Toward comprehensive uncertainty predictions for remote imaging spectroscopy

2020 ◽  
Author(s):  
David R. Thompson ◽  
Philip G. Brodrick ◽  
Niklas N. Bohn ◽  
Amy Braverman ◽  
Nimrod Carmon ◽  
...  
Keyword(s):  
Imaging Spectroscopy ◽  
Remote Imaging

scholarly journals Space-based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter

2016 ◽  
Vol 43 (12) ◽  
pp. 6571-6578 ◽  
Author(s):  
D. R. Thompson ◽  
A. K. Thorpe ◽  
C. Frankenberg ◽  
R. O. Green ◽  
R. Duren ◽  
...  
Keyword(s):  
Imaging Spectroscopy ◽  
Remote Imaging

Coastal Imaging Spectroscopy

2006 ◽  
Author(s):  
David D. Kohler ◽  
W. P. Bissett
Keyword(s):  
Imaging Spectroscopy

Coastal Imaging Spectroscopy

2006 ◽  
Author(s):  
David D. Kohler ◽  
W. P. Bissett
Keyword(s):  
Imaging Spectroscopy

scholarly journals Spatial Analysis of the Drivers, Characteristics, and Effects of Forest Fragmentation

2021 ◽  
Vol 13 (6) ◽  
pp. 3246
Author(s):  
Zoe Slattery ◽  
Richard Fenner
Keyword(s):  
Forest Fragmentation ◽  
Forest Fires ◽  
Geographical Information ◽  
Agricultural Expansion ◽  
Forest Patches ◽  
Mato Grosso ◽  
Remote Imaging ◽  
Landscape Characteristics ◽  
High Level

Building on the existing literature, this study examines whether specific drivers of forest fragmentation cause particular fragmentation characteristics, and how these characteristics can be linked to their effects on forest-dwelling species. This research uses Landsat remote imaging to examine the changing patterns of forests. It focuses on areas which have undergone a high level of a specific fragmentation driver, in particular either agricultural expansion or commodity-driven deforestation. Seven municipalities in the states of Rondônia and Mato Grosso in Brazil are selected as case study areas, as these states experienced a high level of commodity-driven deforestation and agricultural expansion respectively. Land cover maps of each municipality are created using the Geographical Information System software ArcGIS Spatial Analyst extension. The resulting categorical maps are input into Fragstats fragmentation software to calculate quantifiable fragmentation metrics for each municipality. To determine the effects that these characteristics are likely to cause, this study uses a literature review to determine how species traits affect their responses to forest fragmentation. Results indicate that, in areas that underwent agricultural expansion, the remaining forest patches became more complex in shape with longer edges and lost a large amount of core area. This negatively affects species which are either highly dispersive or specialist to core forest habitat. In areas that underwent commodity-driven deforestation, it was more likely that forest patches would become less aggregated and create disjunct core areas. This negatively affects smaller, sedentary animals which do not naturally travel long distances. This study is significant in that it links individual fragmentation drivers to their landscape characteristics, and in turn uses these to predict effects on species with particular traits. This information will prove useful for forest managers, particularly in the case study municipalities examined in this study, in deciding which species require further protection measures. The methodology could be applied to other drivers of forest fragmentation such as forest fires.

scholarly journals Imaging Spectroscopy for Conservation Applications

2021 ◽  
Vol 13 (2) ◽  
pp. 292
Author(s):  
Megan Seeley ◽  
Gregory P. Asner
Keyword(s):  
Remote Sensing ◽  
Decision Making ◽  
Case Studies ◽  
Spatial Scales ◽  
Imaging Spectroscopy ◽  
Remote Sensing Data ◽  
Decision Makers ◽  
High Spectral Resolution ◽  
Conservation Areas ◽  
Broad Array

As humans continue to alter Earth systems, conservationists look to remote sensing to monitor, inventory, and understand ecosystems and ecosystem processes at large spatial scales. Multispectral remote sensing data are commonly integrated into conservation decision-making frameworks, yet imaging spectroscopy, or hyperspectral remote sensing, is underutilized in conservation. The high spectral resolution of imaging spectrometers captures the chemistry of Earth surfaces, whereas multispectral satellites indirectly represent such surfaces through band ratios. Here, we present case studies wherein imaging spectroscopy was used to inform and improve conservation decision-making and discuss potential future applications. These case studies include a broad array of conservation areas, including forest, dryland, and marine ecosystems, as well as urban applications and methane monitoring. Imaging spectroscopy technology is rapidly developing, especially with regard to satellite-based spectrometers. Improving on and expanding existing applications of imaging spectroscopy to conservation, developing imaging spectroscopy data products for use by other researchers and decision-makers, and pioneering novel uses of imaging spectroscopy will greatly expand the toolset for conservation decision-makers.

scholarly journals Understanding limits of species identification using simulated imaging spectroscopy

2021 ◽  
Vol 259 ◽  
pp. 112405
Author(s):  
Martin van Leeuwen ◽  
Henry Aaron Frye ◽  
Adam Michael Wilson
Keyword(s):  
Species Identification ◽  
Imaging Spectroscopy

scholarly journals Imaging Spectroscopy of Flows in Active Regions

1993 ◽  
Vol 141 ◽  
pp. 542-544
Author(s):  
P. Mein ◽  
N. Mein
Keyword(s):  
Imaging Spectroscopy ◽  
Active Regions ◽  
Dynamical Model ◽  
La Palma ◽  
Simple Dynamical Model

AbstractWe use imaging spectroscopy from the MSDP of the VTT telescope in Tenerife (collaboration Paris-Meudon Observatory and Kiepenheuer Institut) to analyse Doppler velocities of arch filaments in Hα and NαD1. The geometry of the magnetic loops is deduced from perspective effects with a simple dynamical model. Velocities are correlated in both lines.Further results are expected from simultaneous observations with other instruments (SVST of La Palma and Huairou magnetograph).

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