Zobrazeno 1 - 10
of 2 194
pro vyhledávání: '"individual tree"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract We present an open access dataset for development, evaluation, and comparison of algorithms for individual tree detection in dense mixed forests. The dataset consists of a detailed field inventory and overlapping UAV LiDAR and RGB orthophoto
Externí odkaz:
https://doaj.org/article/b27a082fb1544e2a8854647c881fd625
Autor:
Jun Lu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Individual modelling is a foundational approach to study the natural forest growth and in this paper, we develop a serial distance-depended individual tree model for some species in natural forest which would provide prediction and character
Externí odkaz:
https://doaj.org/article/472ea53506d8482fa51047912dbabfa2
Autor:
Mostafa Javadian, Donald M. Aubrecht, Joshua B. Fisher, Russell L. Scott, Sean P. Burns, Jen L. Diehl, J. William Munger, Andrew D. Richardson
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 20, Pp n/a-n/a (2024)
Abstract Understanding tree transpiration variability is vital for assessing ecosystem water‐use efficiency and forest health amid climate change, yet most landscape‐level measurements do not differentiate individual trees. Using canopy temperatu
Externí odkaz:
https://doaj.org/article/b45b654b5a6748e7b7f29d4f52b0ada6
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112710- (2024)
Canopy cover (CC) is the proportion of a forest floor covered by the vertical projection of tree crowns. Recently, it has become common to utilize LiDAR (light detection and ranging) canopy metrics to estimate CC over large areas. However, these metr
Externí odkaz:
https://doaj.org/article/66eddc41081542e48e47c8155393e058
Autor:
Cailian Zhang, Chengwen Song, Aleksandra Zaforemska, Jiaxing Zhang, Rachel Gaulton, Wenxia Dai, Wen Xiao
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTAccurate Individual Tree Segmentation (ITS) is fundamental to fine-scale forest structure and management studies. Light detection and ranging (Lidar) from Unoccupied Aerial Systems (UAS) has shown strengths in ITS and tree parameter estimatio
Externí odkaz:
https://doaj.org/article/5d3e50056d6249ef9d175d6a487fc9b9
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTMediterranean forests of Aleppo pine (Pinus halepensis Mill.) have a crucial role in climate change, as they are extremely adaptive and provide valuable timber or carbon stocks. However, greater detail quantifying those attributes is needed:
Externí odkaz:
https://doaj.org/article/613f39a48f2c451e9961649ca9c1fd55
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTClassification of individual tree species (ITS) is critical for fine-scale forest surveys. However, it is difficult to obtain the complete and high-precision data needed for ITS classification in large areas. Lower spatial resolution time-ser
Externí odkaz:
https://doaj.org/article/a98c28bd8dfc43588f9642126afc6198
Publikováno v:
Science of Remote Sensing, Vol 9, Iss , Pp 100109- (2024)
Following harvest, monitoring reforestation success is a crucial component of sustainable management. In Alberta, Canada, like other jurisdictions, the efficiency of the current plot-based forest regeneration monitoring regime is challenged by the co
Externí odkaz:
https://doaj.org/article/5a3f75c5e99c4e72b2f787fb4ac56b7d
Autor:
Yongzhu Xiong, Xiaofeng Zeng, Weiqian Lai, Jiawen Liao, Yankui Chen, Mingyong Zhu, Kekun Huang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7554-7576 (2024)
The location and number of individual fruit trees (IFTs) are critical for investigations on planting areas, fruit yield predictions, and smart orchard planning and management. These data are conventionally obtained through manual and statistical inve
Externí odkaz:
https://doaj.org/article/c540c945c3bc4b7292ca485ef85ce1bb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7040-7051 (2024)
Individual tree segmentation (ITS) is a pivotal technique in orchard research, estimating tree counts and delineating crown contours. This method provides foundational data for assessing orchard health, nutritional composition, and predicting yield.
Externí odkaz:
https://doaj.org/article/8dafc3206be14568ab5043d2b4680c61