Combining a digital relief model with Landsat 7 images for the determination of topographic terrain characteristics for purposes of radiometric correction

2002 ◽  
Vol 8 (2-3) ◽  
pp. 89-91 ◽  
Author(s):  
A.I. Sakhatsky ◽  
◽  
O.N. Sibirtseva ◽  
Z.M. Shportiuk ◽  
◽  
...  
Keyword(s):  
Radiometric Correction ◽  
Landsat 7 ◽  
Terrain Characteristics

scholarly journals Determination of Hydrothermal Prospects in Paipa Geothermal Region (Boyacá, Colombia) Using Remote Sensing and Field Data

2019 ◽  
Vol 23 (4) ◽  
pp. 265-282
Author(s):  
Rafael Andrés Calderón-Chaparro ◽  
German Vargas-Cuervo
Keyword(s):  
Remote Sensing ◽  
Soil Temperature ◽  
Field Data ◽  
Hot Springs ◽  
Landsat 8 ◽  
Geothermal Resources ◽  
Temperature Index ◽  
Landsat 7 ◽  
Geothermal Region

Geothermal resources (e.g. hot springs) are found with the help of field techniques, such as geological, geochemistry and geophysical. These techniques in some occasions are difficult to apply because of the limit access to the research area, rising operational costs and constrained spatially the exploration areas. The thermal infrared (TIR) remote sensing is an important tool for the exploration of geothermal resources, due to the low cost and high efficiency in the study of large geographic areas. The aim of this study is to use thermal imagery of satellite remote sensing and combined with geological-geophysical data, for spatial determination of exploratory prospects of hot springs in the geothermal region of Paipa, Boyacá. The images used in this study are from satellites Landsat-7 ETM+, Landsat-8 OLI/TIRS, MODIS, ALOS-PALSAR and Pléiades. Also, field data is used, such as soil temperature, surface temperature, air temperature, relative humidity, atmospheric pressure and thermal imagery of surface geothermal manifestations. The Landsat thermal bands were radiometrically calibrated, then atmospherically and surface emissivity corrected, applying single channel and split window algorithms, for Landsat-7 ETM+ and Landsat-8 TIRS, respectively. The field data helped to correct the thermal bands. And the soil temperature data are used to create a subsurface temperature map at 1-meter depth. Once primary and secondary data is had, in a geographic information system (GIS) is implemented an unweighted spatial model, which use four input indicators (satellite temperature index, soil temperature index, structural lineaments index and iso-resistivity index) to determine the areas with higher probability to find geothermal fluids. Six prospects are highlighted for hydrothermal fluid extraction, in which two of them are already known. Results allow to concluded that thermal remote sensing are useful to map geothermal anomalies in the Paipa region, and by using these anomalies plus geological-geophysical information is possible to determine exact exploration areas.

Assessment of the Effect of Acidic Deposition on Canadian Lakes: Determination of Critical Loads for Sulphate Deposition

1993 ◽  
Vol 28 (3-5) ◽  
pp. 183-187 ◽  
Author(s):  
D. S. Jeffries ◽  
D. C. L. Lam
Keyword(s):  
Critical Load ◽  
Critical Loads ◽  
Acidic Deposition ◽  
Operational Definition ◽  
Eastern Canada ◽  
Wide Range ◽  
Sulphate Deposition ◽  
Definition Of ◽  
Terrain Characteristics

The operational definition of the “critical” load for wet SO4 deposition is that which does not increase the regional percent of lakes having pH≤6 for the portion of the population that historically had pH>6. Reviews of the effects of acidic deposition on aquatic biota show that the pH=6 threshold used to determine the critical load is sufficient to protect most organisms. It is inappropriate to specify a single critical load for the whole of eastern Canada due to variability in terrain sensitivity. The Atlantic provinces and easterr Quebec generally have very low critical loads (<8 kg. ha−1.yr−1). The terrain characteristics of this area dictate a critical load very close to background deposition. Lakes in southwestern Quebec and Ontario have critical loads of <8 to >20 kg.ha−1.yr−1 reflecting the wide range in terrain sensitivities that exist in each province.

Determination of CeriumPhotometric Method with Radiometric Correction

1950 ◽  
Vol 22 (7) ◽  
pp. 932-936 ◽  
Author(s):  
Arthur J. Freedman ◽  
David N. Hume
Keyword(s):  
Radiometric Correction

scholarly journals Precise Antenna Pointing Determination in Elevation for Spaceborne SAR Systems Using Coherent Pattern Differences

2019 ◽  
Vol 11 (3) ◽  
pp. 320 ◽  
Author(s):  
Jens Reimann ◽  
Marco Schwerdt ◽  
Kersten Schmidt ◽  
Patrick Klenk ◽  
Ulrich Steinbrecher ◽  
...  
Keyword(s):  
Life Time ◽  
Precise Determination ◽  
Amazon Rainforest ◽  
Target Area ◽  
Radiometric Correction ◽  
Phased Array Antennas ◽  
Rigid Connection ◽  
The Common ◽  
Radar Antenna

