Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Kaidong Feng"'
Autor:
Kaidong Feng, Dehua Mao, Jianing Zhen, Haiguang Pu, Hengqi Yan, Ming Wang, Duanrui Wang, Hengxing Xiang, Yongxing Ren, Ling Luo, Zongming Wang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9894-9906 (2024)
The composition and dynamics of wetland plant communities play a critical role in maintaining the functionality of wetland ecosystems and serve as important indicators of wetland degradation and restoration. Accurately identifying wetland plant commu
Externí odkaz:
https://doaj.org/article/e227d85dc8584de1ba3af27fa69ddf60
Autor:
Hengxing Xiang, Yanbiao Xi, Dehua Mao, Tianyuan Xu, Ming Wang, Fudong Yu, Kaidong Feng, Zongming Wang
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3706-3724 (2023)
Climate change and human activities have reduced the area and degraded the functions and services of wetlands in China. To protect and restore wetlands, it is urgent to predict the spatial distribution of potential wetlands. In this study, the distri
Externí odkaz:
https://doaj.org/article/9130e22f4b034b3fb48b37abf9589ec0
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 2202-2216 (2022)
Understanding the distribution of wetland plant communities is critical to biodiversity conservation and wetland habitat sustainable management, especially for migratory birds. However, limited road accessibility and low spectral discriminability mak
Externí odkaz:
https://doaj.org/article/18c6058ea19e4e5eba548fb92a370223
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6445-6455 (2022)
The propagation of the invasive Spartina alterniflora (S. alterniflora) has seriously affected the health of coastal wetland ecosystems in China and thus requires an urgent response. In this article, we construct a feature vector set containing pheno
Externí odkaz:
https://doaj.org/article/6db260ee93c44a8b9a661f5a47ba6b40
Publikováno v:
Frontiers in Ecology and Evolution, Vol 10 (2022)
Examining vegetation aboveground biomass (AGB) changes is important to understanding wetland carbon sequestration. Here, we combined the field-measured AGB data (458 samples) from 2009 to 2021, moderate resolution imaging spectroradiometer reflectanc
Externí odkaz:
https://doaj.org/article/0eb43a30105544c7bb7af6493f933bc5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8249-8258 (2021)
Understanding the spatial patterns of plant communities is important for sustainable wetland ecosystem management and biodiversity conservation. With the rapid development of unmanned aerial vehicle (UAV) technology, UAV-borne hyperspectral data with
Externí odkaz:
https://doaj.org/article/a09f4d1e3b1a486da2495e8ba9fbd21e
Autor:
Yuxin Zhao, Dehua Mao, Dongyou Zhang, Zongming Wang, Baojia Du, Hengqi Yan, Zhiqiang Qiu, Kaidong Feng, Jingfa Wang, Mingming Jia
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 694 (2022)
Phragmites australis (P. australis) is one of the most important plant species found in wetland ecosystems, and its aboveground biomass (AGB) is a key indicator for assessing the quality or health of a wetland site. In this study, we combined Sentine
Externí odkaz:
https://doaj.org/article/86085a8afb4c4e54bdd2aba2057b9171
Publikováno v:
Chinese Management Studies. 16:765-786
Purpose The purpose of this study is to explore the competitive source of Chinese firms in an industrial sector of complex product systems. It helps to reveal the organizational innovation developed by Chinese firms in coping with international compe
Autor:
Kaidong Feng, Ziying Jiang
Publikováno v:
Review of Policy Research. 38:427-453
This study analyzes state capacity by comparing two types of innovation policies in China and estimating its impacts on policy performance. State capacity is defined as the extent to which the state can realize its objectives in policy and it is dete
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:8249-8258
Understanding the spatial patterns of plant communities is important for sustainable wetland ecosystem management and biodiversity conservation. With the rapid development of unmanned aerial vehicle (UAV) technology, UAV-borne hyperspectral data with