The role of artificial ditches and their buffer zones in intensively utilized agricultural landscape.

The extensive construction of drainage systems in the lowlands and flood plains of Slovakia has significantly changed the landscape and runoff ratios of rivers. Our study focuses on the assessment of the benefits provided by the ecosystems of water ditches and their catchment areas. Ditches and their buffer zone, similarly to other artificial anthropogenic elements in the country, fulfil various landscape-ecological functions and provide different ecosystem services (ESs) to human populations and society. As study areas, we chose ditches and their 1-km buffer zones in the Podunajská nízina (P) lowland and Východoslovenská nízina (V) lowland (Slovakia). There are notable differences between these two selected lowlands. Hence, there are also differences in their potential to provide various ESs. Based on a re-evaluation of the present state of the ditches, we evaluated nine ESs related to three main groups of ESs, using the Common International Classification of Ecosystem Services (CICES). We assessed the ESs and benefits provided by ditches and their buffer zone in two ways: (1) ES assessment by experts and (2) biophysical assessment of ESs and their benefits based on an integrated assessment framework (relations between pressures, ecological status, and delivery of ESs). Finally, we compared the potentials for provisioning of the study areas. The study area in the V lowland has the highest potential to provide "Lifecycle maintenance, habitat and gene pool protection" benefits, and the study area in the P lowland has the highest potential to provide "Surface water for non-drinking purposes."

Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery.

Non-photosynthetic vegetation (NPV) biomass has been identified as a priority variable for upcoming spaceborne imaging spectroscopy missions, calling for a quantitative estimation of lignocellulosic plant material as opposed to the sole indication of surface coverage. Therefore, we propose a hybrid model for the retrieval of non-photosynthetic cropland biomass. The workflow included coupling the leaf optical model PROSPECT-PRO with the canopy reflectance model 4SAIL, which allowed us to simulate NPV biomass from carbon-based constituents (CBC) and leaf area index (LAI). PROSAIL-PRO provided a training database for a Gaussian process regression (GPR) algorithm, simulating a wide range of non-photosynthetic vegetation states. Active learning was employed to reduce and optimize the training data set. In addition, we applied spectral dimensionality reduction to condense essential information of non-photosynthetic signals. The resulting NPV-GPR model was successfully validated against soybean field data with normalized root mean square error (nRMSE) of 13.4% and a coefficient of determination (R2) of 0.85. To demonstrate mapping capability, the NPV-GPR model was tested on a PRISMA hyperspectral image acquired over agricultural areas in the North of Munich, Germany. Reliable estimates were mainly achieved over senescent vegetation areas as suggested by model uncertainties. The proposed workflow is the first step towards the quantification of non-photosynthetic cropland biomass as a next-generation product from near-term operational missions, such as CHIME.