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Haixia Jin, Jingjing Peng, Rutian Bi, Huiwen Tian, Hongfen Zhu and Haoxi Ding
Mapping soil organic carbon (SOC) accurately is essential for sustainable soil resource management. Hyperspectral data, a vital tool for SOC mapping, is obtained through both laboratory and satellite-based sources. While laboratory data is limited to sam...
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Bao She, Jiating Hu, Linsheng Huang, Mengqi Zhu and Qishuo Yin
To grasp the spatial distribution of soybean planting areas in time is the prerequisite for the work of growth monitoring, crop damage assessment and yield estimation. The research on remote sensing identification of soybean conducted in China mainly foc...
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Zhenhui Sun, Peihang Li, Dongchuan Wang, Qingyan Meng, Yunxiao Sun and Weifeng Zhai
The identification of urban functional zones (UFZs) is crucial for urban planning and optimizing industrial layout. Fusing remote sensing images and social perception data is an effective way to identify UFZs. Previous studies on UFZs recognition often i...
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Yanzhuo Men, Yingying Liu, Yufei Ma, Ka Po Wong, Jin Yeu Tsou and Yuanzhi Zhang
Satellites with low-to-medium spatial resolution face challenges in monitoring the early and receding stages of green tides, while those with high spatial resolution tend to reduce the monitoring frequency of such phenomena. This study aimed to observe t...
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Qianqian Cao, Guoqing Li, Xiaochuang Yao and Yue Ma
In the face of tight natural resources and complex as well as volatile environments, and in order to meet the pressure brought by population growth, we need to overcome a series of challenges. As a new data management paradigm, the Earth Observation Data...
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Jian Guo, Shuchen Wang and Qizhi Xu
The complexity of changeable marine backgrounds makes ship detection from satellite remote sensing images a challenging task. The ubiquitous interference of cloud and fog led to missed detection and false-alarms when using imagery-based optical satellite...
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Chengzhe Lv, Yuefeng Lu, Miao Lu, Xinyi Feng, Huadan Fan, Changqing Xu and Lei Xu
In object-oriented remote sensing image classification experiments, the dimension of the feature space is often high, leading to the ?dimension disaster?. If a reasonable feature selection method is adopted, the classification efficiency and accuracy of ...
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Hafiz Suliman Munawar, Fahim Ullah, Amirhossein Heravi, Muhammad Jamaluddin Thaheem and Ahsen Maqsoom
Manual inspection of infrastructure damages such as building cracks is difficult due to the objectivity and reliability of assessment and high demands of time and costs. This can be automated using unmanned aerial vehicles (UAVs) for aerial imagery of da...
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Quan Xiong, Xiaodong Zhang, Wei Liu, Sijing Ye, Zhenbo Du, Diyou Liu, Dehai Zhu, Zhe Liu and Xiaochuang Yao
Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works. Efficiently storing, organiz...
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Mingmei Zhang, Yongan Xue, Yonghui Ge and Jinling Zhao
To accurately identify slope hazards based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm is proposed. The color difference of the Luv color space was used as the regional similarity measure for region merging. Fu...
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