Landsat GIS Lake Surface Temperature Python Automation project

Hi there, I have checked the details I have great experience with Cartography & Maps, Geospatial, Python, Software Architecture, Web Scraping. Please start the chat so we can discuss this job more in detail. Thanks

Hello. I am very interested in your project. I have rich experience in development using python, java, c++, c# for 8 years. You can know my high skills once you see my profile. I have experience in Google map, GPS, web scraping, automation. I am sure to satisfy your requirements and if you hire me, I will provide you good results. I want to discuss more in detail with you. Best Regards.

Hi, I'm GIS Developer from India and founder of GISKernel. I have past experience of working with top companies like ESRI. I have developed lot of tools and application in GIS and mostly focused on automation. We can use ArcPy (ArcGIS), GDAL, PyQGIS to execute the project along with some AI/ML things to automate. Will be happy to discuss the requirements in detail. Regards, Akshay

Hi there, I have checked the details. I have rich experience with Cartography & Maps, Geospatial, Python, Software Architecture, Web Scraping. Please initiate the chat so we can discuss this job in detail.

Greetings, we have read the project description, which is interesting one. we are well versed with this area. Allow us to complete it. Warmest Regards

Hi, I'm Geospatial Python developer with 5 years of experience. I am used to analysing satellite data using Python and can create that script for you. I have just finished a project where I had to use satellite data for terrain slope calculation for weather forecasting using Python.

Offers expert solutions in GeoSpatial and Remote Sensing. We have team members, who have experience over 10 years in the field of Cartography and GIS. Managed several projects with similar scope of compiling data of predicting Flood prone areas from satellite imagery and calculating volume of tanks/ dams from satellite imagery. Excellent communicators, through this quality we can deliver the project need to the precise with minimal direction. We are ready to prove our expertise with sample data. Expecting Best Regards, Sathishkumar P, Niruvanam

Hello, I have read the details provided and i am positive i can provide quality work,please contact me to discuss more on the project deadline and some other few things

I am applying for the Landsat GIS Lake Surface Temperature Python Automation project. I am a graduate of Salisbury and Moi Universities with a Master’s degree in Geographic Information Management and Bachelor’s degree in Geography respectively. My vast skills and experience of over 8 years in GIS, Remote Sensing and Mobile GIS ensure that I am an individual who know how to accomplish tasks personally and, in a team dynamic. In my prior jobs, I worked in capacity of Geospatial Consultant, Geospatial Training Consultant, GIS Analyst and GIS and Remote Sensing Instructor, which required that I complete different tasks. I know that I would be a great fit for the opportunity and would be able to deliver. I have skills and experience in working and training with Geographic Information Systems (GIS) and Remote Sensing software both Commercial and open source including but not limited to ArcGIS suite, Q - GIS, ENVI, Erdas Imagine etc. I have skills and experience of over 6 years in developing using python language in both ArcGIS and Q-GIS. On this project, I commit to give automated python script with an interface for both ArcGIS and Q-GIS. I would appreciate the opportunity to discuss my suggested methodology and approach for the automation of the workflow for this project with you. Thank you

Hello, I have reviewed your project posting and would appreciate if you can share more details about the same. We definitely have the skills required to complete the project but do need some questions clarified. Looking forward to hear from you soon. Regards

i already did this script using sentinel 2A images to evaluate temperature change. The main method to investigate multitemporal land surface temperature (LST) changes by using satellite remote sensing data. Normalized vegetation index (NDVI), vegetation condition index (VCI), and temperature vegetation index (TVX) will be used for evaluating drought impact over the region In the image processing step, geometric and radiometric correction procedures were conducted to make satellite remote sensing data comparable with in situ measurements carried out using thermal infrared thermometer.