Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Cenliang Zhao"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104114- (2024)
Global warming has shown an “Arctic amplification effect” in recent decades, leading to pronounced changes in pan-Arctic soil surface temperature (SST). SST plays a direct role in energy exchange between soil and atmosphere and serves as an indic
Externí odkaz:
https://doaj.org/article/2a83d6c02592468abf3e1df65772e098
Autor:
Wenquan Zhu, Zhiying Xie, Cenliang Zhao, Zhoutao Zheng, Kun Qiao, Dailiang Peng, Yongshuo H. Fu
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTAccurately estimating gross primary productivity (GPP), the largest carbon flux in terrestrial ecosystems, is crucial for advancing our understanding of global carbon cycle and predicting climate feedbacks. The advancements in remote sensing
Externí odkaz:
https://doaj.org/article/ba8d284504ee40cf9fffdf9730dd44ba
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103698- (2024)
Texture is a key spatial feature for object recognition in remote sensing images. Currently, most texture feature extraction methods mainly focus on the repeated patterns of texture primitives (the basic texture units) but rarely consider their spati
Externí odkaz:
https://doaj.org/article/9adf9c498ce5457a978782acb8e03366
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 338-352 (2022)
Most of the existing remote sensing-based yield estimation methods adopt the mean or cumulative value of meteorological factors within the whole growing season, which may ignore the impact of adverse meteorological conditions on the growth of winter
Externí odkaz:
https://doaj.org/article/6d8344c4ae2d439d9544f9c31814f183
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1176 (2023)
The light use efficiency (LUE) model has been widely used in regional and global terrestrial gross primary productivity (GPP) estimation due to its simple structure, few input parameters, and particular theoretical basis. As a key input parameter of
Externí odkaz:
https://doaj.org/article/eb280e6ed9c3405bbf1f0a0c5ea16468
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5891 (2022)
Pollen allergies have a serious impact on people’s physical and mental health. Accurate and efficient prediction of the outbreak date of pollen allergies plays an important role in the conservation of people sensitive to allergenic pollen. It is a
Externí odkaz:
https://doaj.org/article/51a7c5fdc9f94b6c98087fc51ca78cdf
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2247 (2022)
Vegetation index (VI) time series derived from satellite sensors have been widely used in the estimation of vegetation parameters, but the quality of VI time series is easily affected by clouds and poor atmospheric conditions. The function fitting me
Externí odkaz:
https://doaj.org/article/a793aad754af44d68833627d8c80e6e5
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f52635c8a2f02deaef4fd1af74bfbba
https://doi.org/10.2139/ssrn.4255443
https://doi.org/10.2139/ssrn.4255443