Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Chunyuan Diao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1390-1402 (2023)
Crop-type mapping using time-series remote sensing data is crucial for a wide range of agricultural applications. Crop mapping during the growing season is particularly critical in timely monitoring of the agricultural system. Most existing studies f
Externí odkaz:
https://doaj.org/article/3c9fa2c1e44743a4acc5090e5526bce4
Autor:
Chunyuan Diao, Geyang Li
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 1957 (2022)
Detecting crop phenology with satellite time series is important to characterize agroecosystem energy-water-carbon fluxes, manage farming practices, and predict crop yields. Despite the advances in satellite-based crop phenological retrievals, interp
Externí odkaz:
https://doaj.org/article/bf83d83510724d438dc43717c34ca102
Autor:
Feng Gao, Martha C. Anderson, David M. Johnson, Robert Seffrin, Brian Wardlow, Andy Suyker, Chunyuan Diao, Dawn M. Browning
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5074 (2021)
Crop emergence is a critical stage for crop development modeling, crop condition monitoring, and biomass accumulation estimation. Green-up dates (or the start of the season) detected from remote sensing time series are related to, but generally lag,
Externí odkaz:
https://doaj.org/article/4fb2a38988dd42dd887258e4501a2e61
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5005 (2021)
Dense time-series remote sensing data with detailed spatial information are highly desired for the monitoring of dynamic earth systems. Due to the sensor tradeoff, most remote sensing systems cannot provide images with both high spatial and temporal
Externí odkaz:
https://doaj.org/article/993e3363df67438a8a9d661008ae992c
Autor:
Xiangcai Li, Jinyan Tian, Xiaojuan Li, Le Wang, Huili Gong, Chen Shi, Sheng Nie, Lin Zhu, Beibei Chen, Yun Pan, Jijun He, Rongguang Ni, Chunyuan Diao
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 193:77-89
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15188a627f5a4f1609ebb655ef1308e5
https://doi.org/10.1016/j.isprsjprs.2022.09.002
https://doi.org/10.1016/j.isprsjprs.2022.09.002
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 181:308-326
Crop phenology regulates seasonal agroecosystem carbon, water, and energy exchanges, and is a key component in empirical and process-based crop models for simulating biogeochemical cycles of farmlands, assessing gross and net primary production, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6f785cde317aa233345f825f4f67f59
https://doi.org/10.1016/j.isprsjprs.2021.09.011
https://doi.org/10.1016/j.isprsjprs.2021.09.011
Publikováno v:
International Journal of Remote Sensing. 42:8318-8344
The land cover classification of very high-resolution (VHR) remote sensing images is a challenging task. VHR images depict many complex objects with various shapes in complicated contexts. The deep...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6020208b02ccca98d8936ea34d42b8b4
https://doi.org/10.1080/01431161.2021.1951879
https://doi.org/10.1080/01431161.2021.1951879
Publikováno v:
Practice and Experience in Advanced Research Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5dc6b539a991190bee82971d9fb0eec
https://doi.org/10.1145/3491418.3535145
https://doi.org/10.1145/3491418.3535145
Autor:
Chunyuan Diao
Publikováno v:
Remote Sensing of Environment. 229:179-192
Vegetation phenological events, especially peak foliage coloration, are among the ecological phenomena that are most sensitive to climate change. Compared to spring seasonally recurring events, fall phenology remains much less understood. Remotely se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8cf1afa0a5b6faf9dfa4489131ce39a
https://doi.org/10.1016/j.rse.2019.05.003
https://doi.org/10.1016/j.rse.2019.05.003
Autor:
Chunyuan Diao
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 153:96-109
Large-scale remote monitoring of crop phenological development is vital for scheduling farm management activities and estimating crop yields. Tracking crop phenological progress is also crucial to understand agricultural responses to environmental st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e77044ca2da482dac95a911fe056915
https://doi.org/10.1016/j.isprsjprs.2019.04.012
https://doi.org/10.1016/j.isprsjprs.2019.04.012