Remote sensing of hydrologic transport processes using spot simulation data. Final report, August 1, 1983-April 30, 1985

Technical Report · Mon Apr 01 04:00:00 EST 1985

OSTI ID:5660942

Gardner, T W; Petersen, G W; Connors, K F; Baumer, G M

The objective was to make a preliminary evaluation of the utility of the next generation of high resolution, digital satellite imagery to characterize surface hydrology and geomorphology in both arid and humid regions. The data set was generated in a program that simulated data from a new French satellite, SPOT, scheduled for launch in 1985. The simulated data has three multispectral (MS) bands (0.50 to 0.59..mu..m, 0.61 to 0.69..mu..m, and 0.79 to 0.89..mu..m) with 20m ground resolution and a panchromatic band (0.51 to 0.73..mu..m) with 10m ground resolution. Resolution of the SPOT system allows for landscape classification at level III and occasionally level IV across distinctly different climatic zones and in areas disturbed by different types of energy exploitation. Ten features are distinguished on the semiarid site. For the humid-temperature site six classes of disturbed land are distinguished whereas only two classes are generally distinguishable with LANDSAT-3 data. Given the SPOT feature recognition and the extensive data base on Quaternary history and rates of surficial geomorphic processes for the two study sites in the San Juan Basin of northwestern New Mexico and the Bituminous Coal Fields of west central Pennsylvania, it was possible to recognize and classify critical components of the hydrologic system as well as landscape stability. These component maps include: (1) infiltration/potential runoff rate maps; (2) groundwater recharge/discharge site maps; (3) landscape stability maps; and (4) fluvial erosion intensity maps. Eight analytic techniques, including manual interpretation of 4 types of analog imagery (color composite, Eigen image, Intensity-Hue-Saturation image, and band ratio image) and 4 types of statistical analyses of digital imagery (unsupervised and supervised Euclidean distance, nonparametric linear discriminate analysis, and edge enhancement) are evaluated. 29 figs., 19 tabs.

• Research Organization: Pennsylvania State Univ., University Park (USA). Office of Remote Sensing of Earth Resources
• DOE Contract Number: AC02-83ER60182
• OSTI ID: 5660942
• Report Number(s): DOE/ER/60182-1; ON: DE85012412
• Country of Publication: United States
• Language: English

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01 COAL, LIGNITE, AND PEAT
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& Peat-- Environmental Aspects
58 GEOSCIENCES
580100* -- Geology & Hydrology-- (-1989)
ARID LANDS
COAL MINES
DATA ANALYSIS
FEDERAL REGION III
FEDERAL REGION VI
GEOLOGY
GEOMORPHOLOGY
HYDROLOGY
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NEW MEXICO
NORTH AMERICA
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REMOTE SENSING
RESOLUTION
SATELLITES
SIMULATION
SPATIAL RESOLUTION
UNDERGROUND FACILITIES
USA