This online training module will provide participants with the necessary theoretical and practical knowledge for getting started with vegetation and drought monitoring based on satellite EO data.
It will introduce the general concept of EO-based vegetation/drought monitoring, the different types of potentially useful EO data, relevant sensors and derived data products as well as different analysis techniques that can be employed to derive information from the satellite observations.
The participants will have the opportunity to apply knowledge gained on Drought Monitoring by completing two hands-on (1-day) practical exercises; one focused on Rangelands and the second one on Agricultural Productivity.
From early 2000 onwards, the availability of high-quality Hyper-Temporal (HT) EO, has created an enormous number of additional possibilities to map and detect changes as required to monitor impacts (successes or failures).
Use of the dimensions "space & time" now lets us study and work on issues that earlier remained "out-of-reach" and remained "unanswered", like:
creating benchmark maps that clearly include important temporal characteristics.
exploring the potential of the temporal dimension of satellite EO data for monitoring vegetation dynamics and land cover/land use changes over longer periods of time.
Optional: Webinar on "HT-Mapping of Ecological Systems"
Optional: MOOC on " Monitoring Vegetation Dynamics from Space"
In addition, skills to link agro-ecological conditions to crop requirements will be practiced using tools like GAEZ, EcoCrop and CropBase.
The participants will further practice knowledge gained using Hyper-Temporal imagery to map and to monitor agro-ecosystems (2 days each!).
The ever-increasing spatial resolution offered by the newest generation of satellite sensors allow us to monitor agricultural production at the scale of an individual parcel and to quantitatively estimate or predict productivity.
This course will provide/present participants with
the most relevant data sources and data analysis techniques related to parcel-based crop monitoring and crop yield estimation.
knowledge on the primary plant function “photosynthesis” with the aim to better understand the role of evaporation, plus various qualitative and quantitative means to assess how lack of evaporation may impede a crop’s ability to convert CO2 and H20 into carbohydrates.
Practical assignments to use fPar and ETa to quantitatively assess crop production.