Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zuliang Zhao"'
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2056 (2022)
The rapid transformation from UTM (Universal Transverse Mecator) projection to Lambert projection helps to realize timely merging, inversion, and analysis of high-frequency partitioned remote sensing images. In this study, the transformation error an
Externí odkaz:
https://doaj.org/article/91d26ae6425f46da91bf4029c7212099
Autor:
Sijing Ye, Diyou Liu, Xiaochuang Yao, Huaizhi Tang, Quan Xiong, Wen Zhuo, Zhenbo Du, Jianxi Huang, Wei Su, Shi Shen, Zuliang Zhao, Shaolong Cui, Lixin Ning, Dehai Zhu, Changxiu Cheng, Changqing Song
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1376 (2018)
In recent years, remote sensing (RS) research on crop growth status monitoring has gradually turned from static spectrum information retrieval in large-scale to meso-scale or micro-scale, timely multi-source data cooperative analysis; this change has
Externí odkaz:
https://doaj.org/article/fca26cfa576e4ea6aaab7efe18d14493
Autor:
Xiaochuang Yao, Mohamed F. Mokbel, Sijing Ye, Guoqing Li, Louai Alarabi, Ahmed Eldawy, Zuliang Zhao, Long Zhao, Dehai Zhu
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 7, p 271 (2018)
Arable land quality (ALQ) data are a foundational resource for national food security. With the rapid development of spatial information technologies, the annual acquisition and update of ALQ data covering the country have become more accurate and fa
Externí odkaz:
https://doaj.org/article/89b288a719ce4492bc6698d4fa93a880
Autor:
Xuebo Li, Dianbin Zhang, Hao Meng, Zuliang Zhao, Xiangzhong Zhao, Feng Zhao, Mingxia Ding, Shipeng Zhao
Publikováno v:
Legal medicine (Tokyo, Japan). 54
Carnitine-acylcarnitine translocase deficiency (CACTD) is a rare and life-threatening autosomal recessive disorder of fatty acid β-oxidation (FAO). Most patients with CACTD develop severe metabolic decompensation which deteriorates progressively and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94e0bf2eaecb175c69b025ac709218d2
https://pubmed.ncbi.nlm.nih.gov/34784499
https://pubmed.ncbi.nlm.nih.gov/34784499
Publikováno v:
International Journal of Remote Sensing. 40:1996-2013
Playing a vital role in the national economy and food security of many countries, maize should be identified precisely to accurately determine planting area and yield times. Analysis of mul...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbd865a89155b2a5285eb2814023662b
https://doi.org/10.1080/01431161.2018.1504345
https://doi.org/10.1080/01431161.2018.1504345
Publikováno v:
Sustainability, Vol 11, Iss 23, p 6601 (2019)
Sustainability
Volume 11
Issue 23
Sustainability
Volume 11
Issue 23
Currently, high-temperature risk assessments of crops at the regional scale are usually conducted by comparing the observed air temperature at ground stations or via the remote sensing inversion of canopy temperature (such as MODIS (moderate-resoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327025e2338143d492a24107a218b000
https://www.mdpi.com/2071-1050/11/23/6601
https://www.mdpi.com/2071-1050/11/23/6601
Autor:
Ahmed Eldawy, Zuliang Zhao, Guoqing Li, Xiaochuang Yao, Sijing Ye, Louai Alarabi, Mohamed F. Mokbel, Long Zhao, Dehai Zhu
Publikováno v:
ISPRS International Journal of Geo-Information
Volume 7
Issue 7
ISPRS International Journal of Geo-Information, vol 7, iss 7
ISPRS International Journal of Geo-Information, Vol 7, Iss 7, p 271 (2018)
Volume 7
Issue 7
ISPRS International Journal of Geo-Information, vol 7, iss 7
ISPRS International Journal of Geo-Information, Vol 7, Iss 7, p 271 (2018)
Arable land quality (ALQ) data are a foundational resource for national food security. With the rapid development of spatial information technologies, the annual acquisition and update of ALQ data covering the country have become more accurate and fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d058cd3dcacdae56e6225bf1937547a5
Autor:
Sijing Ye, Xiaochuang Yao, Shaoming Li, Sijia Wang, Dehai Zhu, Xuli Zan, Xiaodong Zhang, Zuliang Zhao, Liu Zhe
Publikováno v:
Sustainability, Vol 10, Iss 5, p 1424 (2018)
Sustainability; Volume 10; Issue 5; Pages: 1424
Sustainability; Volume 10; Issue 5; Pages: 1424
Variety regional tests based on multiple environments play a critical role in understanding the high yield and adaptability of new crop varieties. However, the current approach mainly depends on experience from breeding experts and is difficulty to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dbb47cef116d728ec91696226bc6fe3
http://www.mdpi.com/2071-1050/10/5/1424
http://www.mdpi.com/2071-1050/10/5/1424
Publikováno v:
Agro-Geoinformatics
In the era of spatial big data, geographic information system (GIS) faces many opportunities and challenges. The first challenge for future GIS is how to store and manage the spatial big data efficiently. For example, in 2013, the volume of Chinese a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b9eef9c5be17e7dd39c1a937d4f2b66
https://doi.org/10.1109/agro-geoinformatics.2017.8046998
https://doi.org/10.1109/agro-geoinformatics.2017.8046998
Publikováno v:
Agro-Geoinformatics
Classification methodology is widely used by plant breeders to group environments on the results of regional evaluation trials to assist selection among genotypes. To be effective, Multi-environment trial (MET) is a key point for breeders to test pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a55030bbbebd09cf38597200c3ecab16
https://doi.org/10.1109/agro-geoinformatics.2017.8047002
https://doi.org/10.1109/agro-geoinformatics.2017.8047002