Research in Environmental Sensors, Embedded Systems, and Remote Sensing draws on a wide variety of scientific and engineering disciplines and approaches that advance the state-of-the-art in geoscience remote sensing instrumentation and technologies that improve knowledge for the betterment of society and the global environment.  This work often supports scientific investigations with the design and development of hardware (RF engineering, Microwave and mm-wave circuits, Antennas, active and passive microwave remote sensing, sensor networks) and data processing (applied EM, signal processing for remote sensing data, imaging, scattering modeling/theory) techniques used in geophysics, geology, hydrology, meteorology, and planetary science. Examples include operating systems, networks, and software design, especially for embedded systems, wireless technology such as battery-free sensing, low-cost low-power communication and IoT systems, the development and application of science-optimized geophysical radar systems, new techniques and tools, specifically new programming languages, compilers, and runtime systems, that enable end-users to more easily develop computations that exploit the potential of emerging computing platforms that exhibit analog behaviors, interferometric radar remote sensing applications and technique development, large-scale monitoring, sensor fusion, data analytics and stochastic control for infrastructure networks, low-power and smart-power ASICs, mixed-signal integrated circuit design, including sensor interfaces, data conversion, high-speed communication, and embedded machine learning, computational photography, low-power mixed-signal circuit design, next generation high capacity wireless networks using techniques from information and coding theory,  end-to-end design of high-performance RF and Microwave electronic systems, new physical phenomena, to designing electronic systems (with custom silicon ICs).