Spatially customized land management strategies are crucial for mitigating land degradation and fostering effective landscape restoration. A deep understanding of local biophysical conditions ensures that interventions are both contextually relevant and impactful, promoting long-term environmental sustainability and delivering socio-economic benefits to local communities. With this consideration, this report, drawing on data collected through field surveys, GIS, and remote sensing techniques, uses Halaba, Ethiopia, as a case study to highlight the region’s varied biophysical conditions and their implications for the design and planning of sustainable land management (SLM) practices. This document is intended for agricultural and natural resource management professionals involved in the design, planning, implementation, and monitoring of SLM practices.

This paper reviews the current state of high-resolution remotely sensed soil moisture (SM) and evapotranspiration (ET) products and modeling, and the coupling relationship between SM and ET. SM downscaling approaches for satellite passive microwave products leverage advances in artificial intelligence and high-resolution remote sensing using visible, near-infrared, thermal-infrared, and synthetic aperture radar sensors. Remotely sensed ET continues to advance in spatiotemporal resolutions from MODIS to ECOSTRESS to Hydrosat and beyond. These advances enable a new understanding of bio-geo-physical controls and coupled feedback mechanisms between SM and ET reflecting the land cover and land use at field scale (3–30 m, daily). Still, the state-of-the-science products have their challenges and limitations, which we detail across data, retrieval algorithms, and applications. We describe the roles of these data in advancing 10 application areas: drought assessment, food security, precision agriculture, soil salinization, wildfire modeling, dust monitoring, flood forecasting, urban water, energy, and ecosystem management, ecohydrology, and biodiversity conservation. We discuss that future scientific advancement should focus on developing open-access, high- resolution (3–30 m), sub-daily SM and ET products, enabling the evaluation of hydrological processes at finer scales and revolutionizing the societal applications in data-limited regions of the world, especially the Global South for socio-economic development.

Ongoing food system inequalities and pressures on planetary boundaries requires a paradigm shift among agricultural research for development (AR4D) actors to produce effective innovation for sustainable environmental and social outcomes. Building on insights from Agricultural Innovation System literature and recognizing the influence of personal and systemic biases within AR4D, the following recommendations address upstream challenges, interdisciplinary collaboration, emphasize outcome-driven scaling, adaptive project implementation, and integrate critical considerations for social differentiation.