Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B7-1)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
Species 
Improved Regression Function 
Original Regression Function 
Regression Function 
R 2 
Regression Function 
R 2 
Winter Wheat 
W/-1.155*m“-“) 
0.83 
0.623 
0.83-0.16 
0.622 
Summer Maize 
LA,=-2An*L„r°- NDV j 
0.90 
0.638 
ui. -2.314 *L»r°- NDVI ) 
0.90-0.19 
0.595 
Grass 
T „ r .0.87 - NDVI. 
LAI = -0.873 * Ln( ) 
0.87 
0.961 
lAI-l<WlM 0X ’-NBn 
0.87-0.42 
0.827 
Forest 
0.90 
0.564 
LA, =-2.69* Ln(° 90 - NDV! ) 
0.90-0.58 
- 
Table 3: Semi-empirical regression functions between NDVI (x) and LAI (y) for different crops 
14-May-06 
16-March-06 
17~Jtme~0S 
Legend 
I 0-0.15 
I 0.15-0.48 
I0.4S-0.76 
I 0.76 -0.96 
I 0.96-1.15 
1.53 
I 11.53-1.75 
I 11.75-2.03 
I 12.03-3.40 
□ 3.40-19.0 
Figure 4: “Beijing-1” LAI images of Time series
	        
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