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Water information cannot be accurately extracted using TM images because true information is lost in some images because of blocking clouds and missing data stripes, thereby water information cannot b...
Monitoring and evaluating natural disasters is one of important applying fields of remote sensing. In this paper, the authors monitor dynamically the change and move laws of landslides by making use o...
To be applicable to a wide variety of biomes, algorithms for predicting remotely sensed signatures of forests have to rely on physically-based principles. These physically-based models are able to ca...
A new solution algorithm that combined D-InSAR and probability integral method was proposed to generate the three dimensional deformation in mining area. The details are as follows: according to the g...
The multispectral and multitemporal data coming from satellites allow us to extract valuable spatiotemporal change. Consequently, Earth surface change detection analysis has been used in the past to ...
MODELING THE CONDITIONAL PROBABILITY OF THE OCCURRENCE OF FUTURE LANDSLIDES IN A STUDY AREA CHARACTERIZED BY SPATIAL DATA.
Maximum Likelihood Method (MLM) has been one of the most traditional classification methods in remote sensing field, but its disadvantages have been also pointed out. While a prior occurrence probabi...
Multinomial logistic regression analysis was used to develop statistical model that can predict the probability of breast cancer in Southern Karnataka using the breast cancer occurrence data during 20...
Unexploded aerial Bombs, also known as duds or unfused bombs, of the bombardments in the past wars remain explosive for decades after the war under the earth’s surface threatening the civil activities...

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