Remote sensing data

Botkin, D. B. Running, S. W. Machine Processing of Remotely Sensed Data Symposium Purdue University West Lafayette, IN, 1984, pp. 326-332. 

B. (1995). Monitoring seasonal and interannual variations of gross primary productivity, net primary productivity and net ecosystem productivity using a diagnostic model and remotely-sensed data, Tellus, Ser. B, 47,178-190. 

Montzka C, Canty M, Rreins P, Kunkel R, Menz G, Vereecken H, Wendland F (2008) Multispectral remotely sensed data in modelling the annual variability of nitrate concentrations in the leachate. Environ Modell Softw 23(8) 1070-1081... 

Remote sensing data are generally gathered with sensors, devices Ibr detecting matter or electromagnetic radiation, which are not in material contact with the site. Sensors that reveal information relevant to archaeology are usually airborne or spaceborne. 

Stephens, R. D., Remote Sensing Data and a Potential Model of Vehicle Exhaust Emissions, J. Air Waste Manage. Assoc., 44, 1284-1292 (1994). 

Liu Y, Kahn RA, Chaloulakou A, Koutrakis P (2009) Analysis of the impact of the forest tires in August 2007 on air quality of Athens using multi-sensor aerosol remote sensing data, meteorology and surface observations. Atmos Environ 43(21) 3310-3318... 

The difference in temperature trends near the surface and in the troposphere has caused heated discussion in the scientific literature (Christy and Spencer, 2003 Waple and Lawrimore, 2003). Since the reliability of satellite remote-sensing data raises no doubts, and their spatial representativeness (on global scales) is more reliable than that of the data of surface measurements, this difference should be interpreted as necessitating further analysis of SAT and SST data adequacy. 

Satellite and airborne remote-sensing data are subject to large distortions that could substantially reduce their usefulness. There are three main distortion factors that could interfere with the collection of spectroscopic imaging data from space or airborne instruments for agricultural applications9,10 ... 

Jacobsen, A. (2000) Analysing airborne optical remote sensing data from a hyperspectral scanner and implications for environmental mapping and monitoring - results from a study of casi data and Danish semi-natural, dry grasslands. PhD Thesis. National Environmental Research Institute, Denmark, 148 pp. 

The analysis of spatio-temporal variations of phytoplankton biomass in the Black Sea was based on the remotely sensed data collected by the SeaWiFS (September 1997-May 2006) and MODIS-A (July 2002-May 2006) satellite sensors. The data were obtained from National Aeronautics and Space Administration Goddard Space Flight Center Distributed Active Archive Center (NASA GSFC DAAC) [6]. We used monthly averaged Level 3 standard mapped... 

Models to estimate new production from remotely-sensed data... 

Kudela, R. M., and Dugdale, R. C. (1996). Estimation of new production from remotely sensed data in a coastal upwelling regime. Adv. Space Res. 18, 91—97. 

Kamykowski D., Zentara S.-J., Morrison J. M., and Switzer A. C. (2002) Dynamic patterns of nitrate, phosphate, silicate, and iron availability and phytoplankton community composition from remote sensing data. Global Biogeochem. Cycles 16(4), 1077 doi 10.1029/2001GB001640. 

Indeed, Dachs et al. (2002) demonstrated, using a combination of field measurements of atmospheric PCBs, PCDDs, and PCDFs, and remote sensing data of ocean temperatirre, wind speed and chlorophyll, that deposition in mid-high latitudes is driven by sinking marine particulate matter, rather than by cold condensation. However, the relative contribution of this process is highly dependent on the physical chemical properties of the POPs under consideration. 

Temperature and plant nutrients (nitrate, phosphate, and silicate) were found to be (2-4) inversely correlated in the California Current system. Zentarra and Kamykowski (3) found latitudinal relationships along the west coast of North and South America that could conceivably supplement remote-sensing data with a climatological estimate of the median and... 

A comparison of the regional lineament interpreted from satellite remote-sensing data with the detailed composite interpretation from aerial photography shows that the azimuth of the Currant lineament is expressed only in the short photolineaments. 

Carter, J.S. and Roger, D.G., 1988. Successful applications of remotely-sensed data for oil and gas exploration. Proc. Sixth Thematic Conference on Remote Sensing for Exploration Geology, Houston, vol. 1,PP- 19-25. 

Crawford, M.F., 1986. Preliminary evaluation of remote-sensing data for detection of vegetation stress related to hydrocarbon microseepage Mist gas field, Oregon. Proc. Fifth Thematic Conference on Remote Sensing for Exploration Geology, Reno, pp. 161-177. 

White, K. Eckardt, F. (2006) Geochemical mapping of carbonate sediments in the Makgadikgadi Basin, Botswana, using moderate resolution remote sensing data. Earth Surfaces Processes and Landforms 31, 665-681. 

Aladin et al. [16] and Cretaux et al. [23, 25] attempted to improve the water balance calculation for the Large and Small Aral based on considerations on the uncertainties of each parameter of the water balance equation and new information now available from satellite remote sensing data. 

However, today the main limitations in such study lie in the fact that more and more in situ gauges have disappeared or that for political reasons very valuable data is no longer accessible. The transboundary water management issue which occurred after the collapse of the Soviet Union has enhanced this problem. One solution may be the use of remote sensing data that has aheady for many years provided very accurate data on Aral Sea level and surface variations. The future evolution of the former Aral Sea is hard to predict. It is however clear that the Small Aral, located in Kazakhstan, will certainly remain at its actual size and level, as it is fully controlled by the dam in its southern part. This dam allows the water of the Syrdarya River to compensate for evaporation, which is the main driving component of the water balance in an arid zone with very low precipitation. 

Geographical Information Systems (GIS) are instruments for management, display and statistical analysis of geographic information. They turned out to be useful for many scientific and commercial applications. The use of GIS technology for the visualisation of remote sensing data and associated... 

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