Article
Computer Science, Interdisciplinary Applications
Shibin Ma, Zhongfa Zhou, Yongrong Zhang, Yulun An, GuangBin Yang
Summary: This study evaluated the effectiveness of three different topographic correction methods for images obtained by Landsat-5 Thematic Mapper sensor. The results showed that the SE method was effective in reducing dependence on terrain when solar elevation was above 46 degrees, while the SCS + C method was effective when solar elevation was below 46 degrees. However, caution should be taken when conducting quantitative research on images obtained under low solar elevation conditions.
EARTH SCIENCE INFORMATICS
(2021)
Article
Environmental Sciences
Yichuan Ma, Tao He, Ainong Li, Sike Li
Summary: This study compared ten widely used topographic correction algorithms and found that Teillet regression-based models had the best performance in reducing and overcorrecting topographic effects, but correction bias may be introduced when surface reflectance in the uncorrected images do not follow a normal distribution.
Article
Environmental Sciences
Federico Santini, Angelo Palombo
Summary: This paper investigates the impact of topographic correction on remote sensing images and highlights the necessity of atmospheric correction in mountainous environments. By using data acquired under different illumination conditions with different sensors and conducting a statistical analysis, the importance of topographic correction is demonstrated.
Article
Geochemistry & Geophysics
Wei Zhao, Xinjuan Li, Wei Wang, Fengping Wen, Gaofei Yin
Summary: The study proposes a Downwelling Shortwave Radiation (DSR) based correction method that effectively considers topographic effects and corrects NDVI values for poorly illuminated surfaces. The DSRC method demonstrates advantages in retaining spectral patterns and normalizing surface reflectance, compared to other existing methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Yi Liao, Jialong Zhang, Rui Bao, Dongfan Xu, Dongyang Han
Summary: This study develops a dynamic estimation model of forest carbon storage considering topographic factors. By analyzing the carbon storage changes of Pinus densata, it is found that the dynamic model based on a 5-year interval change with the random forest model performs the best after adding the terrain niche index.
Article
Green & Sustainable Science & Technology
Shuang Liu, Rui Liu, Nengzhi Tan
Summary: This study proposes an innovative spatial framework integrating improved kNN, RS, and GIS to evaluate flood inundation risk for tourism sites. The framework provides baseline information for urban planners and policymakers to address challenges posed by climate extremes, offering a cost-effective approach for assessing risk in the tourism industry under climate change.
Article
Computer Science, Information Systems
Yanyan Gao, Ming Hao, Yunjia Wang, Libo Dang, Yuecheng Guo
Summary: This study proposes an improved active contour model for detecting underground coal fires, utilizing new features to achieve high-precision identification and eliminate false alarms. It provides technical support for reducing environmental pollution and promoting the rational use of coal.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Review
Geochemistry & Geophysics
Rui Chen, Gaofei Yin, Wei Zhao, Kai Yan, Shengbiao Wu, Dalei Hao, Guoxiang Liu
Summary: Rugged terrain poses challenges to optical remote sensing, and topographic correction (TC) is crucial for accurate land cover classification and parameter retrieval. This systematic review examines 426 publications from 1980 to 2022, revealing a growing interest in TC driven by the availability of high-resolution remote sensing data and DEMs. Most studies focus on low-elevation regions, with increasing attention to China. Satellite acquisitions for TC show a seasonal imbalance, concentrated in months with favorable solar illumination.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2023)
Article
Environmental Sciences
Chi Zhang, Huifang Li, Huanfeng Shen
