Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Bingbo Gao"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104085- (2024)
Automatic crop mapping is essential for various agricultural applications. Although fully convolutional networks (FCNs) have shown effectiveness in crop mapping, they rely on labor-intensive pixel-level annotations. Weakly supervised semantic segment
Externí odkaz:
https://doaj.org/article/61c23912ca014c708f4905cacd255d2d
Publikováno v:
Environmental Science and Ecotechnology, Vol 21, Iss , Pp 100394- (2024)
Crop residue burning (CRB) is a major contributor to air pollution in China. Current fire detection methods, however, are limited by either temporal resolution or accuracy, hindering the analysis of CRB's diurnal characteristics. Here we explore the
Externí odkaz:
https://doaj.org/article/bc653f23dc9542e0ba06060503310abc
Autor:
Junyan Lu, Bingbo Gao, Guoqing Li, Jianxi Huang, Lianchong Zhang, Jiayue Wang, Dehai Zhu, Xiaochuang Yao
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThe 20-year war in Afghanistan has had a catastrophic impact on agricultural planting and food security, but the assessment was difficult due to a lack of existing statistics. We used 30m Landsat data to extract the annual planting area and b
Externí odkaz:
https://doaj.org/article/3b5278e231d14823ac926e10d8a399af
Autor:
Wantao Yang, Liankai Zhang, Bingbo Gao, Xiaojie Liu, Xingwu Duan, Chenyi Wang, Ya Zhang, Qiang Li, Lingqing Wang
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 276, Iss , Pp 116248- (2024)
The accumulation of potentially toxic elements in soil poses significant risks to ecosystems and human well-being due to their inherent toxicity, widespread presence, and persistence. The Kangdian metallogenic province, famous for its iron-copper dep
Externí odkaz:
https://doaj.org/article/ecd600b79c0740cfbc0f6132e36d354b
Autor:
Bingbo Gao, Jianyu Yang, Ziyue Chen, George Sugihara, Manchun Li, Alfred Stein, Mei-Po Kwan, Jinfeng Wang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Causal inference in complex systems has been largely promoted by the proposal of some advanced temporal causation models. However, temporal models have serious limitations when time series data are not available or present insignificant vari
Externí odkaz:
https://doaj.org/article/e35341387b774afd9a0ab821e2f7e183
Autor:
Bowen Niu, Quanlong Feng, Jianyu Yang, Boan Chen, Bingbo Gao, Jiantao Liu, Yi Li, Jianhua Gong
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
The urbanization worldwide leads to the rapid increase of solid waste, posing a threat to environment and people’s wellbeing. However, it is challenging to detect solid waste sites with high accuracy due to complex landscape, and very few studies c
Externí odkaz:
https://doaj.org/article/a745ecd16a3e4e1d8f82553636075b96
Autor:
Jialin Sun, Shuai Yan, Thomas Alexandridis, Xiaochuang Yao, Han Zhou, Bingbo Gao, Jianxi Huang, Jianyu Yang, Ying Li
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1505 (2024)
Crop mapping using satellite imagery is crucial for agriculture applications. However, a fundamental challenge that hinders crop mapping progress is the scarcity of samples. The latest foundation model, Segment Anything Model (SAM), provides an oppor
Externí odkaz:
https://doaj.org/article/234cbf5df07b4aa39d651e1a5df831f5
Publikováno v:
Land, Vol 13, Iss 4, p 470 (2024)
The scientific and reasonable division of geographical units of cultivated land reserve resource areas is an important foundation for comprehensive land consolidation (CLC). Saline–alkali land is an important cultivated land reserve resource, and i
Externí odkaz:
https://doaj.org/article/fd4a013868894625ae972e42dbc5ce41
Autor:
Bingbo Gao, Jianyu Yang, Ziyue Chen, George Sugihara, Manchun Li, Alfred Stein, Mei-Po Kwan, Jinfeng Wang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/b0765cbb945f4a1dbbf5ab9748f9f510
Autor:
Shuai Yan, Xiaochuang Yao, Dehai Zhu, Diyou Liu, Lin Zhang, Guojiang Yu, Bingbo Gao, Jianyu Yang, Wenju Yun
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 103, Iss , Pp 102485- (2021)
The spatial distribution of crops is an important agricultural parameter, which is used to derive important information about crop productivity and food security. However, crop mapping on a large scale is challenging due to the low spatio-temporal in
Externí odkaz:
https://doaj.org/article/3351891050f343d6a7946f0fe83cad96