11. |
Constraints on using AVHRR composite index imagery to study patterns of vegetation cover in boreal forests |
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International Journal of Remote Sensing,
Volume 18,
Issue 11,
1997,
Page 2403-2426
E. S. Kasischke,
N. H. F. French,
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摘要:
A wide range of techniques are being developed to map vegetation cover types using multi-date imagery from the Advanced Very High Resolution Radiometer. To date, these techniques do not account for severe constraints which exist for the world's boreal forest. Using composite AVHRR imagery collected over Alaska, we demonstrate how several factors influence the time-series normalized vegetation difference index (NDVI) signatures developed for the boreal forests in this region, including the effects of: (1) clouds and atmospheric haze; (2) climate variations on plant phenology; (3) fire on forest succession; and (4) forest stand patch size with respect to system resolution. Based on the analysis of AVHRR composite data from Alaska, the results of this study show: (1) clouds and haze have distinct effects on the intra-seasonal NDVI signature; (2) there are significant interseasonal variations in NDVI signatures caused by variations in the length of the growing season as well as variations in precipitation and moisture during the growing season; (3) disturbances affect large areas in interior Alaska and forest succession after fire results in significant variations in the inter-seasonal NDVI signatures; and (4) much of the landscape in interior Alaska consists of heterogeneous patches of forest which are much smaller than the resolution cell size of the AVHRR sensor, resulting in significant sub-pixel mixing. Based on these findings, the overall conclusion of this study is scientists using AVHRR to map land cover types in boreal regions must develop approaches which account for these sources of variation.
ISSN:0143-1161
DOI:10.1080/014311697217684
出版商:Taylor & Francis Group
年代:1997
数据来源: Taylor
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12. |
The compression of a sequence of satellite images based on change detection |
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International Journal of Remote Sensing,
Volume 18,
Issue 11,
1997,
Page 2427-2436
R. K. Wong,
T. Fung,
K. S. Leung,
Y. Leung,
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ISSN:0143-1161
DOI:10.1080/014311697217693
出版商:Taylor & Francis Group
年代:1997
数据来源: Taylor
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13. |
Technical note The discrimination of scenes by principal components analysis of multi-spectral imagery |
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International Journal of Remote Sensing,
Volume 18,
Issue 11,
1997,
Page 2437-2449
J. C. Ceballos,
M. J. Bottino,
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ISSN:0143-1161
DOI:10.1080/014311697217701
出版商:Taylor & Francis Group
年代:1997
数据来源: Taylor
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14. |
Calendar of events |
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International Journal of Remote Sensing,
Volume 18,
Issue 11,
1997,
Page 2451-2453
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ISSN:0143-1161
DOI:10.1080/014311697217710
出版商:Taylor & Francis Group
年代:1997
数据来源: Taylor
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15. |
A new approach for tropical forest area monitoring using multiple spatial resolution satellite sensor imagery |
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International Journal of Remote Sensing,
Volume 18,
Issue 11,
1997,
Page 2455-2461
H. Jeanjean,
F. Achard,
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ISSN:0143-1161
DOI:10.1080/014311697217729
出版商:Taylor & Francis Group
年代:1997
数据来源: Taylor
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16. |
A Landsat TM based comparative study of surface and subsurface fires in the Jharia coalfield, India |
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International Journal of Remote Sensing,
Volume 18,
Issue 11,
1997,
Page 2463-2469
A. Prakash,
R. P. Gupta,
A. K. Saraf,
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ISSN:0143-1161
DOI:10.1080/014311697217738
出版商:Taylor & Francis Group
年代:1997
数据来源: Taylor
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17. |
On the potential for land cover mapping from multiple-view-angle (MVA) remotely-sensed images |
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International Journal of Remote Sensing,
Volume 18,
Issue 11,
1997,
Page 2471-2475
A. H. Hyman,
M. J. Barnsley,
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ISSN:0143-1161
DOI:10.1080/014311697217747
出版商:Taylor & Francis Group
年代:1997
数据来源: Taylor
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