Summary: A cirrus cloud correction method based on a scattering law was proposed to restore ground information in Landsat 8 OLI VNIR images by utilizing visible and cirrus bands. The method was evaluated on both simulated and acquired images, demonstrating its effectiveness in removing cirrus clouds and restoring ground information with high accuracy. Comparisons with existing methods showed superior results over various land and ocean scenes. Additionally, the method's applicability to other sensors with similar bands, such as the Sentinel-2 Multispectral Instrument, was confirmed.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Xiaolin Zhu, Si-Bo Duan, Zhao-Liang Li, Wei Zhao, Hua Wu, Pei Leng, Maofang Gao, Xiaoming Zhou
Summary: Accurate estimation of land surface temperature in mountainous areas is crucial for ecological monitoring and climate studies. The new algorithm proposed in this study can retrieve LST from Landsat 8 data with topographic effect correction. Factors such as sky-view factor, atmospheric water vapor content, surface emissivity, and surrounding terrain's LST all play a significant role in the magnitude of the topographic effect.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Shaojie Zhao, Ting Liu, Linna Chai, Peng Wang, Diyan Chen, Tao Zhang
Summary: The topographic effect is an essential factor affecting microwave radiation in mountainous regions. This study proposes a new terrain correction model in microwave pixel scale using regression, which improves the inversion accuracy of key surface parameters.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Haojing Chi, Kai Yan, Kai Yang, Shuyuan Du, Hanliang Li, Jianbo Qi, Wei Zhou
Summary: This letter discusses the importance of timely and accurate assessment of changes in mountain vegetation biomass and other parameters for mountain ecosystem conservation. The study evaluates different topographic correction models (TCMs) on hyperspectral images to provide insights for selecting the optimal TCMs.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Xiaoxue Ke, Chao Wang, Jinhuan Du, Yuting Yuan, Xiong Xu, Yongjiu Feng, Huan Xie, Shijie Liu, Xiaohua Tong
Summary: This study evaluates the impact of topography on the reflectance of the lunar south polar region using images obtained from the SELENE lunar orbiter. Three correction methods were applied and it was found that the b correction method is the most appropriate. The study highlights the significant contribution of topography on the reflectance of sunlit slopes and emphasizes the importance of considering compositional differences in specific regions.
Article
Environmental Sciences
Hongwei Zhang, Fang Huang, Xiuchao Hong, Ping Wang
Summary: This article proposes a method to correct input data of spatiotemporal fusion model by learning biases between different sensors through machine learning techniques. By correcting the model biases, detailed spatial information in the data can be enhanced, significantly improving the accuracy and robustness of fusion technology.
Article
Engineering, Electrical & Electronic
Timing Li, Yiqiang Zhao, Yao Li, Guoqing Zhou
Summary: LSC-CNN is an effective method for non-uniformity correction of infrared images, with advantages in detail preservation and edge protection, showing excellent performance in both qualitative and quantitative evaluation.
IEEE PHOTONICS JOURNAL
(2021)
Article
Remote Sensing
Guangbin Lei, Ainong Li, Jinhu Bian, Zhengjian Zhang
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2020)
Article
Geography, Physical
Jinhu Bian, Ainong Li, Guangbin Lei, Zhengjian Zhang, Xi Nan
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2020)
Article
Geography, Physical
Gaofei Yin, Ainong Li, Zhengjian Zhang, Guangbin Lei
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
(2020)
Article
Environmental Sciences
Guangbin Lei, Ainong Li, Jinhu Bian, He Yan, Lulu Zhang, Zhengjian Zhang, Xi Nan
Article
Environmental Sciences
Guangbin Lei, Ainong Li, Zhengjian Zhang, Jinhu Bian, Guyue Hu, Changbo Wang, Xi Nan, Jiyan Wang, Jianbo Tan, Xiaohan Liao
Article
Biodiversity Conservation
Yuan Jin, Ainong Li, Jinhu Bian, Xi Nan, Guangbin Lei, Kamran Muhammad
Summary: The study proposed a model using geographically weighted principal component analysis to quantify ecological vulnerability along the Bangladesh-China-India-Myanmar economic corridor, and suggested ecological management measures based on the results. It was found that ecological vulnerability is progressively increasing, especially in mountainous areas, with significant impacts on protected areas.
