Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Kejian Shen"'
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4991 (2022)
In the past two decades, the Ministry of Agriculture and Rural Affairs of China (MARA) has issued a series of strict cultivated land protection policies to prevent the spread of farmland abandonment and maintain a dynamic balance between the quantity
Externí odkaz:
https://doaj.org/article/2fb6432351fc434282eec94fc724353e
Publikováno v:
Frontiers of Earth Science. 14:413-429
Qinghai Province is one of the four largest pastoral regions in China. Timely monitoring of grass growth and accurate estimation of grass yields are essential for its ecological protection and sustainable development. To estimate grass yields in Qing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73fec3636ee3ecbf2896d8cb2848e0c5
https://doi.org/10.1007/s11707-019-0780-x
https://doi.org/10.1007/s11707-019-0780-x
Publikováno v:
Zhongguo zhen jiu = Chinese acupuncturemoxibustion. 38(12)
To observe the clinical effects on polycystic ovary syndrome (PCOS) of abdominal obesity treated with the dialing needling technique at the abdomen.A total of 33 patients of PCOS of abdominal obesity were treated with the dialing needling method. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9ddebe0a007e2566da089ada6f82f8c9
https://pubmed.ncbi.nlm.nih.gov/30672214
https://pubmed.ncbi.nlm.nih.gov/30672214
Autor:
Guannan Sun, Xiaoqian Zhang, Wang Fei, Kejian Shen, Xiwei Chen, Weifang Li, Shangjie Ma, Pei Zhiyuan
Publikováno v:
Procedia Environmental Sciences. 26:95-100
Using remote sensing data to estimate crop area is efficient to a wide range of end-users, including government agencies, farmers and researchers. Moderate spatial resolution (MSR) image data are widely used to estimate crop area. But its accuracy ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6af46bbb24c5ee0696c99180944be9bc
https://doi.org/10.1016/j.proenv.2015.05.007
https://doi.org/10.1016/j.proenv.2015.05.007
Publikováno v:
SPIE Proceedings.
The objective of the study was to determine whether rice identification and acreage estimation accuracy at the early stage of the rice growth season using single fine quad Radarsat-2 images could meet the demand of rice monitoring. The Leizhou site (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb6e2959ba1f1a3c5a94d9d558d549b5
https://doi.org/10.1117/12.2240154
https://doi.org/10.1117/12.2240154
Publikováno v:
2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics).
The objective of this study was to estimate rice growth parameters (LAI, crop height) in a timely and precise manner with FQ Radarsat-2 images. The proposed approach is based on the water cloud model, five Radarsat-2 images and coincident ground meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e2b173aa064640892f02bb21bf1cde6
https://doi.org/10.1109/agro-geoinformatics.2016.7577630
https://doi.org/10.1109/agro-geoinformatics.2016.7577630
Publikováno v:
Computer and Computing Technologies in Agriculture IX ISBN: 9783319483535
CCTA (2)
CCTA (2)
Considering the spatial distribution and harvest times of Brazil soybean, using Landsat8 data, this paper chose 3 study area, determine the optimum classification images by visually comparison of multi-period images, extract soybean by ISODATA unsupe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed07da6294aac232e5834ea979a39698
https://doi.org/10.1007/978-3-319-48354-2_4
https://doi.org/10.1007/978-3-319-48354-2_4
Autor:
Quan Wu, Xiaoqian Zhang, Fei Wang, Yuechen Liu, Guannan Sun, Jiong You, Kejian Shen, Weifang Li, Zhiyuan Pei
Publikováno v:
Computer and Computing Technologies in Agriculture IX ISBN: 9783319483566
CCTA (1)
CCTA (1)
Comprehensive, reliable and timely information of Brazil’s soybean area is necessary for China to make decisions on agricultural related problems. Spatial sampling method which combined remote sensing and sampling survey is widely used. Due to limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40ed953b4abf7431217b5adb84e45c9c
https://doi.org/10.1007/978-3-319-48357-3_36
https://doi.org/10.1007/978-3-319-48357-3_36
Publikováno v:
Procedia Environmental Sciences. :82-90
Poverty is one of the worldwide and key issues concerned by governments and international organizations. Chinese rural poverty was massive poverty caused by universal factors such as underdeveloped national economy and lack of related institution and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54ef9dc4ae46ef455606b031ca1d7495
Publikováno v:
Procedia Environmental Sciences. :110-115
This paper proposed a spatial sampling method, this method had proved that using stratified random sampling, choosing area-scale index as auxiliary variable, using simulated MSR image and UAV image can improve the crop area estimation accuracy over l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d05ac485d467dcfd40480e11bd69dc9