Hao Xia
Biographic Data
| ID | 3589079 |
|---|---|
| NAME | Hao Xia |
| GIVEN NAMES | Hao |
| FAMILY NAME | Xia |
| SIGNATURE | XIA H |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-5852-9519 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 12 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Exploring emotion bursts
Does ecological zoning spur household welfare and resilience? A quasi-natural experiment in China
Land Property Rights and Household Welfare
Spatial-temporal heterogeneity of ecosystem service interactions and their social-ecological drivers
Uncovering the complex interactions among ecosystem services (ESs) is a prerequisite for managing multiple ESs simultaneously. We mapped the supply of six ESs, quantified their trade-offs/synergies and bundles, determined dominant social-ecological drivers, and subsequently provided sustainable spatial planning and management strategies at both grid and sub-watershed scales. The results revealed that: (1) the patterns of ESs were spatially hetero…
Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years
Global warming caused by carbon emissions is an environmental issue of great concern to all sectors. Dynamic monitoring of the spatiotemporal evolution of urban carbon emissions is an important link to achieve the regional "double carbon" goal. Using 14 cities (prefectures) in Hunan Province as an example, based on the data of carbon emissions generated by land use and human production and life, and on the basis of estimating the carbon emissions…
Peanut shell biochar in acidic soil increases nitrogen absorption and photosynthesis characteristics of maize under different nitrogen levels
Vins-Dimc
Most visual–inertial navigation systems (VINSs) suffer from moving objects and achieve poor positioning accuracy in dynamic environments. Therefore, to improve the positioning accuracy of VINS in dynamic environments, a monocular visual–inertial navigation system, VINS-dimc, is proposed. This system integrates various constraints on the elimination of dynamic feature points, which helps to improve the positioning accuracy of VINSs in dynamic envi…
Visual Positioning in Indoor Environments Using RGB-D Images and Improved Vector of Local Aggregated Descriptors
Positioning information has become one of the most important information for processing and displaying on smart mobile devices. In this paper, we propose a visual positioning method using RGB-D image on smart mobile devices. Firstly, the pose of each image in the training set is calculated through feature extraction and description, image registration, and pose map optimization. Then, in the image retrieval stage, the training set and the query s…
Comparing Fully Deep Convolutional Neural Networks for Land Cover Classification with High-Spatial-Resolution Gaofen-2 Images
Land cover is an important variable of the terrestrial ecosystem that provides information for natural resources management, urban sprawl detection, and environment research. To classify land cover with high-spatial-resolution multispectral remote sensing imagery is a difficult problem due to heterogeneous spectral values of the same object on the ground. Fully convolutional networks (FCNs) are a state-of-the-art method that has been increasingly…
Assessing Chromium Contamination in Red Soil
The improper stacking of chromium (Cr) slag poses a great threat to the environment and human health. The toxicity of Cr in soil is not only related to its total amount, but also to its fractions. A simulated experiment was conducted in laboratory to assess the environmental risk of Cr fractions migration and distribution in red soil. The results showed the content of acid-soluble and reducible Cr significantly decreased ( P Lysobacter , Flavihum…
Peasant households’ land use decision-making analysis using social network analysis
Comparing Fully Deep Convolutional Neural Networks for Land Cover Classification with High-Spatial-Resolution Gaofen-2 Images
Land cover is an important variable of the terrestrial ecosystem that provides information for natural resources management, urban sprawl detection, and environment research. To classify land cover with high-spatial-resolution multispectral remote sensing imagery is a difficult problem due to heterogeneous spectral values of the same object on the ground. Fully convolutional networks (FCNs) are a state-of-the-art method that has been increasingly…
Assessing Chromium Contamination in Red Soil
The improper stacking of chromium (Cr) slag poses a great threat to the environment and human health. The toxicity of Cr in soil is not only related to its total amount, but also to its fractions. A simulated experiment was conducted in laboratory to assess the environmental risk of Cr fractions migration and distribution in red soil. The results showed the content of acid-soluble and reducible Cr significantly decreased ( P Lysobacter , Flavihum…
Peasant households’ land use decision-making analysis using social network analysis
Visual Positioning in Indoor Environments Using RGB-D Images and Improved Vector of Local Aggregated Descriptors
Positioning information has become one of the most important information for processing and displaying on smart mobile devices. In this paper, we propose a visual positioning method using RGB-D image on smart mobile devices. Firstly, the pose of each image in the training set is calculated through feature extraction and description, image registration, and pose map optimization. Then, in the image retrieval stage, the training set and the query s…
Vins-Dimc
Most visual–inertial navigation systems (VINSs) suffer from moving objects and achieve poor positioning accuracy in dynamic environments. Therefore, to improve the positioning accuracy of VINS in dynamic environments, a monocular visual–inertial navigation system, VINS-dimc, is proposed. This system integrates various constraints on the elimination of dynamic feature points, which helps to improve the positioning accuracy of VINSs in dynamic envi…
Spatial-temporal heterogeneity of ecosystem service interactions and their social-ecological drivers
Uncovering the complex interactions among ecosystem services (ESs) is a prerequisite for managing multiple ESs simultaneously. We mapped the supply of six ESs, quantified their trade-offs/synergies and bundles, determined dominant social-ecological drivers, and subsequently provided sustainable spatial planning and management strategies at both grid and sub-watershed scales. The results revealed that: (1) the patterns of ESs were spatially hetero…
Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years
Global warming caused by carbon emissions is an environmental issue of great concern to all sectors. Dynamic monitoring of the spatiotemporal evolution of urban carbon emissions is an important link to achieve the regional "double carbon" goal. Using 14 cities (prefectures) in Hunan Province as an example, based on the data of carbon emissions generated by land use and human production and life, and on the basis of estimating the carbon emissions…
Peanut shell biochar in acidic soil increases nitrogen absorption and photosynthesis characteristics of maize under different nitrogen levels
Exploring emotion bursts
Does ecological zoning spur household welfare and resilience? A quasi-natural experiment in China
Land Property Rights and Household Welfare
Computer Science (5 works) · Environmental Science (5 works) · Artificial Intelligence (3 works) · Biology (3 works) · China (3 works) · Geography (3 works) · Chemistry (2 works) · China's Socioeconomic Reforms and Governance (2 works) · Computer vision (2 works) · Conservation, Biodiversity, and Resource Management (2 works)