scholarly journals Topographic Correction Effect on Sugi (Cryptomeria japonica D.Don) Stand Volume Estimation using Multi Temporal Landsat TM and ASTER Satellite Images in Mountainous Tsugawa Region, Niigata Prefecture

2006 ◽  
Vol 12 (2) ◽  
pp. 49-58
Author(s):  
Riva Rovani ◽  
Nobuyuki Abe
Keyword(s):  
Cryptomeria Japonica ◽  
Satellite Images ◽  
Volume Estimation ◽  
Landsat Tm ◽  
Topographic Correction ◽  
Stand Volume ◽  
Correction Effect ◽  
Niigata Prefecture ◽  
Multi Temporal

Predicting winter wheat condition, grain yield and protein content using multi‐temporal EnviSat‐ASAR and Landsat TM satellite images

2006 ◽  
Vol 27 (4) ◽  
pp. 737-753 ◽  
Author(s):  
Liangyun Liu ◽  
Jihua Wang ◽  
Yansong Bao ◽  
Wenjiang Huang ◽  
Zhihong Ma ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Protein Content ◽  
Satellite Images ◽  
Landsat Tm ◽  
Envisat Asar ◽  
Multi Temporal

Variance reduction in Ueno's method and cylinder sampling for forest volume estimation

1995 ◽  
Vol 25 (11) ◽  
pp. 1783-1794 ◽  
Author(s):  
Thomas B. Lynch
Keyword(s):  
Computer Simulation ◽  
Variance Reduction ◽  
Volume Estimation ◽  
Critical Height ◽  
Volume Estimate ◽  
Individual Tree ◽  
Stand Volume ◽  
Reduction Techniques ◽  
Antithetic Variates ◽  
Volume Equation

Three basic techniques are proposed for reducing the variance of the stand volume estimate provided by cylinder sampling and Ueno's method. Ueno's method is based on critical height sampling but does not require measurement of critical heights. Instead, a count of trees whose critical heights are less than randomly generated heights is used to estimate stand volume. Cylinder sampling selects sample trees for which randomly generated heights fall within cylinders formed by tree heights and point sampling plot sizes. The methods proposed here for variance reduction in cylinder sampling and Ueno's method are antithetic variates, importance sampling, and control variates. Cylinder sampling without variance reduction was the most efficient of 12 methods compared in computer simulation that used estimated measurement times. However, cylinder sampling requires knowledge of a combined variable individual tree volume equation. Of the three variance reduction techniques applied to Ueno's method, antithetic variates performed best in computer simulation.

scholarly journals Multi-temporal Satellite Images Change Detection Algorithm Based on NSCT

2011 ◽  
Vol 24 ◽  
pp. 252-256 ◽  
Author(s):  
Wei Cui ◽  
Zhenhong Jia ◽  
Xizhong Qin ◽  
Jie Yang ◽  
Yingjie Hu
Keyword(s):  
Change Detection ◽  
Satellite Images ◽  
Detection Algorithm ◽  
Multi Temporal
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