Spatial and temporal scaling of thermal infrared remote sensing data

Although remote sensing has a central role to play in the acquisition of synoptic data obtained at multiple spatial and temporal scales to facilitate our understanding of local and regional processes as they influence the global climate, the use of thermal infrared (TIR) remote sensing data in this capacity has received only minimal attention. This results from some fundamental challenges that are associated with employing TIR data collected at different space and time scales, either with the same or different sensing systems, and also from other problems that arise in applying a multiple scaled approach to the measurement of surface temperatures. In this paper, we describe some of the more important problems associated with using TIR remote sensing data obtained at different spatial and temporal scales, examine why these problems appear as impediments to using multiple scaled TIR data, and provide some suggestions for future research activities that may address these problems. We elucidate the fundamental concept of scale as it relates to remote sensing and explore how space and time relationships affect TIR data from a problem-dependency perspective. We also describe how linearity and non-linearity observation versus parameter relationships affect the quantitative analysis of TIR data. Some insight is given on how the atmosphere between target and sensor influences the accurate measurement of surface temperatures and how these effects will be compounded in analyzing multiple scaled TIR data. Last, we describe some of the challenges in modeling TIR data obtained at different space and time scales and discuss how multiple scaled TIR data can be used to provide new and important information for measuring and modeling land-atmosphere energy balance processes.

[1]  S. Sader.  Analysis of effective radiant temperatures in a Pacific Northwest forest using thermal infrared multispectral scanner data , 1986 .

[2]  J. Luvall,et al.  Estimation of tropical forest canopy temperatures, thermal response numbers, and evapotranspiration using an aircraft-based thermal sensor , 1990 .

[3]  J. L. Barker,et al.  Landsat MSS and TM post-calibration dynamic ranges , 1986 .

[4]  T. L. Williams,et al.  Applications of Thermal Imaging , 1988 .

[5]  C. J. Robinove,et al.  Assumptions implicit in remote sensing data acquisition and analysis , 1990 .

[6]  Alan H. Strahler,et al.  On the nature of models in remote sensing , 1986 .

[7]  A. C. Lee.  A study of the continuum absorption within the 8–13 μm atmospheric window , 1973 .

[8]  N. Short,et al.  The Heat Capacity Mapping Mission (HCMM) anthology , 1982 .

[9]  José A. Sobrino,et al.  On the atmospheric dependence of the split-window equation for land surface temperature , 1994 .

[10]  F. X. Kneizys,et al.  Atmospheric Transmittance/Radiance: Computer Code LOWTRAN 6. Supplement: Program Listings , 1983 .

[11]  S. Running,et al.  Developing Satellite-derived Estimates of Surface Moisture Status , 1993 .

[12]  Jerry L. Hatfield,et al.  Evaluation of canopy temperature—evapotranspiration models over various crops , 1984 .

[13]  Pamela A. Matson,et al.  13 – Prospects for Scaling , 1993 .

[14]  J. Luvall,et al.  Measurements of short-term thermal responses of coniferous forest canopies using thermal scanner data , 1989 .

[15]  Canopy thermal infrared observations , 1990 .

[16]  E. Kowalczyk,et al.  The Surface Energy Balance at Local and Regional Scales-A Comparison of General Circulation Model Results with Observations , 1993 .

[17]  C. L. Wiegand,et al.  Aerial Thermal Scanner to Determine Temperatures of Soils and of Crop Canopies Differing in Water Stress1 , 1972 .

[18]  G. Dalu.  Satellite remote sensing of atmospheric water vapour , 1986 .

[19]  J. M. Anderson,et al.  The applicability of LOWTRAN 5 computer code to aerial thermographic data correction , 1986 .

[20]  C. Field,et al.  Scaling physiological processes: leaf to globe. , 1995 .

[21]  A. B. Kahle,et al.  Calculation of thermal inertia from day-night measurements separated by days or weeks , 1985 .

[22]  Yoram J. Kaufman,et al.  Solution of the equation of radiative transfer for remote sensing over nonuniform surface reflectivity , 1982 .

[23]  J. Luvall,et al.  Modeling surface temperature distributions in forest landscapes , 1989 .

[24]  D. Artis,et al.  Survey of emissivity variability in thermography of urban areas , 1982 .

[25]  S. Goetz,et al.  Satellite remote sensing of surface energy balance : success, failures, and unresolved issues in FIFE , 1992 .

[26]  J. C. Price,et al.  Remote sensing in the thermal infrared , 1986 .

