DETECTING BEETLE INFESTATIONS IN PINE FORESTS USING MODIS NDVI TIME-SERIES DATA

被引：8
作者：
Anees, Asim [1 ]
Olivier, J. C. [1 ]
O'Rielly, Malgorzata [2 ]
Aryal, Jagannath [3 ]
机构：
[1] Univ Tasmania, Sch Engn, Hobart, Tas 7005, Australia
[2] Univ Tasmania, Math & Phys, Hobart, Tas 7001, Australia
[3] Univ Tasmania, Geography & Environm Sci, Hobart, Tas 7001, Australia
来源：
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年
关键词：
MODIS; NDVI; Extended Kalman Filter; Nonlinear Least Squares; Time-series; Change Detection; DEFOLIATION; DAMAGE; MORTALITY;
D O I：
10.1109/IGARSS.2013.6723540
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper considers the detection of beetle infestations in North American pine forests using high temporal resolution, coarse spatial resolution MODIS remotely sensed satellite images. Two methods are proposed to detect beetle infestation, both applying a triply modulated cosine model. The first method uses an Extended Kalman Filter (EKF) for estimating model parameters, and the second a Least Squares estimator. When beetles infest a forest, the changes in the affect large geographical area. Therefore, the change detection metrics are based on the time series of each pixel, and do not utilize information from neighboring pixels. Using data from the Rocky Mountain region of the United States and of British Columbia in Canada, we show that our methods are highly effective at detecting beetle infestations.
引用
收藏
页码：3329 / 3332
页数：4
相关论文
共 28 条
[11]  
Kalman R.E., 1960, NEW APPROACH LINEAR, DOI [DOI 10.1115/1.3662552, 10.1115/1.3662552]
[12]   Detecting Land Cover Change Using an Extended Kalman Filter on MODIS NDVI Time-Series Data [J].
Kleynhans, W. ;
Olivier, J. C. ;
Wessels, K. J. ;
Salmon, B. P. ;
van den Bergh, F. ;
Steenkamp, K. .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (03) :507-511
[13]   Improving Land Cover Class Separation Using an Extended Kalman Filter on MODIS NDVI Time-Series Data [J].
Kleynhans, Waldo ;
Olivier, Jan Corne ;
Wessels, Konrad J. ;
van den Bergh, Frans ;
Salmon, Brian P. ;
Steenkamp, Karen C. .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2010, 7 (02) :381-385
[14]   CHANGE-VECTOR ANALYSIS IN MULTITEMPORAL SPACE - A TOOL TO DETECT AND CATEGORIZE LAND-COVER CHANGE PROCESSES USING HIGH TEMPORAL-RESOLUTION SATELLITE DATA [J].
LAMBIN, EF ;
STRAHLER, AH .
REMOTE SENSING OF ENVIRONMENT, 1994, 48 (02) :231-244
[15]   Land-cover change detection using multi-temporal MODIS NDVI data [J].
Lunetta, Ross S. ;
Knight, Joseph F. ;
Ediriwickrema, Jayantha ;
Lyon, John G. ;
Worthy, L. Dorsey .
REMOTE SENSING OF ENVIRONMENT, 2006, 105 (02) :142-154
[16]   AN ALGORITHM FOR LEAST-SQUARES ESTIMATION OF NONLINEAR PARAMETERS [J].
MARQUARDT, DW .
JOURNAL OF THE SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS, 1963, 11 (02) :431-441
[17]   Spectral retrogression and insect damage in lodgepole pine successional forests [J].
Price, KP ;
Jakubauskas, ME .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (08) :1627-1632
[18]   The use of a Multilayer Perceptron for detecting new human settlements from a time series of MODIS images [J].
Salmon, B. P. ;
Olivier, J. C. ;
Kleynhans, W. ;
Wessels, K. J. ;
van den Bergh, F. ;
Steenkamp, K. C. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2011, 13 (06) :873-883
[19]   Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage [J].
Skakun, RS ;
Wulder, MA ;
Franklin, SE .
REMOTE SENSING OF ENVIRONMENT, 2003, 86 (04) :433-443
[20]   Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaks [J].
Spruce, Joseph P. ;
Sader, Steven ;
Ryan, Robert E. ;
Smoot, James ;
Kuper, Philip ;
Ross, Kenton ;
Prados, Donald ;
Russell, Jeffrey ;
Gasser, Gerald ;
McKellip, Rodney ;
Hargrove, William .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (02) :427-437
123