Remote sensing hydrological indication: Responses of hydrological processes to vegetation cover change in mid-latitude mountainous regions

Yang, Shengtian; Zhou, Baichi; Lou, Hezhen; Wu, Zhiyong; Wang, Shusheng; Zhang, Yujia; Pan, Zihao; Li, Chao‐Jun

doi:10.1016/j.scitotenv.2022.158170

Cited by 7 publications

(2 citation statements)

References 66 publications

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“…RSHS technology combines the advantages of unmanned aerial vehicle (UAV) low-altitude and satellite remote sensing, and it can accurately estimate the long-term runoff series of rivers with different width scales. Currently, RSHS technology has been applied to the Aibi Lake Basin, Qinghai-Tibetan Plateau, Changbai Mountain, and desert rivers (Lou et al, 2020;Wang et al, 2020;Wufu et al, 2021;Yang et al, 2020Yang et al, , 2022Yang, Wang, et al, 2021). The accuracy of the digital river model obtained by UAV can attain the centimetre level (Zhang et al, 2018), and the verification results show that RSHS technology is suitable for runoff monitoring in medium and small ungauged basins (Lou et al, 2022;Yang et al, 2020;Yang, Wang, et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Perspectives of human–water co‐evolution of blue–green water resources in subtropical areas

Pan

Yang

Lou

et al. 2023

Hydrological Processes

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Blue–green water resources and their transformation play a vital role in crop production and ecosystem services regulation, and their distribution and utilization are affected by human activity, such as policy‐driven green water resources development projects. However, it is unclear how policy‐driven green water resources development projects, such as the Grain for Green Project (GGP) in China, affect eco‐environmental quality and socio‐economic development, that is, human–water co‐evolution. Therefore, considering the GGP in a subtropical ungauged basin in southern China as an example, based on remote sensing hydrological station (RSHS) technology and multisource remote sensing data, this study analyzed the impact of the GGP on human–water co‐evolution from the perspective of blue–green water resources. The results show that: (1) From 2001 to 2020 the GGP transformed more blue water resources into green water resources, resulting in an increase in green water resources of 282.29% compared to that of blue water resources. (2) Due to the initial success of the GGP in 2005, there was a distinct positive correlation between the green water coefficient (GWC) and basin development index (BDI) from 2005 to 2020 (R2 = 0.70, p < 0.05), indicating that the GGP did not cause conflict between the sustainability of socio‐economic development and the health of the ecological environment. (3) In the GGP scenario, in which the cultivated land area maintained 50% of the current decreasing rate, the overall efficiency index maintain a continuously increasing trend at an average rate of 0.001 year−1 from 2021 to 2050, which not only improved the eco‐environmental quality but also met cultivated land demand. This research reveals the role of GGP in promoting the transformation from blue to green water resources, and proves the feasibility of the simultaneous promotion of GGP and socio‐economic development, providing significant insights for the promotion of policy‐driven green water resources development projects and long‐term blue–green water resources planning and management in other countries or regions.

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Section: Introductionmentioning

confidence: 99%

Perspectives of human–water co‐evolution of blue–green water resources in subtropical areas

Pan

Yang

Lou

et al. 2023

Hydrological Processes

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“…OUNTAINS cover about 24% of the Earth's land area and are essential in regulating the regional and global climate environment [1][2][3]. However, the topography is one of the critical factors affecting the microwave radiation of pixel-scale in mountainous regions.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Model for Correction of Topographic Effect in Microwave Radiation of Mountainous Area

Zhao,

Liu,

Chai

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The topographic effect is one of the essential factors affecting microwave radiation in mountainous regions. This effect's correction can improve the inversion accuracy of key surface parameters. Here, a new terrain correction model in microwave pixel scale is proposed by regression. Using the rugosity (RU) measure the relief of land surface, and analyze its correlation with the brightness temperature difference between the undulating surface and flat surface (∆𝑻𝑩 𝝋 𝑹𝒊 ). The topographic effects are simulated by the mountain microwave radiation model. Through the regression analysis of the topographic effects with RU in different regions, we find that: first, RU has a linear relationship with the average ∆𝑻𝑩 𝝋 𝑹𝒊 for different azimuths of the pixel (∆𝑻𝑩 ̅̅̅̅̅̅ ), with the value of R 2 above 0.9 for both polarization; then, the effects of azimuths and ground characteristics on brightness temperature can also be corrected by establishing their regression relationship with brightness temperature. Combined with these analyses, an empirical model is developed to measure the topographic effect according to RU. The verification results show that the ∆𝑻𝑩 𝒎𝒐𝒅𝒆𝒍 calculated by the empirical model is similar to the ∆𝑻𝑩 𝒔𝒊𝒎𝒖𝒍𝒂𝒕𝒆𝒅 of microwave radiation model (r>0.9), which indicates that the empirical model is suitable for mountainous areas with different terrains. Results also provide a theoretical basis for improving the accuracy of passive microwave remote sensing of mountainous areas.

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Identification of ecologically sensitive zones affected by climate change and anthropogenic activities in Southwest China through a NDVI-based spatial-temporal model

Xu,

Dai,

et al. 2024

Ecological Indicators

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Remote sensing hydrological indication: Responses of hydrological processes to vegetation cover change in mid-latitude mountainous regions

Cited by 7 publications

References 66 publications

Perspectives of human–water co‐evolution of blue–green water resources in subtropical areas

Perspectives of human–water co‐evolution of blue–green water resources in subtropical areas

An Empirical Model for Correction of Topographic Effect in Microwave Radiation of Mountainous Area

Identification of ecologically sensitive zones affected by climate change and anthropogenic activities in Southwest China through a NDVI-based spatial-temporal model

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