ECOLOGICAL INDICATORS
(2021)
Article
Computer Science, Information Systems
Muhammad Kamran, Jinhu Bian, Ainong Li, Guangbin Lei, Xi Nan, Yuan Jin
Summary: This study used multi-source geo-information and the BWM method to quantify eco-environmental vulnerability in the Punjab province of the China-Pakistan economic corridor. The results showed relatively good overall environmental health in the province, but highlighted the presence of vulnerable areas near CPEC projects. Decision-makers should be aware of and protect these regions, aligning management policies with recommendations for ecological protection, resource utilization, and sustainable development.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Computer Science, Information Systems
Jinhu Bian, Ainong Li, Xi Nan, Guangbin Lei, Zhengjian Zhang
Summary: This study developed MGCI datasets with 500-meter spatial resolutions covering the economic corridors of the Belt and Road Initiative, achieving an overall accuracy of 94.06% in green vegetation cover validation. The datasets provide detailed information on green vegetation cover and describe the production flow process.
Article
Remote Sensing
Amin Naboureh, Ainong Li, Hamid Ebrahimy, Jinhu Bian, Mohsen Azadbakht, Meisam Amani, Guangbin Lei, Xi Nan
Summary: This study developed an automatic workflow using satellite data and a cloud computing platform to investigate the impact of irrigated agricultural expansion on the shrinkage of Lake Urmia and the water resources. Findings showed expansion of irrigated lands and partial recovery of the water bodies in Lake Urmia after 2015.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Wenqi Zhang, Huaan Jin, Ainong Li, Huaiyong Shao, Xinyao Xie, Guangbin Lei, Xi Nan, Guyue Hu, Wenjie Fan
Summary: This study assessed the spatiotemporal disparities in detections of surface vegetation activity in mountainous areas using different biophysical products. The results highlight significant differences in phenology and long-term dynamics among the products. Future global change studies may require multiple high-quality satellite products with long-term stability as data support.
Article
Biodiversity Conservation
Jianbo Tan, Mingqiang Chen, Cheng Ao, Guang Zhao, Guangbin Lei, Yi Tang, Bo Wang, Ainong Li
Summary: Water-land ecotone plays a crucial role in wetland ecological function. Vegetation information in this area is important for wetland health assessment and conservation. Seasonal flooding affects plant distribution and can provide potential information for satellite-based vegetation classification. This study focuses on mapping vegetation in the Dongting Lake using flooding index derived from Sentinel-1 SAR images and optical characteristics from Sentinel-2 images. Results indicate that adding flooding index significantly improves the accuracy of vegetation mapping, especially during the wet season.
ECOLOGICAL INDICATORS
(2022)
Article
Engineering, Electrical & Electronic
Amin Naboureh, Ainong Li, Jinhu Bian, Guangbin Lei
Summary: The advancement of high-performance cloud computing platforms and freely available satellite data offers a great opportunity for large-scale land cover mapping. The study presents a semiautomatic high-quality reference sample generation method by utilizing publicly available scientific land cover products and linear spectral unmixing analysis. A random forest classification scheme based on climate zone classification system was developed to overcome the challenge of spectral variation within different climate zones. The proposed framework demonstrates satisfactory results with high accuracy for land cover classification.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Computer Science, Information Systems
Yuan Jin, Ainong Li, Jinhu Bian, Xi Nan, Guangbin Lei
Summary: This study finds that investment and national planning policies have significant impacts on future land use changes in Myanmar. By integrating an economic theory-based model and a cellular automata-based model, the study takes into account both macroscopic and local impacts on land use simulation. The results highlight the importance of investment and planning policies in shaping the future land use patterns in Myanmar.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Geochemistry & Geophysics
Jianbo Tan, Mingqiang Chen, Xingyao Xie, Chao Zhang, Beiping Mao, Guangbin Lei, Bo Wang, Xiabing Meng, Xiaobin Guan, Yunfei Zhang
Summary: Topography data are crucial for land management, hydrology, and earth science, but current global digital elevation models do not meet the requirements for riparian zones. This study proposes a novel waterline method to acquire the digital elevation model of riparian zones, which is tested and verified in the Three Gorges Reservoir and Dongting Lake in China.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Review
Computer Science, Information Systems
Amin Naboureh, Jinhu Bian, Guangbin Lei, Ainong Li
Summary: The study identified rapid urbanization, industrialization, population growth, and climate change as major causes of LULCC in the China-Central Asia-West Asia Economic Corridor. LULCC leads to environmental issues, and the lack of national land use data and reliable datasets for studying long-term LULCC were also highlighted as challenges in the region.