Abstract
Fire is a major disturbance in high mountain ecosystems of the tropics. On January 6, 1993, the largest forest fire occurred in the Tataka area since the Yushan National Park (YSNP) was established (1985), affecting 280 hectares of forest. The vegetation conditions in YSNP were examined using normalized difference vegetation index (NDVI) derived from SPOT images to estimate the vegetation damage and recovery associated with the fire event. NDVI variations from 1990 to 2006 were calculated. Spatial patterns on each image were compared to thosebefore the fire disturbance to determine the recovery pattern. The results indicated that the vegetation recovered rapidly in the first 6 years following the fire. Nonetheless, the recovery rates are different among different vegetation cover types. The coniferous forest recovered more rapidly than the mixed forest. The vegetation cover has not attained the level before the fire 14 years after the fire.
Original language | English |
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Title of host publication | 30th Asian Conference on Remote Sensing 2009, ACRS 2009 |
Pages | 1632-1637 |
Number of pages | 6 |
Volume | 3 |
Publication status | Published - 2009 Dec 1 |
Event | 30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China Duration: 2009 Oct 18 → 2009 Oct 23 |
Other
Other | 30th Asian Conference on Remote Sensing 2009, ACRS 2009 |
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Country | China |
City | Beijing |
Period | 09-10-18 → 09-10-23 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
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Using NDVI to analyze fire disturbance and forest recovery in the Yushan National Park of Central Taiwan. / Lee, Meng Fen; Lin, Teng Chiu; Wang, Su Fen.
30th Asian Conference on Remote Sensing 2009, ACRS 2009. Vol. 3 2009. p. 1632-1637.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Using NDVI to analyze fire disturbance and forest recovery in the Yushan National Park of Central Taiwan
AU - Lee, Meng Fen
AU - Lin, Teng Chiu
AU - Wang, Su Fen
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Fire is a major disturbance in high mountain ecosystems of the tropics. On January 6, 1993, the largest forest fire occurred in the Tataka area since the Yushan National Park (YSNP) was established (1985), affecting 280 hectares of forest. The vegetation conditions in YSNP were examined using normalized difference vegetation index (NDVI) derived from SPOT images to estimate the vegetation damage and recovery associated with the fire event. NDVI variations from 1990 to 2006 were calculated. Spatial patterns on each image were compared to thosebefore the fire disturbance to determine the recovery pattern. The results indicated that the vegetation recovered rapidly in the first 6 years following the fire. Nonetheless, the recovery rates are different among different vegetation cover types. The coniferous forest recovered more rapidly than the mixed forest. The vegetation cover has not attained the level before the fire 14 years after the fire.
AB - Fire is a major disturbance in high mountain ecosystems of the tropics. On January 6, 1993, the largest forest fire occurred in the Tataka area since the Yushan National Park (YSNP) was established (1985), affecting 280 hectares of forest. The vegetation conditions in YSNP were examined using normalized difference vegetation index (NDVI) derived from SPOT images to estimate the vegetation damage and recovery associated with the fire event. NDVI variations from 1990 to 2006 were calculated. Spatial patterns on each image were compared to thosebefore the fire disturbance to determine the recovery pattern. The results indicated that the vegetation recovered rapidly in the first 6 years following the fire. Nonetheless, the recovery rates are different among different vegetation cover types. The coniferous forest recovered more rapidly than the mixed forest. The vegetation cover has not attained the level before the fire 14 years after the fire.
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M3 - Conference contribution
AN - SCOPUS:84866142229
SN - 9781615679843
VL - 3
SP - 1632
EP - 1637
BT - 30th Asian Conference on Remote Sensing 2009, ACRS 2009
ER -