Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Mykola Kutia"'
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2792 (2021)
Urban forest is an important component of terrestrial ecosystems and is highly related to global climate change. However, because of complex city landscapes, deriving the spatial distribution of urban forest carbon density and conducting accuracy ass
Externí odkaz:
https://doaj.org/article/3bbb16f22ac445f9bc800a5e67a13fb9
Autor:
Zhao Wang, Shuguang Liu, Ying-Ping Wang, Ruben Valbuena, Yiping Wu, Mykola Kutia, Yi Zheng, Weizhi Lu, Yu Zhu, Meifang Zhao, Xi Peng, Haiqiang Gao, Shuailong Feng, Yi Shi
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 168 (2021)
Gross primary production (GPP) determines the amounts of carbon and energy that enter terrestrial ecosystems. However, the tremendous uncertainty of the GPP still hinders the reliability of GPP estimates and therefore understanding of the global carb
Externí odkaz:
https://doaj.org/article/35ccebe7b8e343f4bc86d20813f29e9b
Autor:
Fugen Jiang, Mykola Kutia, Arbi J. Sarkissian, Hui Lin, Jiangping Long, Hua Sun, Guangxing Wang
Publikováno v:
Sensors, Vol 20, Iss 24, p 7248 (2020)
Forest growing stem volume (GSV) reflects the richness of forest resources as well as the quality of forest ecosystems. Remote sensing technology enables robust and efficient GSV estimation as it greatly reduces the survey time and cost while facilit
Externí odkaz:
https://doaj.org/article/fa68b32ce63b420c800d36c9e7e8cc44
Autor:
Maochou Liu, Shuguang Liu, Ying Ning, Yu Zhu, Rubén Valbuena, Rui Guo, Yuanyuan Li, Wenxi Tang, Dengkui Mo, Isabel M.D. Rosa, Mykola Kutia, Wenmin Hu
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 2905 (2020)
The co-evolution of multi-cities has emerged as the primary form of urbanization in China in recent years. However, the processes, patterns, and coordination are not well characterized and understood, which hinders the understanding of the driving fo
Externí odkaz:
https://doaj.org/article/7965d215648e4ad9873b6b9d4618569d
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1884 (2020)
As an important vegetation canopy parameter, the leaf area index (LAI) plays a critical role in forest growth modeling and vegetation health assessment. Estimating LAI is helpful for understanding vegetation growth and global ecological processes. Ma
Externí odkaz:
https://doaj.org/article/f0d5128115a0419ea6953f2db0b9fd7e
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 187 (2020)
Satellite imagery of 25−30 m spatial resolution has been recognized as an effective tool for monitoring the spatial and temporal dynamics of forest cover at different scales. However, the precise mapping of forest cover over fragmented landscapes i
Externí odkaz:
https://doaj.org/article/a9294fd0c535404da5c46643fa7839f2
Autor:
Arbi J. Sarkissian, Mykola Kutia, Fugen Jiang, Guangxing Wang, Jiangping Long, Hua Sun, Hui Lin
Publikováno v:
Sensors, Vol 20, Iss 7248, p 7248 (2020)
Sensors
Volume 20
Issue 24
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 24
Sensors (Basel, Switzerland)
Forest growing stem volume (GSV) reflects the richness of forest resources as well as the quality of forest ecosystems. Remote sensing technology enables robust and efficient GSV estimation as it greatly reduces the survey time and cost while facilit
Autor:
Zhao Wang, Shuguang Liu, Ying Ping Wang, Ruben Valbuena, Yiping Wu, Mykola Kutia, Shuqing Zhao, Wenping Yuan, Yi Zheng, Yu Zhu, Weizhi Lu, Meifang Zhao, Xi Peng, Haiqiang Gao, Shuailong Feng, Yi Shi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::892b434f5bc3ebfeeaf6563a27410109
https://doi.org/10.22541/au.159373039.99908660
https://doi.org/10.22541/au.159373039.99908660
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 187 (2020)
Remote Sensing; Volume 12; Issue 1; Pages: 187
Remote Sensing; Volume 12; Issue 1; Pages: 187
Satellite imagery of 25–30 m spatial resolution has been recognized as an effective tool for monitoring the spatial and temporal dynamics of forest cover at different scales. However, the precise mapping of forest cover over fragmented landscapes i
Publikováno v:
Science of The Total Environment. 785:147335
As a crucial indicator of forest growth and quality, estimating aboveground biomass (AGB) plays a key role in monitoring the global carbon cycle and forest health assessments. Novel methods and applications in remote sensing technology can greatly re