Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yun Du"'
Autor:
Yihang Zhang, Lingfei Shi, Rui Chen, Pu Zhou, Lai Jiang, Yun Du, Feng Ling, Yalan Wang, Xiaodong Li
Publikováno v:
Remote Sensing, Vol 13, Iss 2409, p 2409 (2021)
Remote Sensing
Volume 13
Issue 12
Pages: 2409
Remote Sensing
Volume 13
Issue 12
Pages: 2409
The monitoring of impervious surfaces in urban areas using remote sensing with fine spatial and temporal resolutions is crucial for monitoring urban development and environmental changes in urban areas. Spatiotemporal super-resolution mapping (STSRM)
Autor:
Cheng Chen, Xiaodong Li, Lingfei Shi, Giles M. Foody, Yun Du, Yihang Zhang, Feng Ling, Shiming Fang
Publikováno v:
International Journal of Remote Sensing. 40:8484-8505
Lakes are important to the healthy functioning of the urban ecosystem. The urban lakes in Wuhan, China, which is known as ‘city of hundreds of lakes’, are facing substantial threats mainly due to r...
Publikováno v:
International Journal of Remote Sensing. 39:7846-7860
Remotely sensed imagery is the most efficient and widely used data source to monitor the water area changes. However, a trade-off always exists between temporal resolution and spatial resolution fo...
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:600-614
Forest mapping from satellite sensor imagery provides important information for the timely monitoring of forest growth and deforestation, bioenergy potential assessment, and modeling of carbon flux, among others. Due to the daily global revisit rate
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:7210-7222
Super-resolution mapping (SRM) is a method to produce a fine spatial resolution land cover map from coarse spatial resolution remotely sensed imagery. A popular approach for SRM is a two-step algorithm, which first increases the spatial resolution of
Publikováno v:
Physical Geography. 38:1-17
Dongting Lake is the second largest freshwater lake in China. The beach of the lake contributes significantly in controlling floods and supporting ecosystems in the middle reach of the Yangtze Rive...
Publikováno v:
International Journal of Remote Sensing. 37:5802-5825
Super-resolution land-cover mapping (SRM) is a technique for generating land-cover thematic maps with a finer spatial resolution than the input image. Linear mixture model-based SRM (LSRM) is applied directly to a remotely sensed image and is compose
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 503 (2020)
Remote Sensing; Volume 12; Issue 3; Pages: 503
Remote Sensing; Volume 12; Issue 3; Pages: 503
The generation of land cover maps with both fine spatial and temporal resolution would aid the monitoring of change on the Earth’s surface. Spatio-temporal sub-pixel land cover mapping (STSPM) uses a few fine spatial resolution (FR) maps and a time
Autor:
Feng Ling, Yihang Zhang, Lingfei Shi, Xiaodong Li, Giles M. Foody, Lihui Wang, Yun Du, Yong Ge
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1148 (2017)
Remote Sensing; Volume 9; Issue 11; Pages: 1148
Remote Sensing; Volume 9; Issue 11; Pages: 1148
Detailed information on the spatial-temporal change of impervious surfaces is important for quantifying the effects of rapid urbanization. Free access of the Landsat archive provides new opportunities for impervious surface mapping with fine spatial
The development of remote sensing has enabled the acquisition of information on land-cover change at different spatial scales. However, a trade-off between spatial and temporal resolutions normally exists. Fine-spatial-resolution images have low temp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a8cf5fddaca86dd8346178fba1514ee
https://nottingham-repository.worktribe.com/file/788831/1/Feng-IEEE-1.pdf
https://nottingham-repository.worktribe.com/file/788831/1/Feng-IEEE-1.pdf