Measuring and predicting soil moisture conditions for trafficability

Reintam, Endla; Vennik, Kersti; Kukk, Liia; Kade, Siiri; Krebstein, Kadri; Are, Mihkel; Astover, Alar

doi:10.1080/09064710.2016.1210210

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…Moisture and humidity are important factors to access in forestry. Ground moisture, for example, can provide an indication of road trafficability [39], where humidity provides insights in the microclimate below the tree coverage [40]. The important part of moisture and humidity sensors is the fact that they are becoming smaller, cheaper, and more robust.…”

Section: Moisture and Humidity Sensorsmentioning

confidence: 99%

Sensors for Digital Transformation in Smart Forestry

Ehrlich-Sommer,

Hoenigsberger,

Gollob

et al. 2024

Sensors

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Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance forest management while minimizing the environmental impact. The efficacy of AI in this domain is contingent upon the availability of extensive, high-quality data, underscoring the pivotal role of sensor-based data acquisition in the digital transformation of forestry. However, the complexity and challenging conditions of forest environments often impede data collection efforts. Achieving the full potential of smart forestry necessitates a comprehensive integration of sensor technologies throughout the process chain, ensuring the production of standardized, high-quality data essential for AI applications. This paper highlights the symbiotic relationship between human expertise and the digital transformation in forestry, particularly under challenging conditions. We emphasize the human-in-the-loop approach, which allows experts to directly influence data generation, enhancing adaptability and effectiveness in diverse scenarios. A critical aspect of this integration is the deployment of autonomous robotic systems in forests, functioning both as data collectors and processing hubs. These systems are instrumental in facilitating sensor integration and generating substantial volumes of quality data. We present our universal sensor platform, detailing our experiences and the critical importance of the initial phase in digital transformation—the generation of comprehensive, high-quality data. The selection of appropriate sensors is a key factor in this process, and our findings underscore its significance in advancing smart forestry.

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Section: Moisture and Humidity Sensorsmentioning

confidence: 99%

Sensors for Digital Transformation in Smart Forestry

Ehrlich-Sommer,

Hoenigsberger,

Gollob

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Sentinel-1 measurements are only sensitive to soil moisture in the upper surface layer (∼ 5 cm). However, assessment of trafficability requires soil moisture values over the topsoil or critical layer (Droogers et al, 1996;Earl, 1997;Priddy and Willoughby, 2006;Reintam et al, 2016). Although values used in literature vary, this corresponds roughly to the upper 20-30 cm of the soil layer.…”

Section: Introductionmentioning

confidence: 99%