Leibniz Centre for Agricultural Landscape Research (ZALF) (DE)
ADM Kenya project aims to co-develop solutions for monitoring crop condition and cropping systems with EO time-series observations to derive evidence-based quantitative vegetation condition estimates with high spatial and temporal resolution. We will develop novel EO-based solutions for drought monitoring at a national scale in Kenya.
ADM Kenya will provide cloud-based processing algorithms that will allow improving spatially explicit drought hazard/impact analysis. Furthermore, the project aims to develop drought-relevant agricultural information. This includes high-resolution crop management information based on multisource remote sensing data such as irrigation (at a national level) and contextual (localized) information on cropping practices (for pilot areas). For contextualization/validation, we develop innovative data fusion approaches based on field observations.