RADIOMETRIC CHARACTERISTICS OF THE RIO DO PEIXE BASIN- BRAZIL

Satellite simulators are used to calculate the brightness temperatureTbthat would be measured by a space borne sensor under a set of atmospheric conditions accounting for the radiometric characteristics of the sensor and the orbital parameters of the satellite. In this study, a simple approach is proposed for the parameterization of emissivity over land, a key parameter for the calculation of microwaveTb. The rationale is to simulate a large ensemble of emissivity values for each frequency and surface characteristics and then relate the most likely observed value with soil characteristics. The derived emissivity values are used for the simulation ofTband simulated radiance is then compared with satellite observations. It is shown that this method improves the simulation of radiance and that it is suitable to provide a first guess of the emissivity value (a prior) that can then be refined using iterative procedures.

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An Analytical Approach Regarding Some Radiometric Problems during the Detection on the Sea Surface with a Thermal Camera

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.436.318 ◽

2013 ◽

Vol 436 ◽

pp. 318-325 ◽

Cited By ~ 2

Author(s):

Catalin Spulber ◽

Octavia Violeta Borcan

Keyword(s):

Atmospheric Pollution ◽

System Performance ◽

Analytical Approach ◽

Sea Surface ◽

Thermal Camera ◽

Analysis Software ◽

Surface Detection ◽

Thermal Signature ◽

Radiometric Characteristics ◽

Made In

The paper presents some methods to evaluate a thermal signature acquired with a thermal camera from some targets in marine background. Using a simulation interface made in MAVIIS 1,5 [ and with the ImageJ [ analysis software, the authors reveal the dependence between the atmospheric pollution, geometrical and radiometric characteristics of the targets and their backgrounds used during the sea surface detection, and the system performance of the thermal camera sensor.

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Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions

Remote Sensing of Environment ◽

10.1016/s0034-4257(96)00248-9 ◽

1997 ◽

Vol 61 (1) ◽

pp. 139-149 ◽

Cited By ~ 186

Author(s):

P Teillet

Keyword(s):

Remote Sensing ◽

Vegetation Indices ◽

Radiometric Characteristics

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Radiometric Characteristics of Geostationary Ocean Color Imager (GOCI) for Land Applications

Korean Journal of Remote Sensing ◽

10.7780/kjrs.2012.28.3.277 ◽

2012 ◽

Vol 28 (3) ◽

pp. 277-285 ◽

Cited By ~ 6

Author(s):

Kyu-Sung Lee ◽

Sung-Min Park ◽

Sun-Hwa Kim ◽

Hwa-Seon Lee ◽

Jung-Il Shin

Keyword(s):

Ocean Color ◽

Radiometric Characteristics

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Radiometric characteristics of snow in microwave frequency band.

Journal of the Japanese Society of Snow and Ice ◽

10.5331/seppyo.54.41 ◽

1992 ◽

Vol 54 (1) ◽

pp. 41-48

Author(s):

Tamotsu IGARASHI

Keyword(s):

Frequency Band ◽

Microwave Frequency ◽

Radiometric Characteristics

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GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b1-287-2016 ◽

2016 ◽

Vol XLI-B1 ◽

pp. 287-290

Author(s):

Ali Cam ◽

Hüseyin Topan ◽

Murat Oruç ◽

Mustafa Özendi ◽

Çağlar Bayık

Keyword(s):

Remote Sensing ◽

Urban Areas ◽

Geometric Analysis ◽

Test Site ◽

Transformation Models ◽

Affine Projection ◽

Dense Forest ◽

Physical Transformation ◽

Rgb Images ◽

Radiometric Characteristics

RASAT, the second remote sensing satellite of Turkey, was designed and assembled, and also is being operated by TÜBİTAK Uzay (Space) Technologies Research Institute (Ankara). RASAT images in various levels are available free-of-charge via Gezgin portal for Turkish citizens. In this paper, the images in panchromatic (7.5 m GSD) and RGB (15 m GSD) bands in various levels were investigated with respect to its geometric and radiometric characteristics. The first geometric analysis is the estimation of the effective GSD as less than 1 pixel for radiometrically processed level (L1R) of both panchromatic and RGB images. Secondly, 2D georeferencing accuracy is estimated by various non-physical transformation models (similarity, 2D affine, polynomial, affine projection, projective, DLT and GCP based RFM) reaching sub-pixel accuracy using minimum 39 and maximum 52 GCPs. The radiometric characteristics are also investigated for 8 bits, estimating SNR between 21.8-42.2, and noise 0.0-3.5 for panchromatic and MS images for L1R when the sea is masked to obtain the results for land areas. The analysis show that RASAT images satisfies requirements for various applications. The research is carried out in Zonguldak test site which is mountainous and partly covered by dense forest and urban areas.

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