that's is helpful. I noticed that you just switched between band combinations while taking training sample as against using an online base map for identifying features as some people do. which is better ?
composite bands show band 1 band 1 and band 1. Dont use composite bands from window analysis. Use composite band tool from arc tool box. You will have composite image with band 1 2 3.
hi i want your help here, after creating the composite it has been difficult to connect the shape file to ArcGIS satellite image. i have marked the area of interest but i am not doing it right.... i think am jumping a step. i welcome learned friends and mostly the teacher here if you have the time
Sir, my research / dissertation topic is : Monitoring sal forest decline through remote sensing time series analysis. What type of methods should be apply there? Please help?
Interactive supervised classification is a process in which a user manually assigns training samples to different classes, and then uses this "supervised" training data to train a classifier. This classifier can then be used to classify new data points based on their similarity to the training data. Maximum likelihood classification is a technique for estimating the parameters of a probabilistic model and then using these estimates to classify new data points. In maximum likelihood classification, the classifier assigns a new data point to the class that maximizes the likelihood of the data point given the class. One key difference between the two approaches is that interactive supervised classification requires manual input from the user to assign the training samples to different classes, while maximum likelihood classification does not require this type of manual input. Additionally, maximum likelihood classification involves estimating probabilistic models, while interactive supervised classification does not necessarily involve probabilistic modeling.
Though its late but maybe it might help somehow.. collection 2 level 1 data is in form of Digital Numbers (DN-Values), so to obtain better results in your classification you need to preprocess the data (radiometric and atmospheric corrections - preferably FLAASH) in order to get surface reflectance data of your image.
I had the shapefile of my area of interest already that is of rupandehi district. So I used that to cut out my area of interest. You can add any polygon shapefile for your area and use extract by mask.
