2018
DOI: 10.1080/01431161.2018.1484965
|View full text |Cite
|
Sign up to set email alerts
|

A method for extracting the leaf litter distribution area in forest using chip feature

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
2
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 38 publications
0
2
0
Order By: Relevance
“…The most striking feature of UAS data is the very fine spatial resolution that is possible, as small as centimeter scale (or potentially even finer scales), as is demonstrated by many of the papers in this special issue. For example, Pádua et al (2018) produce images with 2.4-3.8 cm pixels, and Zhou et al (2018) images with 5 cm pixels. Though scientists are only just beginning to explore remote sensing at this scale, this fine resolution allows a fundamentally different scale of feature to mapped, such as small weeds in an agricultural field (Stroppiana et al 2018).…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…The most striking feature of UAS data is the very fine spatial resolution that is possible, as small as centimeter scale (or potentially even finer scales), as is demonstrated by many of the papers in this special issue. For example, Pádua et al (2018) produce images with 2.4-3.8 cm pixels, and Zhou et al (2018) images with 5 cm pixels. Though scientists are only just beginning to explore remote sensing at this scale, this fine resolution allows a fundamentally different scale of feature to mapped, such as small weeds in an agricultural field (Stroppiana et al 2018).…”
mentioning
confidence: 99%
“…• Evapotranspiration (Brenner et al 2018) • Vegetation biophysical and biochemical properties (Lu, He, and Liu 2018) • Environmental bio-remediation monitoring (Capolupo et al 2018) • Leaf litter mapping (Zhou et al 2018) UAS applications in agriculture are clearly also very important. Hunt and Daughtry (2018) provide an overview of the potential, and perhaps more crucially, current limitations of UAS for agricultural purposes.…”
mentioning
confidence: 99%