Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Taifeng Dong"'
Autor:
Chao Zhang, Zi’ang Xie, Jiali Shang, Jiangui Liu, Taifeng Dong, Min Tang, Shaoyuan Feng, Huanjie Cai
Publikováno v:
Crop Journal, Vol 10, Iss 5, Pp 1353-1362 (2022)
Accurate information about phenological stages is essential for canola field management practices such as irrigation, fertilization, and harvesting. Previous studies in canola phenology monitoring focused mainly on the flowering stage, using its appa
Externí odkaz:
https://doaj.org/article/8bdc490cb5b148468a5b397701f11876
Autor:
Jiangui Liu, Ted Huffman, Budong Qian, Jiali Shang, Qingmou Li, Taifeng Dong, Andrew Davidson, Qi Jing
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2685-2697 (2020)
We evaluated the utility of Terra/MODIS-derived crop metrics for yield estimation across the Canadian Prairies. This study was undertaken at the Census Agriculture Region (CAR) and the Rural Municipality (RM) of the province of Saskatchewan, in three
Externí odkaz:
https://doaj.org/article/22d68bb483c241deba50bd0c0c4fa831
Autor:
Xin Du, Qiangzi Li, Jiali Shang, Jiangui Liu, Budong Qian, Qi Jing, Taifeng Dong, Dongdong Fan, Hongyan Wang, Longcai Zhao, Sam Lieff, Travis Davies
Publikováno v:
GIScience & Remote Sensing, Vol 56, Iss 7, Pp 1093-1113 (2019)
Yellow rust (Puccinia striiformis f. sp. Tritici) and aphid (Sitobion avenae F.) are two major biotic factors threatening winter wheat growth in the main growing region in northern China. The goal of this study was to develop a remote sensing based a
Externí odkaz:
https://doaj.org/article/fb44016dd8dd41878280927f75e0eea9
Autor:
Mohsen Nabil, Miao Zhang, José Bofana, Bingfang Wu, Alfred Stein, Taifeng Dong, Hongwei Zeng, Jiali Shang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 85, Iss , Pp 102010- (2020)
Many African countries are facing increasing risks of food insecurity due to rising populations. Accurate and timely information on the spatial distribution of cropland is critical for the effective management of crop production and yield forecast. M
Externí odkaz:
https://doaj.org/article/4f54adb4a5804ef287e9fa9431c9b245
Autor:
Huanxue Zhang, Qiangzi Li, Jiangui Liu, Jiali Shang, Xin Du, Longcai Zhao, Na Wang, Taifeng Dong
Publikováno v:
GIScience & Remote Sensing, Vol 54, Iss 3, Pp 381-406 (2017)
In North Korea, reliable and timely information on crop acreage and spatial distribution is hard to obtain. In this study, we developed a fast and robust method to estimate crop acreage in North Korea using time-series normalized difference vegetatio
Externí odkaz:
https://doaj.org/article/2eae34ba6f7e479a8a7a409cbffaf0cd
Autor:
Lihong Yu, Jiali Shang, Zhiqiang Cheng, Zebin Gao, Zixin Wang, Luo Tian, Dantong Wang, Tao Che, Rui Jin, Jiangui Liu, Taifeng Dong, Yonghua Qu
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3304 (2020)
Accurate and continuous monitoring of leaf area index (LAI), a widely-used vegetation structural parameter, is crucial to characterize crop growth conditions and forecast crop yield. Meanwhile, advancements in collecting field LAI measurements have p
Externí odkaz:
https://doaj.org/article/d118f816fc72429886da7b3687834629
Autor:
Zhiqiang Cheng, Jihua Meng, Jiali Shang, Jiangui Liu, Jianxi Huang, Yanyou Qiao, Budong Qian, Qi Jing, Taifeng Dong, Lihong Yu
Publikováno v:
Sensors, Vol 20, Iss 21, p 6006 (2020)
Green leaf area index (LAI) is an important variable related to crop growth. Accurate and timely information on LAI is essential for developing suitable field management strategies to mitigate risk and boost yield. Several remote sensing (RS) based m
Externí odkaz:
https://doaj.org/article/2233ffb2d0e24291bbd0b3067fb1b039
Autor:
Jiali Shang, Jiangui Liu, Valentin Poncos, Xiaoyuan Geng, Budong Qian, Qihao Chen, Taifeng Dong, Dan Macdonald, Tim Martin, John Kovacs, Dan Walters
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1551 (2020)
Synthetic aperture radar (SAR) is more sensitive to the dielectric properties and structure of the targets and less affected by weather conditions than optical sensors, making it more capable of detecting changes induced by management practices in ag
Externí odkaz:
https://doaj.org/article/865750e3b76b4cbdbfca96f32e89cd9a
Autor:
Taifeng Dong, Jiali Shang, Jing M. Chen, Jiangui Liu, Budong Qian, Baoluo Ma, Malcolm J. Morrison, Chao Zhang, Yupeng Liu, Yichao Shi, Hui Pan, Guisheng Zhou
Publikováno v:
Remote Sensing, Vol 11, Iss 22, p 2706 (2019)
Accurate measurement of leaf chlorophyll concentration (LChl) in the field using a portable chlorophyll meter (PCM) is crucial to support methodology development for mapping the spatiotemporal variability of crop nitrogen status using remote sensing.
Externí odkaz:
https://doaj.org/article/3b588c7ce06d4d5caf24ad47a6442d52
Autor:
Jiangui Liu, Jiali Shang, Budong Qian, Ted Huffman, Yinsuo Zhang, Taifeng Dong, Qi Jing, Tim Martin
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2419 (2019)
This study investigated the estimation of grain yields of three major annual crops in Ontario (corn, soybean, and winter wheat) using MODIS reflectance data extracted with a general cropland mask and crop-specific masks. Time-series two-band enhanced
Externí odkaz:
https://doaj.org/article/a7198f0ae1fc4d839a831907419c9405