Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Wenshu Lin"'
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Knowledge of spring warm pool in the Bay of Bengal (BoBWP) is key for further understanding the climate variability in this region and beyond, but little is known about the BoBWP climatological state and the related mechanisms. In this study, we inve
Externí odkaz:
https://doaj.org/article/e8cacef6c647438980be7671a8ffbc36
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3742 (2024)
Strong salinity stratification induced by large freshwater fluxes in the northern Bay of Bengal (BOB) results in the formation of a quasi-permanent barrier layer (BL) that covers almost the entire BOB and leads to a unique temperature inversion withi
Externí odkaz:
https://doaj.org/article/b8b1c7942e1346d29229d3a533b0ea90
Publikováno v:
Forests, Vol 15, Iss 2, p 293 (2024)
Automatic and accurate individual tree species identification is essential for the realization of smart forestry. Although existing studies have used unmanned aerial vehicle (UAV) remote sensing data for individual tree species identification, the ef
Externí odkaz:
https://doaj.org/article/c02887224afa4013a6ba5852a8ba1af4
Autor:
Hao Zhong, Wenshu Lin, Haoran Liu, Nan Ma, Kangkang Liu, Rongzhen Cao, Tiantian Wang, Zhengzhao Ren
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Rapid and accurate identification of tree species via remote sensing technology has become one of the important means for forest inventory. This paper is to develop an accurate tree species identification framework that integrates unmanned airborne v
Externí odkaz:
https://doaj.org/article/ad9670be09bc40068d73c944b2682039
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 6169 (2022)
The southern Bay of Bengal (BOB) cold pool (SCP) plays an important role in the regional climate fluctuation of the BOB. However, the interannual variability in the SCP is still unknown. Multisource satellite remote sensing data and assimilation have
Externí odkaz:
https://doaj.org/article/0c0d3cf4f28d4d5e82ba79c45f6d2c6f
Publikováno v:
Forests, Vol 12, Iss 3, p 292 (2021)
Handheld mobile laser scanning (HMLS) can quickly acquire point cloud data, and has the potential to conduct forest inventory at the plot scale. Considering the problems associated with HMLS data such as large discreteness and difficulty in classific
Externí odkaz:
https://doaj.org/article/e2e09acb86944c048f20666ddfb65633
Publikováno v:
International Journal of Forestry Research, Vol 2013 (2013)
China is a country rich in diverse forest ecosystems due to the large span of the country, complex topography, and multiple climate regimes. In this paper, the basic information of forest resources in China was briefly introduced and the current stat
Externí odkaz:
https://doaj.org/article/7787c073aefb491bb9bc42fd23e709bc
Publikováno v:
Sustainability; Volume 15; Issue 11; Pages: 8898
This paper constructed a carbon footprint calculation model and analyzed the carbon footprint characteristics and impact mechanism of forestry enterprises in the Greater Khinggan Range, northeast China, based on the survey and statistical data during
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::446c8856c271e1fd4c15676cd87fcfb4
Publikováno v:
Scandinavian Journal of Forest Research. 36:460-473
Hand-held mobile laser scanning (HMLS) can quickly and effectively obtain tree point cloud data, which has great potential to conduct forest resource survey at the plot or stand scale. To improve t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81a4b36ae92b206b68ca0b3728e24b7f
https://doi.org/10.1080/02827581.2021.1973554
https://doi.org/10.1080/02827581.2021.1973554
Publikováno v:
BioResources. 2019, Vol. 14 Issue 4, p8689-8700. 12p. 3 Diagrams, 4 Graphs.