Spatial and temporal scaling of thermal infrared remote sensing data
- 1 January 1995
- journal article
- research article
- Published by Taylor & Francis in Remote Sensing Reviews
- Vol. 12 (3-4) , 255-286
- https://doi.org/10.1080/02757259509532287
Abstract
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.Keywords
This publication has 50 references indexed in Scilit:
- The Need for a Lexicon of Scale Terms in Integrating Remote Sensing Data with Geographic Information SystemsJournal of Geography, 1993
- Canopy thermal infrared observationsRemote Sensing Reviews, 1990
- Evaluation of a Surface/Vegetation Parameterization Using Satellite Measurements of Surface TemperatureJournal of Climate and Applied Meteorology, 1986
- Satellite remote sensing of atmospheric water vapourInternational Journal of Remote Sensing, 1986
- The applicability of LOWTRAN 5 computer code to aerial thermographic data correctionInternational Journal of Remote Sensing, 1986
- Monotemporal, multitemporal, and multidate thermal infrared data acquisition from satellites for soil and surface-material surveyInternational Journal of Remote Sensing, 1986
- Regional‐scale estimates of surface moisture availability and thermal inertia using remote thermal measurementsRemote Sensing Reviews, 1986
- Evapotranspiration calculated from remote multispectral and ground station meteorological dataRemote Sensing of Environment, 1985
- Survey of emissivity variability in thermography of urban areasRemote Sensing of Environment, 1982
- Aerial Thermal Scanner to Determine Temperatures of Soils and of Crop Canopies Differing in Water Stress1Agronomy Journal, 1972