High Spatial Resolution Fabry-Perot Imaging of M82: Near-Infrared Recombination Line Observations

1995 ◽  
Vol 448 ◽  
pp. 611 ◽  
Author(s):  
Shobita Satyapal ◽  
Dan M. Watson ◽  
Judith L. Pipher ◽  
William J. Forrest ◽  
Diana Coppenbarger ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Near Infrared ◽  
High Spatial Resolution ◽  
Recombination Line ◽  
Fabry Perot

scholarly journals Remote Sensing of Coconut Trees in Tonga Using Very High Spatial Resolution WorldView-3 Data

2020 ◽  
Vol 12 (19) ◽  
pp. 3113 ◽  
Author(s):  
Eric F. Vermote ◽  
Sergii Skakun ◽  
Inbal Becker-Reshef ◽  
Keiko Saito
Keyword(s):  
Spatial Resolution ◽  
Near Infrared ◽  
Census Data ◽  
High Spatial Resolution ◽  
Sampling Rate ◽  
Validation Data ◽  
Geometrical Properties ◽  
Coconut Tree ◽  
Very High Spatial Resolution ◽  
Very High

This paper presents a simple and efficient image processing method for estimating the number of coconut trees in the Tonga region using very high spatial resolution data (30 cm) in the blue, green, red and near infrared spectral bands acquired by the WorldView-3 sensor. The method is based on the detection of tree shadows and the further analysis to reject false detection using geometrical properties of the derived segments. The algorithm is evaluated by comparing coconut tree counts derived by an expert through photo-interpretation over 57 randomly distributed (4% sampling rate) segments of 200 m × 200 m over the Vaini region of the Tongatapu island. The number of detected trees agreed within 5% versus validation data. The proposed method was also evaluated over the whole Tonga archipelago by comparing satellite-derived estimates to the 2015 agricultural census data—the total tree counts for both Tonga and Tongatapu agreed within 3%.

scholarly journals Morphology of z ~ 1 galaxies from deep K-band AO imaging

2006 ◽  
Vol 2 (S235) ◽  
pp. 405-405
Author(s):  
Marc Huertas-Company ◽  
Daniel Rouan ◽  
Geneviève Soucail ◽  
Olivier Le Fèvre ◽  
Lidia Tasca
Keyword(s):  
Adaptive Optics ◽  
Spatial Resolution ◽  
Near Infrared ◽  
High Spatial Resolution ◽  
Integration Time ◽  
Early Type ◽  
Distant Galaxies ◽  
First Time ◽  
Concentration Asymmetry ◽  
Adaptive Optics System

AbstractWe present the results of observations of distant galaxies (z ~ 0.8) at high spatial resolution (~0.1"). We observed 7 fields of 1' × 1' with the NACO Adaptive Optics system (VLT) in Ks (2.2μm) band with typical V ~ 14 guide stars and 3h integration time per field. Observed fields are selected within the COSMOS survey area. We analyze the morphologies by means of B/D (Bulge/Disk) decomposition with GIM2D and CAS (Concentration-Asymmetry) estimators for 79 galaxies with magnitudes between Ks = 17 − 23 and classify them in three main morphological types (Late Type, Early Type and Irregulars). We obtain for the first time an estimate of the distribution of galaxy types at redshift z ~ 1 as measured from the near infrared at high spatial resolution.

High Spatial Resolution Near-Infrared Images of Taurus Protostars

2007 ◽  
Vol 133 (5) ◽  
pp. 1911-1926 ◽  
Author(s):  
Luciana V. Gramajo ◽  
Barbara A. Whitney ◽  
Scott J. Kenyon ◽  
Mercedes Gómez ◽  
K. M. Merrill
Keyword(s):  
Spatial Resolution ◽  
Near Infrared ◽  
High Spatial Resolution ◽  
Infrared Images

Rapid locating of fire points from Formosat-2 high spatial resolution imagery: example of the 2007 California wildfire

2009 ◽  
Vol 18 (4) ◽  
pp. 415 ◽  
Author(s):  
Cheng-Chien Liu ◽  
An-Ming Wu ◽  
Sheng-Yun Yen ◽  
Chiung-Huei Huang
Keyword(s):  
Spatial Resolution ◽  
Near Infrared ◽  
High Spatial Resolution ◽  
Burned Area ◽  
Infrared Band ◽  
Imaging Spectrometer ◽  
Modis Image ◽  
Local Spatial Statistics ◽  
Moderate Resolution ◽  
Resolution Imaging

We report the rapid response of Formosat-2 to locate the fire points in the 2007 California wildfire. After examining the Moderate Resolution Imaging Spectrometer (MODIS) image taken and released on 23 October 2007, we used the agility of Formosat-2 to take high spatial resolution images of the wildfire front on its next overpass of the newly burned area. By calculating the local spatial statistics of the near-infrared band, fire points with a scale of a few metres can be accurately identified on the 2-m pan-sharpened Formosat-2 image. The present work suggests that the synergistic operation of MODIS and Formosat-2 would enable the rapid locating of fire points during wildfires.

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