Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Eugene Genong Yu"'
Autor:
Yonglan Qian, Zhengwei Yang, Liping Di, Md. Shahinoor Rahman, Zhenyu Tan, Lei Xue, Feng Gao, Eugene Genong Yu, Xiaoyang Zhang
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2439 (2019)
Remotely sensed data have been used in crop condition monitoring for decades. Traditionally, crop growth conditions were assessed by comparing Normalized Difference Vegetation Index (NDVI) of the current year and past years at a pixel scale on the sa
Externí odkaz:
https://doaj.org/article/226a043b1515424582395428dd95ec57
Autor:
Md. Shahinoor Rahman, Yonglan Qian, Lei Xue, Zhengwei Yang, Zhenyu Tan, Feng Gao, Liping Di, Xiaoyang Zhang, Eugene Genong Yu
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2439 (2019)
Remote Sensing; Volume 11; Issue 20; Pages: 2439
Remote Sensing; Volume 11; Issue 20; Pages: 2439
Remotely sensed data have been used in crop condition monitoring for decades. Traditionally, crop growth conditions were assessed by comparing Normalized Difference Vegetation Index (NDVI) of the current year and past years at a pixel scale on the sa
Autor:
Liping Di, Li Lin, Chen Zhang, Haoteng Zhao, Md. Shahinoor Rahman, Junmei Tang, Eugene Genong Yu
Publikováno v:
Agro-Geoinformatics
Decisions on efficient irrigation in agriculture depend on sufficient information from different sources. The source of information may come in different form and different scale. Properly delivering them to farmers in field is required to make the d
Autor:
Zhiqi Yu, Chen Zhang, Liping Di, Md. Shahinoor Rahman, Eugene Genong Yu, Junmei Tang, Li Lin, Haoteng Zhao, Ruixing Yang, Ziheng Sun, Juozas Gaigalas
Publikováno v:
Agro-Geoinformatics
Land use and land cover (LULC) classification using satellite images is an important approach to monitor changes on earth. To produce LULC maps, supervised classification methods are often used. For many supervised classification algorithms, independ
Autor:
Juozas Gaigalas, Md. Shahinoor Rahman, Ziheng Sun, Chen Zhang, Junmei Tang, Li Lin, Eugene Genong Yu, Zhiqi Yu, Liping Di
Publikováno v:
Agro-Geoinformatics
Land use and land cover maps are essential to study how the earth surface change over time and how human activities interact with environments. The growing amount of available remote sensing images, especially the well archived Landsat images with 30
Autor:
Md. Shahinoor Rahman, Liping Di, Zhengwei Yang, Lingjun Kang, Junmei Tang, Lei Hu, Ziheng Sun, Chen Zhang, Ranjay Shrestha, Guangyuan Yang, Li Lin, Eugene Genong Yu
Publikováno v:
Agro-Geoinformatics
Climate change has become a hot topic in recent years. Flood is one of the most common natural hazards caused from extreme climate change. Scientists have spent a lot of money and time on monitoring flood in past decades. The development of Remote Se
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 6:47-48
Autor:
Ziheng Sun, Lingjun Kang, Meixia Deng, Liping Di, Eugene Genong Yu, Li Lin, Md. Shahinoor Rahman, Chen Zhang, Lei Hu, Ranjay Shrestha, Junmei Tang
Publikováno v:
2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics).
Flood is defined as water that temporarily submerges land. In the United States, flood is being considered as an event only if it last over 72 hours, but the time frame is much longer in the Europe. The information of water bodies is an important sou
Autor:
Liping Di, Zhengwei Yang, Ranjay Shrestha, Eugene Genong Yu, Bei Zhang, Lingjun Kang, Weiguo Han
Publikováno v:
IGARSS
Crop growth stages are important factors for segmenting the crop growing seasons and analyzing their growth conditions against normal conditions by periods. Time series of high temporal resolution, up to daily, satellite remotely sensed data are used