Zobrazeno 1 - 10
of 303
pro vyhledávání: '"Lan Xun"'
Publikováno v:
Journal of Integrative Agriculture, Vol 20, Iss 2, Pp 424-437 (2021)
Accurate rice area extraction and yield simulations are important for understanding how national agricultural policies and environmental issues affect regional spatial changes in rice farming. In this study, an improved regional parametric syntheses
Externí odkaz:
https://doaj.org/article/ef8e2579875649cdae32be68c99bd4d2
Autor:
Dan Cao, Jiahua Zhang, Hao Yan, Lan Xun, Shanshan Yang, Yun Bai, Sha Zhang, Fengmei Yao, Wenbin Zhou
Publikováno v:
IEEE Access, Vol 8, Pp 11138-11151 (2020)
Evaluating the potential productivity of the terrestrial ecosystem is extremely important to ascertain the threshold of vegetation productivity, to maximize the utilization of regional climate resources, carbon sequestration and to mitigate climate w
Externí odkaz:
https://doaj.org/article/62b9d8bc3ea24fd1820036bee4a11e0f
Publikováno v:
IEEE Access, Vol 7, Pp 157513-157523 (2019)
The accurate and timely spatial distribution information of various crop types is vital for food security. In this study, the 2-band enhanced vegetation index (EVI2) data from Moderate Resolution Imaging Spectroradiometer (MODIS) were combined with s
Externí odkaz:
https://doaj.org/article/3545ce3ad77a4465b6122f561f15bb26
Autor:
Sha Zhang, Jiahua Zhang, Yun Bai, Lan Xun, Jingwen Wang, Da Zhang, Shanshan Yang, Jinguo Yuan
Publikováno v:
IEEE Access, Vol 7, Pp 144861-144873 (2019)
Remote sensing (RS) is a convenient technology to estimate the regional cultivation areas of crops. However, the accurate estimation of maize areas using RS over a broad region is a significant challenge due to the large phenology differences and ins
Externí odkaz:
https://doaj.org/article/737abcd9bf6749bd8b602ef2e81d0774
Autor:
Xue Wang, Jiahua Zhang, Lan Xun, Jingwen Wang, Zhenjiang Wu, Malak Henchiri, Shichao Zhang, Sha Zhang, Yun Bai, Shanshan Yang, Shuaishuai Li, Xiang Yu
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2341 (2022)
Accurate extraction of crop cultivated area and spatial distribution is essential for food security. Crop classification methods based on machine learning and deep learning and remotely sensed time-series data are widely utilized to detect crop plant
Externí odkaz:
https://doaj.org/article/d057841ae99541d6ae5d5b80d5fba8b9
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4067 (2021)
Grasslands are one of the most important terrestrial ecosystems on the planet and have significant economic and ecological value. Accurate and rapid discrimination of grassland communities is critical to the conservation and utilization of grassland
Externí odkaz:
https://doaj.org/article/010246d38e14445386df14f48a896901
Autor:
Zhenjiang Wu, Jiahua Zhang, Fan Deng, Sha Zhang, Da Zhang, Lan Xun, Tehseen Javed, Guizhen Liu, Dan Liu, Mengfei Ji
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 835 (2021)
Satellite-borne multispectral data are suitable for regional-scale grassland community classification owing to comprehensive coverage. However, the spectral similarity of different communities makes it challenging to distinguish them based on a singl
Externí odkaz:
https://doaj.org/article/b53b9c27522e4c39999839a4bb8f68f5
Publikováno v:
In Nuclear Engineering and Design November 2024 428
Publikováno v:
In Annals of Nuclear Energy February 2025 211
Publikováno v:
In Medicine Plus December 2024 1(4)