Agriculture / Drought
The yield prognosis based on vegetation indices derived from satellite data from NOAA/AVHRR and TERRA/MODIS satellites are made by our specialists.
Within CROP CIS, Geoland2 Global Crop Monitoring module Institute of Geodesy and Cartography has been conducted works related to inter-comparison of various methods for estimating crop acreages and yields in global / regional scale, which are based on multi-temporal remote sensing derived information.
Remote sensing gives information which can be used to discover bad condition for plant growth caused by drought.
The Earth is being monitored continuously by satellites. Data derived from those satellites allows us to monitor agriculture areas and to analyse the conditions of various crops recognition.
The goal of the project is to create pre-demonstration System for Irrigation of crop (potato) fields based on Earth Observation (EO) and in-situ data. The detailed objectives are: 1) to develop and calibrate a model of soil moisture assessment based on S1 and S2 data using in situ results; 2) to validate the SM model using an independent set of measurements, and assess its accuracy, applicability and limitations; 3) to develop the model of irrigation factor value calculation throughout the growth period; 4) to establish a soil moisture and irrigation factor as pre-demonstrator product and present it for validation and provide dissemination between users from agriculture market.
The goal of the project is to create multi-level information System for Drought Monitoring based on Earth Observation (EO) and in-situ data, delivering its services in an operational way for water demanding industry, such as: energy sector, agriculture, environment as surface waters, forest.
Observations of areas with frozen winter cereals are made at the Department of Remote Sensing. There are applied optical images registered from satellites NOAA, TERRA and WorldView-2.
The objectives of the proposal is to develop the method to deliver innovative information on wetlands, forest and crops and their biomass and moisture conditions with high spatial and temporal resolution of ALOS-2 and Sentinel-1 microwave data with different polarization and incidence angle. The optical data from Sentinel-2 will be added and the synergy of information will be designed in order to depict the soil - vegetation features. The vegetation biomass, density, height, soil moisture, vegetation moisture, LAI, APAR, chlorophyll will be measured at the ground during the satellite overpass.
We are carrying out research concerning assessment of soil moisture based on microwave and optical satellite data.
Analysis of snow coverage in country or regional scale is the important element needed for evaluation of crop development conditions. Range and period of covering agricultural areas with snow implies conditions of surviving winter cereals through winter time, as well as it determines water capacity of soils at the beginning of growing season, influencing acceleration or delay in crop development.