110   Artículos

 
en línea
Viktoriya Tsyganskaya, Sandro Martinis and Philip Marzahn    
Synthetic Aperture Radar (SAR) is particularly suitable for large-scale mapping of inundations, as this tool allows data acquisition regardless of illumination and weather conditions. Precise information about the flood extent is an essential foundation ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Zilu Zhao, Hui Long and Hongjian You    
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chi Xu, Chuanqi Liu, Wanchang Zhang, Zhenghao Li and Bangsheng An    
Complex terrain, the sparse distribution of rain gauges, and the poor resolution and quality of satellite data in remote areas severely restrict the development of watershed hydrological modeling, meteorology, and ecological research. In this study, base... ver más
Revista: Water    Formato: Electrónico

 
en línea
Qi Shi, Daheng Wang, Wen Chen, Jinpei Yu, Weiting Zhou, Jun Zou and Guangzu Liu    
Satellite image compression technology plays an important role in the development of space science. As optical sensors on satellites become more sophisticated, high-resolution and high-fidelity satellite images will occupy more storage. This raises the r... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Francisco R. da S. Pereira, Aliny A. Dos Reis, Rodrigo G. Freitas, Stanley R. de M. Oliveira, Lucas R. do Amaral, Gleyce K. D. A. Figueiredo, João F. G. Antunes, Rubens A. C. Lamparelli, Edemar Moro and Paulo S. G. Magalhães    
The recent advances in unmanned aerial vehicle (UAV)-based remote sensing systems have broadened the remote sensing applications for agriculture. Despite the great possibilities of using UAVs to monitor agricultural fields, specific problems related to m... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Wenzhao Li, Dongfeng Li and Zheng N. Fang    
Numerous algorithms have been developed to automate the process of delineating water surface maps for flood monitoring and mitigation purposes by using multiple sources such as satellite sensors and digital elevation model (DEM) data. To better understan... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Vu Hien Phan, Danh Phan Hong Pham, Tran Vu Pham, Kashif Naseer Qureshi and Cuong Pham-Quoc    
The smart environmental management system proposed in this work offers a new approach to environmental monitoring by utilizing data from IoT stations and MODIS satellite imagery. The system is designed to be deployed in vast regions, such as the Mekong D... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Siyi Li, Guowang Jin and Jiahao Li    
Flooding is one of the most frequently occurring meteorological disasters nowadays, and its occurrence can cause significant socio-economic losses. Aiming at the problem that traditional optical remote sensing makes it difficult to monitor floods, this p... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Puzhen Huo, Peng Lu, Bin Cheng, Limin Zhang, Qingkai Wang and Zhijun Li    
It is challenging to obtain the ice phenology for a lake covered with a vast area of aquatic (shallow lake wetlands) using optical satellite data because possible clouds above the lake could contaminate the result. We developed a new method to tackle thi... ver más
Revista: Water    Formato: Electrónico

 
en línea
Ju Zeng, Mou Leong Tan, Yi Lin Tew, Fei Zhang, Tao Wang, Narimah Samat, Fredolin Tangang and Zulkifli Yusop    
Continuous oil palm distribution maps are essential for effective agricultural planning and management. Due to the significant cloud cover issue in tropical regions, the identification of oil palm from other crops using only optical satellites is difficu... ver más
Revista: Agriculture    Formato: Electrónico

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