2013
DOI: 10.3133/fs20133007
|View full text |Cite
|
Sign up to set email alerts
|

Advanced and applied remote sensing of environmental conditions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 2 publications
0
2
0
Order By: Relevance
“…These spectrometers, typically, operate from 400 to 2500 nm with a very narrow bandwidth of 1 to 10 nanometers. Further, there is an emerging hyperspectral capability that has shown potential for vegetation information in the Thermal Infrared spectrum or TIR (e.g., Thermo-Nicolet Nexus 670 FTIR 250-25000 nm) (Hecker et al, 2013;Hook et al, 2013;Slonecker et al, 2013) and there are also emerging overhead sensors, such as spatially enhanced broadband array spectrograph system (SEBASS) that bring a new set of hyperspectral capabilities to the table.…”
Section: Evolution Of Hyperspectral Sensorsmentioning
confidence: 99%
See 1 more Smart Citation
“…These spectrometers, typically, operate from 400 to 2500 nm with a very narrow bandwidth of 1 to 10 nanometers. Further, there is an emerging hyperspectral capability that has shown potential for vegetation information in the Thermal Infrared spectrum or TIR (e.g., Thermo-Nicolet Nexus 670 FTIR 250-25000 nm) (Hecker et al, 2013;Hook et al, 2013;Slonecker et al, 2013) and there are also emerging overhead sensors, such as spatially enhanced broadband array spectrograph system (SEBASS) that bring a new set of hyperspectral capabilities to the table.…”
Section: Evolution Of Hyperspectral Sensorsmentioning
confidence: 99%
“…Even though much of the early research in hyperspectral remote sensing was overwhelmingly focused on minerals, now there is substantial literature in characterization, monitoring, modeling, and mapping of vegetation and agricultural crops using ground-based, platform-mounted, airborne, Unmanned Aerial Vehicle (UAV) mounted, and spaceborne hyperspectral remote sensing (Swatantran et al, 2011;Atzberger, 2013;Schlemmer et al, 2013;Udelhoven et al, 2013;Zhang et al, 2013). The state-of-the-art in hyperspectral remote sensing of vegetation and agriculture shows significant enhancement over conventional remote sensing, leading to improved and targeted modeling and mapping of specific agricultural characteristics such as: (a) biophysical and biochemical quantities (Galvão, 2011;Clark and Roberts, 2012), (b) crop type\species , (c) management and stress factors such as nitrogen deficiency, moisture deficiency, or drought conditions (Delalieux et al, 2009;Gitelson, 2013;Slonecker et al, 2013), and (d) water use and water productivities . At the same time, overcoming Hughes' phenomenon or curse of dimensionality of data and data redundancy (Plaza et al, 2009) is of great importance to make rapid advances in a much wider utilization of hyperspectral data.…”
Section: Introductionmentioning
confidence: 99%