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Results 1 - 10 of 12 (Sorted by date)
Peer-reviewed Article
In Remote Sensing
Author:
Shahab
Jozdani
Dongmei
Chen
Wenjun
Chen
Sylvain
Leblanc
Christian
Prévost
Julie
Lovitt
Liming
He

Lichen is an important food source for caribou in Canada. Lichen mapping using remote sensing (RS) images could be a challenging task, however, as lichens generally appear in unevenly distributed, small patches, and could resemble surficial features. Moreover, collecting lichen labeled data (reference data) is expensive, which restricts the...

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 Sustainability

Addressing the prevailing mode of high-carbon lifestyles is crucial for the transition towards a net-zero carbon society. Existing studies fail to fully investigate the underlining factors of unsustainable lifestyles beyond individual determinants nor consider the gaps between current footprints and reduction targets. This study examines latent...

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 Geosciences
Author:
Huynh Vuong Thu
Minh
Ram
Avtar
Dat Q.
Tran
Tran Van
Ty
Hari Charan
Behera
Masaaki
Kurasaki

Along with rapid population growth in Vietnam, there is an increasing dependence on groundwater for various activities. An Giang province is known to be one of the agricultural intensification areas of The Vietnamese Mekong Delta (VMD). This study aimed to evaluate the spatiotemporal variation of groundwater quality for a period of ten years from...

Peer-reviewed Article
In Remote Sensing
Author:
Saeid
Gharechelou
Ryutaro
Tateishi

Generally, the characterization of land surface roughness is obtained from the analysis of height variations observed along transects (e.g., root mean square (RMS) height, correlation length, and autocorrelation function). These surface roughness measurements are then used as inputs for surface dynamics modeling, e.g., for soil erosion modeling...

Peer-reviewed Article
In Remote Sensing
Author:
Stefanos
Georganos
Tais
Grippa
Moritz
Lennert
Eléonore
Wolff

To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis (GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover maps. A crucial step in GEOBIA is the appropriate parametrization of the segmentation algorithm prior to the classification. However, little effort has been made to automatically...

Peer-reviewed Article
In Remote Sensing
Author:
Hossein
Vahidi
Brian
Klinkenberg
L. Monika
Moskal
Wanglin
Yan

This paper presents a collective sensing approach that integrates imperfect Volunteered Geographic Information (VGI) obtained through Citizen Science (CS) tree mapping projects with very high resolution (VHR) optical remotely sensed data for low-cost, fine-scale, and accurate mapping of trees in urban orchards. To this end, an individual tree crown...

Peer-reviewed Article
In Remote Sensing
Author:
Shahab
Jozdani

The advent of very high resolution (VHR) satellite imagery and the development of Geographic Object-Based Image Analysis (GEOBIA) have led to many new opportunities for fine-scale land cover mapping, especially in urban areas. Image segmentation is an important step in the GEOBIA framework, so great time/effort is often spent to ensure that...