Cirrus cloud detection from Airborne Imaging Spectrometer data using the 1.38 µm water vapor band

1993 ◽  
Vol 20 (4) ◽  
pp. 301-304 ◽  
Author(s):  
Bo-Cai Gao ◽  
Alexander F. H. Goetz ◽  
Warren J. Wiscombe
Keyword(s):  
Water Vapor ◽  
Cirrus Cloud ◽  
Cloud Detection ◽  
Imaging Spectrometer ◽  
Airborne Imaging ◽  
Spectrometer Data

Minimizing soil moisture variations in multi-temporal airborne imaging spectrometer data for digital soil mapping

Geoderma ◽  
2019 ◽  
Vol 337 ◽  
pp. 607-621 ◽  
Author(s):  
Sanne Diek ◽  
Sabine Chabrillat ◽  
Marco Nocita ◽  
Michael E. Schaepman ◽  
Rogier de Jong
Keyword(s):  
Soil Moisture ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Imaging Spectrometer ◽  
Multi Temporal ◽  
Airborne Imaging ◽  
Spectrometer Data

scholarly journals Detection and Quantification of Snow Algae with an Airborne Imaging Spectrometer

2001 ◽  
Vol 67 (11) ◽  
pp. 5267-5272 ◽  
Author(s):  
Thomas H. Painter ◽  
Brian Duval ◽  
William H. Thomas ◽  
Maria Mendez ◽  
Sara Heintzelman ◽  
...  
Keyword(s):  
Sierra Nevada ◽  
Wavelength Range ◽  
Spectral Reflectance ◽  
Infrared Imaging ◽  
Spectral Signature ◽  
Absorption Feature ◽  
Imaging Spectrometer ◽  
Algal Concentration ◽  
Airborne Imaging ◽  
Spectrometer Data

ABSTRACT We describe spectral reflectance measurements of snow containing the snow alga Chlamydomonas nivalis and a model to retrieve snow algal concentrations from airborne imaging spectrometer data. Because cells of C. nivalis absorb at specific wavelengths in regions indicative of carotenoids (astaxanthin esters, lutein, β-carotene) and chlorophylls a and b, the spectral signature of snow containing C. nivalis is distinct from that of snow without algae. The spectral reflectance of snow containing C. nivalis is separable from that of snow without algae due to carotenoid absorption in the wavelength range from 0.4 to 0.58 μm and chlorophyll a and babsorption in the wavelength range from 0.6 to 0.7 μm. The integral of the scaled chlorophyll a and b absorption feature (I 0.68) varies with algal concentration (Ca ). Using the relationshipCa = 81019.2 I 0.68+ 845.2, we inverted Airborne Visible Infrared Imaging Spectrometer reflectance data collected in the Tioga Pass region of the Sierra Nevada in California to determine algal concentration. For the 5.5-km2 region imaged, the mean algal concentration was 1,306 cells ml−1, the standard deviation was 1,740 cells ml−1, and the coefficient of variation was 1.33. The retrieved spatial distribution was consistent with observations made in the field. From the spatial estimates of algal concentration, we calculated a total imaged algal biomass of 16.55 kg for the 0.495-km2 snow-covered area, which gave an areal biomass concentration of 0.033 g/m2.

Radiometric restoration of airborne imaging spectrometer data

1998 ◽  
Author(s):  
Xiaofang Guo ◽  
Runsheng Wang ◽  
Jicheng Cheng ◽  
Qinghua Wang
Keyword(s):  
Imaging Spectrometer ◽  
Airborne Imaging ◽  
Spectrometer Data

Study of crop growth parameters using Airborne Imaging Spectrometer data

2001 ◽  
Vol 22 (12) ◽  
pp. 2401-2411 ◽  
Author(s):  
N. K. Patel ◽  
C. Patnaik ◽  
S. Dutta ◽  
A. M. Shekh ◽  
A. J. Dave
Keyword(s):  
Growth Parameters ◽  
Crop Growth ◽  
Imaging Spectrometer ◽  
Airborne Imaging ◽  
Spectrometer Data
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