[27]  D. Lynn.  Monotemporal, multitemporal, and multidate thermal infrared data acquisition from satellites for soil and surface-material survey , 1986 .

[28]  Determination of water surface temperature based on the use of Thermal Infrared Multispectral Scanner data , 1992 .

[29]  S. Gerstl,et al.  Radiation physics and modelling for off-nadir satellite sensing of non-Lambertian surfaces , 1986 .

[30]  Ray D. Jackson,et al.  Evapotranspiration calculated from remote multispectral and ground station meteorological data , 1985 .

[31]  J. M. Anderson,et al.  Review Article.The physical basis of current infrared remote-sensing techniques and the interpretation of data from aerial surveys , 1984 .

[32]  David Harvey.  Explanation in Geography , 1969 .

[33]  Thomas F. Eck,et al.  AVHRR split window temperature differences and total precipitable water over land surfaces , 1994 .

[34]  J. C. Price.  On the analysis of thermal infrared imagery: The limited utility of apparent thermal inertia , 1985 .

[35]  B. L. Blad,et al.  Estimation of sensible heat flux from remotely sensed canopy temperatures , 1992 .

[36]  D. Quattrochi,et al.  Measurement and analysis of thermal energy responses from discrete urban surfaces using remote sensing data , 1994 .

[37]  J. C. Price,et al.  Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer , 1984 .

[38]  F. X. Kneizys,et al.  Atmospheric transmittance/radiance: Computer code LOWTRAN 5 , 1978 .

[39]  Piers J. Sellers,et al.  The first International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment - FIFE , 1992 .

[40]  A. Kahle.  Surface emittance, temperature, and thermal inertia derived from Thermal Infrared Multispectral Scanner (TIMS) data for Death Valley, California , 1987 .

[41]  Philip N. Slater,et al.  Mapping surface energy balance components by combining landsat thematic mapper and ground-based meteorological data , 1989 .

[42]  S. Hummer-Miller.  Techniques for noise removal and registration of TIMS data , 1990 .

[43]  D. Vidal-Madjar,et al.  Evaluation of a Surface/Vegetation Parameterization Using Satellite Measurements of Surface Temperature , 1986 .

[44]  C. B. Tanner,et al.  Infrared Thermometry of Vegetation1 , 1966 .

[45]  Thomas J. Schmugge,et al.  Imation of land surface emissivity differences in the split-window channels of AVHRR , 1994 .

[46]  P. Sellers,et al.  SEISMIC EVIDENCE FOR A LOW-VELOCITY LUNAR CORE , 1992 .

[47]  J. R. Schott,et al.  Image processing of thermal infrared images , 1989 .

[48]  M. Susan Moran,et al.  Thermal remote sensing , 1995 .

[49]  Y. Kaufman.  Atmospheric effect on spatial resolution of surface imagery. , 1984, Applied Optics.

[50]  J. Smith,et al.  Interpretation of Infrared Nighttime Imagery of a Forested Canopy. , 1982 .

[51]  N. Lam,et al.  Environmental analysis using integrated GIS and remotely sensed data - Some research needs and priorities , 1991 .

[52]  J. P. Kerr,et al.  Effect of Viewing Angle on Canopy Temperature Measurements with Infrared Thermometers1 , 1967 .

[53]  Z. Li,et al.  Towards a local split window method over land surfaces , 1990 .

[54]  R. D. Jackson,et al.  View angle effects in the radiometric measurement of plant canopy temperatures , 1980 .

[55]  T. Carlson.  Regional‐scale estimates of surface moisture availability and thermal inertia using remote thermal measurements , 1986 .

[56]  Dale A. Quattrochi,et al.  The Need for a Lexicon of Scale Terms in Integrating Remote Sensing Data with Geographic Information Systems , 1993 .

[57]  Robert N. Colwell,et al.  Manual of remote sensing , 1983 .

[58]  S. Hook,et al.  Techniques For The Extraction Of Emissivity Variations From Multispectral Thermal Infrared Data , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

[59]  Steven W. Running,et al.  Computer Simulation of Regional Evapotranspiration by Integrating Landscape Biophysical Attributes with Satellite Data , 1991 .

[60]  L. Balick,et al.  Appearance of irregular tree canopies in nighttime high-resolution thermal infrared imagery , 1980 .

[61]  Forrest G. Hall,et al.  FIFE in 1992: Results, scientific gains, and future research directions , 1992 .

[62]  Anne B. Kahle,et al.  Sensitivity of thermal inertia calculations to variations in environmental factors. [in mapping of Earth's surface by remote sensing] , 1984 .