Maximum likelihood Classification and Change detection of Landsat images -- 3

GIS and Remote sensing expert here is to do the job. Have done lots of LandSat classifications earlier, and have experience of using geo-spatial software like ArcGIS, ERDAS imagine, IDRIS over 8 years. Using IDRIS, from histogram, we can make the subtraction, and then do classification, based on the signature. I can do these easily, let us discuss to find more. Best Wishes, Labib [DO check my feedback of cartography and remote sensing projects]

Dear Sir Intersting job. I have worked in the Satellite Remote Sensing and Geoinformatics institute more than 10 years. I have take part in several project meantime. Pls check my portfolio. I checked your project. Here, i can set water body as dark objects. I would like to know the classification type. that is, for example, How many classes i have to classify? And can u provide Landsat TM image? and image is Landsat ETM + or OLE? I would like to chat with u via PM thanks Joe

I have a huge exopertise in Remote Sensing. I processed many types of Satellite imagery and sensors such as: Landsat TM, SPOT, IRS, Quickbird, Ikonos etc. I classified using MLK and calculating change detetction in a multitemporal set of images

Hi, I'm familiar with such tasks, have experience in the Landsat and Sentinel images processing, developed plag-ins for Sentinel SNAP Toolboxes for images classification (look my portfolio). Hope to be useful in your project. Best regards, Sergiy.

I have experience of Remote Sensing and Image processing software's. I will carry out atmospheric correction using DOS in Erdas Imagine model maker. I can also perform atmospheric corrections (calculate radiance & reluctance). Then I will carry out Maximum likelihood classification. Then I will compare the change detection result quantitatively and generate comparison table. I will provide the final report with videos of steps.

Dear Sir/Madam, I am a spatial data specialist, including analyzing remotely sensed imagery such as Landsat with GIS software and Python, which is how I propose to complete this task. My academic education was in Ecology and Natural Resources management, up to masters level, during which I gained skills in quantitative data analysis, programming, and GIS. This lead me to take on roles in data management and analysis for environmental consultancies for over five years, and I have additional experience gained from volunteer work and my current work as a freelance data scientist and developer. I will be looking forward to hearing back from you about this opportunity. Kind regards, Shaun

Dear Sir/Madam, I would like to submit a proposal for your advertised project. I am an experienced remote sensing analyst, and I have undertaken a diverse range land cover classification projects. These include Landsat imagery for land cover change and deforestation monitoring in the Brazilian rainforest, Sentinel and Worldview imagery for identifying archaeological sites in Wales, and Landsat imagery for detecting land cover change to identify suitable mosquito habitats in Zanzibar. I would be happy to send some of my reports as a PDF. My training is to prepare my own classification scripts with open source tools made available through the Python programming language. In this way the process of classification, change detection and accuracy assessment can be done faster and more efficiently. Questions: 1. How many landsat images make up the area, and how many dates are there in the time series? 2. How many land cover classes are you interested in? 3. Do you want the classification to be pixel based or object based? 4. Why use maximum likelihood? Algorithms such as Random Forests or SVN are widely regarded to be more accurate 5. Do you need an accuracy assessment? 6. What land cover change product do you desire? e.g. a matrix of total areas of each change, a map showing change etc. 7. What kind of write up of the method do you need? i.e. does it need to be fully presentable with references, or just a list of steps taken? Thanks for looking at my proposal, Lawrence

This is a report project, and I intended to carry out the following tasks: 1- Receive the Landsat images and apply the required corrections (atmospheric correction, sun azimuth correction, cloud removal) i.e. the standard corrections (or as requested) 2- Applying maximum likelihood classifications. and export the results to ArcGIS format 3- Apply change detection algorithm, either on ENVI or ArcGIS (as required or requested) and export the results to a map and a matrix format 4- Deliver a detailed report, fully illustrating the analysis procedure and the parameters used. 5- If requested, I will deliver a step-by-step report for the analysis flow along with the files created during analysis. 6- The reports can be delivered in LaTEX or MS Word (as requested) Final Comment: As a PhD Holder I know how to write a paper, therefore if this project for submitting an article, I can prepare the reports accordingly, if requested. Thank you so much Tamer ElGharbawi