The precise determination of the SAR (synthetic aperture radar) antenna pointing is an essential task initially performed during the commissioning phase of a spaceborne SAR system and is permanently monitored during the whole mission life-time. Besides a correct illumination of the scene during data acquisition, antenna pointing is required for proper compensation of the radiation pattern for radiometric correction during SAR data processing. The Amazon rainforest is a well-established target area for antenna pointing estimation in elevation as proven by many past and current SAR missions. Several new SAR systems are now proposed which are using long wavelengths, i.e., L- and P-bands, which will be implemented using reflector-based antenna systems. These reflectors have, in contrast to planar phased array antennas, no completely rigid connection to the satellite body and, hence, a more volatile antenna pointing. Due to the huge dimensions of such reflector antennas required for the envisaged long wavelengths and the finite stiffness of the boom, the antenna pointing may change significantly along the orbit. Such variation cannot be tracked using the common Amazon rainforest approach only, as this measurement opportunity exists only at two positions along the orbit (ascending and descending). Here, the performance of an alternative technique is presented which mitigates the influence of the underlying SAR scene by employing two coherent SAR datasets acquired simultaneously with different antenna patterns. This allows the use of amplitude and phase information for pointing estimation. No assumption upon the homogeneity of the underlying scene is required and, hence, pointing estimation becomes feasible at nearly any point along the orbit. This paper outlines the technique, describes simulation results and presents outcomes from first experimental acquisitions performed with the TerraSAR-X satellite.

Determination of regional land surface heat fluxes over a heterogeneous landscape of the Jiddah area of Saudi Arabia by using Landsat-7 ETM data

2007 ◽  
Vol 21 (14) ◽  
pp. 1892-1900 ◽  
Author(s):  
Yaoming Ma ◽  
Hui Tian ◽  
Hirohiko Ishikawa ◽  
Ryohji Ohba ◽  
Hiromasa Ueda ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Land Surface ◽  
Surface Heat ◽  
Heat Fluxes ◽  
Surface Heat Fluxes ◽  
Heterogeneous Landscape ◽  
Landsat 7 ◽  
Regional Land ◽  
Land Surface Heat Fluxes

scholarly journals Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy

2017 ◽  
Vol 9 (12) ◽  
pp. 1319 ◽  
Author(s):  
Joan-Cristian Padró ◽  
Xavier Pons ◽  
David Aragonés ◽  
Ricardo Díaz-Delgado ◽  
Diego García ◽  
...  
Keyword(s):  
Time Series ◽  
Landsat 8 ◽  
Radiometric Correction ◽  
Landsat 7 ◽  
Sentinel 2A

scholarly journals AN ITERATIVE PIXEL-LEVEL IMAGE MATCHING METHOD FOR MARS MAPPING USING APPROXIMATE ORTHOPHOTOS

2017 ◽  
Vol XLII-3/W1 ◽  
pp. 41-48
Author(s):  
X. Geng ◽  
Q. Xu ◽  
C. Z. Lan ◽  
S. Xing
Keyword(s):  
High Resolution ◽  
Image Matching ◽  
Reference Data ◽  
Conjugate Points ◽  
Martian Surface ◽  
Matching Method ◽  
Iterative Processing ◽  
Ground Point ◽  
Terrain Characteristics

Mars mapping is essential to the scientific research of the red planet. The special terrain characteristics of Martian surface can be used to develop the targeted image matching method. In this paper, in order to generate high resolution Mars DEM, a pixel-level image matching method for Mars orbital pushbroom images is proposed. The main strategies of our method include: (1) image matching on approximate orthophotos; (2) estimating approximate value of conjugate points by using ground point coordinates of orthophotos; (3) hierarchical image matching; (4) generating DEM and approximate orthophotos at each pyramid level; (5) fast transformation from ground points to image points for pushbroom images. The derived DEM at each pyramid level is used as reference data for the generation of approximate orthophotos at the next pyramid level. With iterative processing, the generated DEM becomes more and more accurate and a very small search window is precise enough for the determination of conjugate points. The images acquired by High Resolution Stereo Camera (HRSC) on European Mars Express were used to verify our method’s feasibility. Experiment results demonstrate that accurate DEM data can be derived with an acceptable time cost by pixel-level image matching.

scholarly journals Analisys Multitemporal Changing Mangrove's Area at Belitung Regency Bangka Belitung Island Province, Indonesia

2017 ◽  
Vol 1 (1) ◽  
pp. 57
Author(s):  
Beni Aulia
Keyword(s):  
Remote Sensing ◽  
Mangrove Forest ◽  
Forest Area ◽  
Landsat 8 ◽  
Radiometric Correction ◽  
Composite Image ◽  
Landsat 7 ◽  
Land Changes

The purpose of this research is to know the change of mangrove land at Belitung district by using remote sensing for mangrove land changes in 2001 and 2016 (multitemporal). Radiometric correction on this research aims to improve the quality of the image and at the same time improve the pixel values that do not correspond to the actual spectral values, dgunakn image is Landsat 7 Landsat 8 2001 and 2016. The composite image is used on the research of composite RGB bands 4, 5, and 3 for Landsat 7 as for Landsat 8 used composite RGB 5, 6 and 4. This research uses software ENVI 4.5 and Arcgis 10.1. The result of the interpretation of the map changes in the region. Mangrove forest area in 2001 was 10,032.75 Ha and 9,779.4 Ha found 2016. So, the shrinkage of mangrove land that is the lowliest coastal Belitung district is 253.35 ha.

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