Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Fuyou Tian"'
Autor:
Fuyou Tian, Bingfang Wu, Hongwei Zeng, Miao Zhang, Yueran Hu, Yan Xie, Congcong Wen, Zhengdong Wang, Xingli Qin, Wei Han, Honghai Yang
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Forty percent of global food production relies upon irrigation, which accounts for 70% of total global freshwater use. Thus, the mapping of cropland irrigation plays a significant role in agricultural water management and estimating food production.
Externí odkaz:
https://doaj.org/article/1c36fdee16c2456f86e073bd1f6768ff
Publikováno v:
Geography and Sustainability, Vol 3, Iss 1, Pp 7-20 (2022)
Eradicating extreme poverty is one of the UN's primary sustainable development goals (SDG). Arable land is related to eradicating poverty (SDG1) and hunger (SDG2). However, the linkage between arable land use and poverty reduction is ambiguous and ha
Externí odkaz:
https://doaj.org/article/10a0c84361a84ee4b559228a5bb41850
Publikováno v:
暴雨灾害, Vol 40, Iss 1, Pp 27-36 (2021)
The short-duration heavy rainfall observations, the synoptic patterns, the terrain effects, and the environmental conditions for short-duration heavy rainfall occurred during the two extreme torrential rainfall events of 21 July 2012 (shortly for "7.
Externí odkaz:
https://doaj.org/article/1777c317194d4b0b9ab536633b2d94db
Publikováno v:
Geography and Sustainability, Vol 1, Iss 1, Pp 25-32 (2020)
To achieve the Sustainable Development Goals (SDGs), high-quality data are needed to inform the formulation of policies and investment decisions, to monitor progress towards the SDGs and to evaluate the impacts of policies. However, the data landscap
Externí odkaz:
https://doaj.org/article/0586aa752b674d6d924280516ca67148
Publikováno v:
Atmosphere, Vol 13, Iss 7, p 1074 (2022)
Highly convection-related short-duration heavy rainfall (SDHR), defined as rainfall greater than 20 mm h−1 of a whole hour, causes severe damage every year in China. An objective forecasting method is developed to provide guidance products for the
Externí odkaz:
https://doaj.org/article/dbc91a97df404704a18af13ed1397e6a
Autor:
Battsetseg Tuvdendorj, Hongwei Zeng, Bingfang Wu, Abdelrazek Elnashar, Miao Zhang, Fuyou Tian, Mohsen Nabil, Lkhagvadorj Nanzad, Amanjol Bulkhbai, Natsagsuren Natsagdorj
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1830 (2022)
Accurate and early crop-type maps are essential for agricultural policy development and food production assessment at regional and national levels. This study aims to produce a crop-type map with acceptable accuracy and spatial resolution in northern
Externí odkaz:
https://doaj.org/article/c9c92b24ebe74d309199d4e010559f90
Autor:
Yueran Hu, Hongwei Zeng, Fuyou Tian, Miao Zhang, Bingfang Wu, Sven Gilliams, Sen Li, Yuanchao Li, Yuming Lu, Honghai Yang
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1208 (2022)
Crop type classification is critical for crop production estimation and optimal water allocation. Crop type data are challenging to generate if crop reference data are lacking, especially for target years with reference data missed in collection. Is
Externí odkaz:
https://doaj.org/article/d0a9b6634bc94ebc9b8f1f948f29aa22
Publikováno v:
Sensors, Vol 21, Iss 4, p 1165 (2021)
In situ ground truth data are an important requirement for producing accurate cropland type map, and this is precisely what is lacking at vast scales. Although volunteered geographic information (VGI) has been proven as a possible solution for in sit
Externí odkaz:
https://doaj.org/article/bb75d3ef2e6a4682be27a656401e3142
Autor:
Abdelrazek Elnashar, Hongwei Zeng, Bingfang Wu, Ning Zhang, Fuyou Tian, Miao Zhang, Weiwei Zhu, Nana Yan, Zeqiang Chen, Zhiyu Sun, Xinghua Wu, Yuan Li
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3860 (2020)
Accurate precipitation data at high spatiotemporal resolution are critical for land and water management at the basin scale. We proposed a downscaling framework for Tropical Rainfall Measuring Mission (TRMM) precipitation products through integrating
Externí odkaz:
https://doaj.org/article/6c760db278b841dfac413c169f3fa216
Autor:
José Bofana, Miao Zhang, Mohsen Nabil, Bingfang Wu, Fuyou Tian, Wenjun Liu, Hongwei Zeng, Ning Zhang, Shingirai S. Nangombe, Sueco A. Cipriano, Elijah Phiri, Terence Darlington Mushore, Peter Kaluba, Emmanuel Mashonjowa, Chrispin Moyo
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2096 (2020)
Having updated knowledge of cropland extent is essential for crop monitoring and food security early warning. Previous research has proposed different methods and adopted various datasets for mapping cropland areas at regional to global scales. Howev
Externí odkaz:
https://doaj.org/article/723c2f2493564781bc4b1e1b52bd8d25