Review of studies on tree species classification from remotely sensed data
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …
plantations and urban vegetation provides valuable information for nature conservationists …
Challenges and future perspectives of multi-/Hyperspectral thermal infrared remote sensing for crop water-stress detection: A review
Thermal infrared (TIR) multi-/hyperspectral and sun-induced fluorescence (SIF) approaches
together with classic solar-reflective (visible, near-, and shortwave infrared reflectance …
together with classic solar-reflective (visible, near-, and shortwave infrared reflectance …
The ECOSTRESS spectral library version 1.0
Abstract In June 2018, the ECOsystem Spaceborne Thermal Radiometer Experiment on
Space Station (ECOSTRESS) mission was launched to measure plant temperatures and …
Space Station (ECOSTRESS) mission was launched to measure plant temperatures and …
Proximal remote sensing buggies and potential applications for field-based phenotyping
The achievements made in genomic technology in recent decades are yet to be matched by
fast and accurate crop phenotyping methods. Such crop phenotyping methods are required …
fast and accurate crop phenotyping methods. Such crop phenotyping methods are required …
Improved digital soil mapping with multitemporal remotely sensed satellite data fusion: A case study in Iran
S Fathololoumi, AR Vaezi, SK Alavipanah… - Science of the Total …, 2020 - Elsevier
Modeling and mapping of soil properties are critical in many environmental, climatic,
ecological and hydrological applications. Digital soil mapping (DSM) techniques are now …
ecological and hydrological applications. Digital soil mapping (DSM) techniques are now …
Thermal remote sensing for plant ecology from leaf to globe
Surface temperatures are mechanistically linked to vegetation biophysical and physiological
processes. Although remote sensing in the thermal infrared (TIR) domain can offer novel …
processes. Although remote sensing in the thermal infrared (TIR) domain can offer novel …
Early monitoring of forest wood-boring pests with remote sensing
Y Luo, H Huang, A Roques - Annual Review of Entomology, 2023 - annualreviews.org
Wood-boring pests (WBPs) pose an enormous threat to global forest ecosystems because
their early stage infestations show no visible symptoms and can result in rapid and …
their early stage infestations show no visible symptoms and can result in rapid and …
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Fire is a widespread Earth system process with important carbon and climate feedbacks.
Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire …
Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire …
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning
S Hartling, V Sagan, M Maimaitijiang - GIScience & Remote …, 2021 - Taylor & Francis
Urban tree species classification is a challenging task due to spectral and spatial diversity
within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor …
within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor …
Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and …
PS Thenkabail, I Mariotto, MK Gumma… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
The overarching goal of this study was to establish optimal hyperspectral vegetation indices
(HVIs) and hyperspectral narrowbands (HNBs) that best characterize, classify, model, and …
(HVIs) and hyperspectral narrowbands (HNBs) that best characterize, classify, model, and …