[HTML][HTML] Recent advances of hyperspectral imaging technology and applications in agriculture

B Lu, PD Dao, J Liu, Y He, J Shang - Remote Sensing, 2020 - mdpi.com
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …

NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

K Cawse-Nicholson, PA Townsend, D Schimel… - Remote sensing of …, 2021 - Elsevier
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

S Wang, K Guan, C Zhang, DK Lee… - Remote Sensing of …, 2022 - Elsevier
Soil organic carbon (SOC) is a key variable to determine soil functioning, ecosystem
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …

Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

J ** and monitoring
S Chabrillat, E Ben-Dor, J Cierniewski, C Gomez… - Surveys in …, 2019 - Springer
There is a renewed awareness of the finite nature of the world's soil resources, growing
concern about soil security and significant uncertainties about the carrying capacity of the …

High resolution map** of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia

B Wang, C Waters, S Orgill, J Gray, A Cowie… - Science of the Total …, 2018 - Elsevier
Efficient and effective modelling methods to assess soil organic carbon (SOC) stock are
central in understanding the global carbon cycle and informing related land management …