Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Fugen Jiang"'
Publikováno v:
Carbon Balance and Management, Vol 17, Iss 1, Pp 1-13 (2022)
Abstract Background Fast and accurate forest aboveground biomass (AGB) estimation and mapping is the basic work of forest management and ecosystem dynamic investigation, which is of great significance to evaluate forest quality, resource assessment,
Externí odkaz:
https://doaj.org/article/25d326916a2b4bc6aab272d6c7f47a19
Publikováno v:
Ecological Indicators, Vol 143, Iss , Pp 109365- (2022)
Natural forests have the most complex structure and richest biodiversity among terrestrial ecosystems and are essential for maintaining the carbon balance and stability of the biosphere. Aboveground biomass (AGB) is a primary indicator used to evalua
Externí odkaz:
https://doaj.org/article/c3f4126ddddc4187a697366dc17d63fd
Publikováno v:
Drones, Vol 7, Iss 4, p 262 (2023)
Normalized point clouds (NPCs) derived from unmanned aerial vehicle-light detection and ranging (UAV-LiDAR) data have been applied to extract relevant forest inventory information. However, detecting treetops from topographically normalized LiDAR poi
Externí odkaz:
https://doaj.org/article/0876f534b1d444b583a43d966d867224
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Due to the cold climate and dramatically undulating altitude, the identification of dynamic vegetation trends and main drivers is essential to maintain the ecological balance in Tibet. The normalized difference vegetation index (NDVI), as the most co
Externí odkaz:
https://doaj.org/article/6a9bd4b8f87540889489a424d7bc2a72
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5734 (2022)
Accurate estimation of forest above-ground biomass (AGB) is critical for assessing forest quality and carbon stocks, which can improve understanding of the vegetation growth processes and the global carbon cycle. Landsat 9, the latest launched Landsa
Externí odkaz:
https://doaj.org/article/0d785f6e44094f1c9f6343dbe3f32947
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 298 (2022)
Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR) sensors offers the efficient operation and advantages of active remote sensing; hence, UAV-LiDAR plays an important role in forest resource investigations. Howe
Externí odkaz:
https://doaj.org/article/b2bce91296f5481a8eacc7723073f3ab
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 642 (2022)
Oil tea (Camellia oleifera) is one of the world’s major woody edible oil plants and is vital in providing food and raw materials and ensuring water conservation. The yield of oil tea can directly reflect the growth condition of oil tea forests, and
Externí odkaz:
https://doaj.org/article/af506b39fb05417db35b74a4e6c5c3dc
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
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1535 (2021)
The forest canopy height (FCH) plays a critical role in forest quality evaluation and resource management. The accurate and rapid estimation and mapping of the regional forest canopy height is crucial for understanding vegetation growth processes and
Externí odkaz:
https://doaj.org/article/42c95bda00b04a4782248c4fc6a5e2ae
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1442 (2021)
Detecting and segmenting individual trees in forest ecosystems with high-density and overlapping crowns often results in bias due to the limitations of the commonly used canopy height model (CHM). To address such limitations, this paper proposes a ne
Externí odkaz:
https://doaj.org/article/47ab7636930b4ba8a9d3acd5e26dd514