Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Gengxing Zhao"'
Publikováno v:
Ecological Indicators, Vol 148, Iss , Pp 110087- (2023)
As a global problem of soil degradation, salinization has become a major obstacle to the sustainable development of the ecological environment and agriculture in coastal plains. However, the traditional process of salinity survey is too cumbersome, e
Externí odkaz:
https://doaj.org/article/d0c84da7756a417e8dcf6c7936578ae4
Autor:
Haiping Ni, Yuxia Wu, Rui Zong, Shiai Ren, Deng Pan, Lei Yu, Jianwei Li, Zhuling Qu, Qiyao Wang, Gengxing Zhao, Jianzhong Zhao, Lumin Liu, Tao Li, Youming Zhang, Qiang Tu
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Soil salinization and acidification seriously damage soil health and restricts the sustainable development of planting. Excessive application of chemical fertilizer and other reasons will lead to soil acidification and salinization. This study focus
Externí odkaz:
https://doaj.org/article/a09f99ce89c74f57901c72330f15eae2
Publikováno v:
IEEE Access, Vol 8, Pp 159595-159608 (2020)
The accurate and rapid inversion of soil salinity in regions based on the fusion of multisource remote sensing is not only practical for the treatment and utilization of saline soil but also the main trend in the development of quantitative soil sali
Externí odkaz:
https://doaj.org/article/7422e53886a24b1a9981a975e8ae93f8
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 101, Iss , Pp 102360- (2021)
Due to the wide availability of remote sensing data from different sensors and platforms, soil salinity inversion based on the fusion of multisource remote sensing data is becoming a reality. However, existing fusion methods mainly use the average re
Externí odkaz:
https://doaj.org/article/3e9595ae0a9146ea9a814ca33eba5772
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2109 (2022)
To explore the fast, accurate, and efficient remote sensing identification method of cultivated land quality, this study took Shandong Province as the study area, and used measured data to carry out the soil quality evaluation based on conventional G
Externí odkaz:
https://doaj.org/article/f82c81c56dc94fe391b5cb69e21c4c4d
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0227594 (2020)
The ecological environment of the Yellow River Delta is fragile, and the soil degradation in the region is serious. Therefore it is important to discern the status of the soil degradation in a timely manner for soil conservation and utilization. The
Externí odkaz:
https://doaj.org/article/e3387bb7630f42d788a5bc0fc44ea8c5
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5095 (2021)
It is an objective demand for sustainable agricultural development to realize fast and accurate cultivated land quality assessment. In this paper, Tengzhou city (county-scale hilly area: scale A), Shanghe county (county-scale plain area: scale B), an
Externí odkaz:
https://doaj.org/article/cf37190aa02445f28b7086fcae9cf96d
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3100 (2021)
Soil salinization is a significant factor affecting corn growth in coastal areas. How to use multi-source remote sensing data to achieve the target of rapid, efficient and accurate soil salinity monitoring in a large area is worth further study. In t
Externí odkaz:
https://doaj.org/article/6a238aa28c5946558c547d1fed94d757
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226508 (2019)
The use of remote sensing to rapidly and accurately obtain information on the spatiotemporal distribution of large-scale wheat and maize acreage is of great significance for improving the level of food production management and ensuring food security
Externí odkaz:
https://doaj.org/article/2077240dbc4c4b93aee5bdfcf69c6bbd
Publikováno v:
Sensors, Vol 20, Iss 22, p 6521 (2020)
Soil salinization is an important factor affecting winter wheat growth in coastal areas. The rapid, accurate and efficient estimation of soil salt content is of great significance for agricultural production. The Kenli area in the Yellow River Delta
Externí odkaz:
https://doaj.org/article/72cd9d63f1fe48f79b5a14a17abe5b54