the Enhanced Vegetation Index (...