MDPI AG

12件中 1~10件 (日付順)
査読付論文
Remote Sensing所収
著者:
Jozdani
Shahab
Chen
Dongmei
Chen
Wenjun
Leblanc
Sylvain
Prévost
Christian
Lovitt
Julie
He
Liming

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...

査読付論文
Land所収
著者:
Gharechelou
Saeid
Tateishi
Ryutaro

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...

査読付論文
Sustainability所収

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...

査読付論文
Remote Sensing所収
著者:

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...

査読付論文
Remote Sensing所収
著者:
Jozdani
Shahab
Chen
Dongmei

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...

査読付論文
Geosciences所収
著者:
Minh
Huynh Vuong Thu
Avtar
Ram
Tran
Dat Q.
Ty
Tran Van
Behera
Hari Charan
Kurasaki
Masaaki

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...

査読付論文
Remote Sensing所収
著者:
Gharechelou
Saeid
Tateishi
Ryutaro

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...

査読付論文
Remote Sensing所収
著者:
Georganos
Stefanos
Grippa
Tais
Lennert
Moritz
Wolff
Eléonore

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...

査読付論文
Remote Sensing所収
著者:
Vahidi
Hossein
Klinkenberg
Brian
Moskal
L. Monika
Yan
Wanglin

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...

査読付論文
Remote Sensing所収
著者:

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...