TY - GEN
T1 - Remote sensing and Markov model analysis on forest change in hun watershed
AU - Wang, Dianzhong
AU - Hao, Zhanqing
AU - Han, Wenquan
AU - Guoqing, Sun
PY - 2006
Y1 - 2006
N2 - In this paper, remote sensing analysis was integrated with stochastic theory to evaluate the magnitude, the pattern, and the mode of forest changes in a forested watershed. We visually interpreted three scenes of Landsat TM Images obtained In 1986, 1992, and 2001 into nine categories of forest landscape maps. We thus combined Markov models and remote sensing and studied the changes of two time spans, 1986-1992 and 1992-2001. We found that broadleaved forest and larch plantation were the largest two categories. Each dominated the forest change of one span. And we found the change modes were different despite of the similar increase rate of total forest. This study demonstrated that remote sensing analysis with Markov modeling could effectively monitor and analyze the characteristics of forest change even in the presence of different anthropogenic influences.
AB - In this paper, remote sensing analysis was integrated with stochastic theory to evaluate the magnitude, the pattern, and the mode of forest changes in a forested watershed. We visually interpreted three scenes of Landsat TM Images obtained In 1986, 1992, and 2001 into nine categories of forest landscape maps. We thus combined Markov models and remote sensing and studied the changes of two time spans, 1986-1992 and 1992-2001. We found that broadleaved forest and larch plantation were the largest two categories. Each dominated the forest change of one span. And we found the change modes were different despite of the similar increase rate of total forest. This study demonstrated that remote sensing analysis with Markov modeling could effectively monitor and analyze the characteristics of forest change even in the presence of different anthropogenic influences.
KW - Markov model
KW - Remote sensing analysis
KW - Transition probability
UR - http://www.scopus.com/inward/record.url?scp=34948890611&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2006.793
DO - 10.1109/IGARSS.2006.793
M3 - 会议稿件
AN - SCOPUS:34948890611
SN - 0780395107
SN - 9780780395107
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3090
EP - 3092
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Y2 - 31 July 2006 through 4 August 2006
ER -