Operational Monitoring of the Agricultural Production Based on the Observational MODIS Data as a Support for Improving Regional Planning

摘要

The SRIA-Centre supported by the Rostov-on-Don region administration is realizing a large-area change detection program using MODIS/TERRA data. This program is the initiative for gathering, storing and assessing environmental information for Rostov region on the base of remote sensing, local and common-used knowledge and science integration. The goal is to implement a long-term and high quality operational monitoring of environmental data as a support for improving regional planning and management in relevant decision-making communities. The MODIS imagery offers an opportunity for a daily coverage required for operational applications. The objective of this research is to assess the application of MODIS data for operation crop conditions and yields of the winter wheat as the major sources of the yield production in this region. Thematic analysis of MODIS radiometer data is made with use of supervised classification techniques which require to define training classes of vegetation condition prior to execution.