Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 7 Human settlements: Urban surveys, human settlement analysis and archaeology. Chairman: W. G. Collins, Co-chairman: B. C. Forster, Liaison: P. Hofstee

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Spatial resolution requirements for urban land cover mapping from space. William J. Todd, Robert C. Wrigley

Document type:: Multivolume work

Structure type:: Chapter

881 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Spatial resolution requirements for urban land cover mapping from space William J.Todd Lockheed Missiles & Space Company, Sunnyvale, Calif., USA Robert C.Wrigley Ames Research Center, National Aeronautics & Space Administration (NASA), Moffett Field, Calif, USA ABSTRACT: Very low resolution (VLR) satellite data (Advanced Very High Resolution Radiometer, DMSP Operational Linescan System), low resolution (LR) data (Landsat MSS), medium resolution (MR) data (Landsat TM), and high resolution (HR) satellite data (Spot HRV, Large Format Camera) were evaluated and compared for interpretability at differing spatial resolutions. VLR data (500 m - 1.0 km) is useful for Level 1 (urban/rural distinction) mapping at 1:1,000,000 scale. Feature tone/color is utilized to distingish generalized urban land cover using LR data (80 m) for 1:250,000 scale mapping. Advancing to MR data (30 m) and 1:100,000 scale mapping, confidence in land cover mapping is greatly increased, owing to the element of texture/pattern which is now evident in the imagery. Shape and shadow contribute to detailed Level I I/I 11 urban land use mapping possible if the interpreter can use HR (10-15 m) satellite data; mapping scales can be 1:25,000 - 1:50,000. 1 INTRODUCTION The payloads of earth resources satellites offer great potential for urban mapping, but data is now available in a wide range of spatial resolutions — ranging from 10 m to 1.1 km -- and may or may not be suitable for a particular application. Our objective was to examine data from a wide range of resolutions to evaluate interpretability of urban land cover and derive a set of spatial resolution requirements for urban land cover mapping. 2 ANALYSIS OF DATA COLLECTED FROM SPACE OVER URBAN AREAS The example data which we compared is shown graphically in Figure 1. Very low resolution data was collected by the Advanced Very High Resolution Radiometer (AVHRR) with 1.1 km resolution carried on NOAA's TIROS satellite, Coastal Zone Color Scanner (CZCS) with 800 m resolution on NASA's Nimbus-7, Operational Linescan System (0LS) with 600 m resolution on the Defense Meteorological Satellite Program's (DMSP) Block 5D, and the Heat Capacity Figure 1. Spatial resolution and electromagnetic spectrum characteristics of selected satellite sensors useful for mapping urban areas. Mapping Radiometer (HCMR) with 500 m resolution, part of NASA's Heat Capacity Mapping Mission. While Nimbus-7‘s Scanning Multichannel Microwave Radiometer (SMMR) has spatial resolution measured in tens of kilometers and did not deserve discussion in this paper, it is included on the chart as an example of a passive microwave sensor. Low resolution data is represented by the 80 m resolution Multispectral Scanner (MSS), which has been carried on all five of NASA's Landsat satellites. Medium resolution data includes the Landsat-3 Return Beam Vidicon (RBV) 40 m resolution imagery, and Landsat-4 and -5 Thematic Mapper 30 m resolution multispectral data. Figure 2. Digitally enhanced AVHRR thermal infrared image (Band 4, 10,300-11,300 nm) of central and southern California collected on August 17, 1984. The San Francisco-Oakland-San Jose metropolitan area is in the upper part of the 1.1 km resolution image, and Los Angeles the lower section.

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