Dr.
Brian JOHNSON

Results 1 to 10 of 86 (Sorted by date)
Peer-reviewed Article
In Global Ecology and Conservation
Owing to the huge number of species observations that can be collected by non-professional scientists, “citizen science” has great potential to contribute to scientific knowledge on invasive alien species (IAS). Citizen science has existed for centuries, but the recent adoption of information and communications technology (ICT) in this field (e.g...
Peer-reviewed Article
In Land
Author:
Saeid
Gharechelou
Ryutaro
Tateishi
In this study, we measured and characterized the relative dielectric constant of mineral soils over the 0.3–3.0 frequency range, and compared our measurements with values of three dielectric constant simulation models (the Wang, Dobson, and Mironov models). The interrelationship between land cover and soil texture with respect to the dielectric...
Peer-reviewed Article
In ISPRS Journal of Photogrammetry and Remote Sensing
Author:
Lin
Gao
Xiaofei
Wang
Qingiu
Tian
Yu
Wang
Jochem
Verrelst
Xihan
Mu
Xingfa
Gu
Green fractional vegetation cover (fc) is an important phenotypic factor in the fields of agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation abundance (RA) algorithms, especially those based on scaled maximum/minimum vegetation index (VI) values, has been widely investigated in remote sensing research...
Peer-reviewed Article
In International Journal of Environmental Research and Public Health
Author:
Manish
Ramaiah
Ram
Avtar
Binaya Kumar
Mishra
Just a few decades ago, Adyar River in India’s city of Chennai was an important source of water for various uses. Due to local and global changes (e.g., population growth and climate change), its ecosystem and overall water quality, including its aesthetic value, has deteriorated, and the water has become unsuitable for commercial uses. Adverse...
Peer-reviewed Article
In Remote Sensing
Author:
Shahab
Jozdani
Local climate zone (LCZ) maps are increasingly being used to help understand and model the urban microclimate, but traditional land use/land cover map (LULC) accuracy assessment approaches do not convey the accuracy at which LCZ maps depict the local thermal environment. 17 types of LCZs exist, each having unique physical characteristics that...
Peer-reviewed Article
In Remote Sensing
Author:
Shahab
Jozdani
Dongmei
Chen
With the advent of high-spatial resolution (HSR) satellite imagery, urban land use/land cover (LULC) mapping has become one of the most popular applications in remote sensing. Due to the importance of context information (e.g., size/shape/texture) for classifying urban LULC features, Geographic Object-Based Image Analysis (GEOBIA) techniques are...
Peer-reviewed Article
In Proceedings of the International Cartographic Association
Author:
Parks and other public green spaces (hereafter “urban green spaces”) provide many benefits to urban dwellers, but some residents receive few benefits due to a lack of urban green spaces nearby their home/workplace. Understanding spatial variations in urban green space accessibility is thus important for urban planning. As a case study, here we...
Peer-reviewed Article
In Proceedings of the International Cartographic Association
OpenStreetMap (OSM) has become one of the largest sources of volunteered geographic information (VGI), and the data is now used for a wide range of applications. A massively popular augmented reality game, Pokémon GO, recently adopted OSM data for its in-game map and many of its in-game mechanics. This study investigated: (1) How Pokémon GO...
Peer-reviewed Article
In 環境科学会誌
Author:
Minami
Sakamoto
Akio
Onishi
Although greenery in urban areas has many functions, such as mitigation of the urban heat island effect, and reduction of rainfall-induced surface runoff, it is difficult to secure the space required to plant trees in cities, which are crowded with buildings. Therefore, rooftop greening has attracted attention and many cities are adopting and...
Peer-reviewed Article
In ISPRS Journal of Photogrammetry and Remote Sensing
Author:
Lei
Ma
Yu
Liu
Xueliang
Zhang
Yuanxin
Ye
Gaofei
Lin
Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few years. In this study, the major DL concepts pertinent to remote-sensing are introduced, and more than 200 publications in this field, most of which were published during the last two years, are reviewed and analyzed. Initially, a...
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