Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yongbin Bao"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103644- (2024)
Currently, hyperspectral remote sensing technology used for vegetation monitoring mainly uses empirical and semi-empirical statistical methods to calculate heavy metal content. Combining physical models and machine learning algorithms is an effective
Externí odkaz:
https://doaj.org/article/c4286d16a00e4de8a9e8de65e76188a7
Publikováno v:
Ecological Indicators, Vol 132, Iss , Pp 108255- (2021)
Watershed ecological security provides the basic guarantee of regional sustainable development; thus, reliable watershed ecological security evaluation is of great significance in revealing the watershed ecological security status and promoting the h
Externí odkaz:
https://doaj.org/article/611219b19ec84d1893b8d506a7a273c5
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4028 (2022)
In the context of climate change, the remote sensing identification of crops is extremely important for the rapid development of agricultural economy and the detailed assessment of the agro-meteorological disasters. The Jilin Province is the main gra
Externí odkaz:
https://doaj.org/article/1574a9c200f3436aaea643d3562c05cf
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1857 (2022)
Sulfur dioxide (SO2) is a major atmospheric pollutant and abiotic stressor. Although physiological studies on abiotic stressors have focused on fully expanded leaves, the resistance of leaf functional traits to SO2 during individual leaf development
Externí odkaz:
https://doaj.org/article/3119e8965ea94e09bbcd602ef4a0393c
Publikováno v:
Sensors, Vol 21, Iss 9, p 3220 (2021)
Proximal sensing offers a novel means for determination of the heavy metal concentration in soil, facilitating low cost and rapid analysis over large areas. In this respect, spectral data and model variables play an important role. Thus far, no attem
Externí odkaz:
https://doaj.org/article/17f4cd74e6a4449f958e414700cd444d
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1527 (2021)
Soil moisture is a reliable water resource for plant growth in arid and semi-arid regions. Characterizing the interaction between soil moisture and vegetation is important for assessing the sustainability of terrestrial ecosystems. This study explore
Externí odkaz:
https://doaj.org/article/2499ed840a6e46718457c5b95f64af0e
Publikováno v:
Water, Vol 12, Iss 10, p 2774 (2020)
Understanding the variations of future drought under climate warming can provide the basis for mitigation efforts. This study utilized the standardized precipitation evapotranspiration index (SPEI), empirical mode decomposition (EMD) and empirical or
Externí odkaz:
https://doaj.org/article/203281e721e6474280dbca2409d13dfc
Autor:
Alu Si, Jiquan Zhang, Yichen Zhang, Emmanuel Kazuva, Zhenhua Dong, Yongbin Bao, Guangzhi Rong
Publikováno v:
Water, Vol 12, Iss 7, p 2057 (2020)
Debris flow events often pose significant damage and are a threat to infrastructure and even livelihoods. Recent studies have mainly focused on determining the susceptibility of debris flow using deterministic or heuristic/probabilistic models. Howev
Externí odkaz:
https://doaj.org/article/4b056d1cbd3648029d36b5d1ccd649e0
Publikováno v:
Water, Vol 11, Iss 10, p 2108 (2019)
Based on the 1965−2017 climate data of 18 meteorological stations in the Songliao Plain maize belt, the Coupled Model Intercomparision Project (CMIP5) data, and the 1998−2017 maize yield data, the drought change characteristics in the study area
Externí odkaz:
https://doaj.org/article/e70446dcfdcb46728333c97d5fe4f631
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 10, p 394 (2018)
Landslide identification is an increasingly important research topic in remote sensing and the study of natural hazards. It is essential for hazard prevention, mitigation, and vulnerability assessments. Despite great efforts over the past few years,
Externí odkaz:
https://doaj.org/article/6ff28b765e1041bda4a9c5bc0225c18d