TY - GEN
T1 - Monitoring the spatial distribution of high-resolution leaf area index using observations from DMC+4
AU - Jin, Huiran
AU - Tao, Xin
AU - Fan, Wenjie
AU - Xu, Xiru
AU - Li, Peijun
PY - 2007
Y1 - 2007
N2 - Monitoring the sowing area and the crops growth are the two basic aspects of agricultural remote sensing. With the advantage of DMC+4 simultaneously providing mid-resolution multispectral image and high-resolution panchromatic image, we choose winter wheat as investigated object, establish a vegetation canopy radiation model on the consider of sun-target-sensor geometry and clumping effect to monitor the spatial distribution of the growth condition of winter wheat, and then validate the model through mathematical simulation and field experiment. The work indicates that the model and retrieval method used are available. The spatial scaling effect of LAI is to be further studied.
AB - Monitoring the sowing area and the crops growth are the two basic aspects of agricultural remote sensing. With the advantage of DMC+4 simultaneously providing mid-resolution multispectral image and high-resolution panchromatic image, we choose winter wheat as investigated object, establish a vegetation canopy radiation model on the consider of sun-target-sensor geometry and clumping effect to monitor the spatial distribution of the growth condition of winter wheat, and then validate the model through mathematical simulation and field experiment. The work indicates that the model and retrieval method used are available. The spatial scaling effect of LAI is to be further studied.
KW - DMC+4
KW - LAI spatial distribution
KW - Vegetation canopy radiation model
UR - http://www.scopus.com/inward/record.url?scp=70449454629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449454629&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2007.4423642
DO - 10.1109/IGARSS.2007.4423642
M3 - Conference contribution
AN - SCOPUS:70449454629
SN - 1424412129
SN - 9781424412129
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3681
EP - 3684
BT - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
T2 - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Y2 - 23 June 2007 through 28 June 2007
ER -