Рақамли технологияларнинг назарий ва амалий масалалари 3-tom 1-san (2023) · 54-60-betler
Synthesis and Analysis of Index Images to Reveal the Dynamics of Change in the Amudarya River Bed on the GEE Cloud Platform
Рахманов, Х.Э., Фаттаева, Д.А., Ахмеджанов, Р.
Annotaciya
Google Earth Engine (GEE) is a cloud-based geospatial data processing platform for large-scale environmental monitoring and analysis. The free-to-use GEE platform provides access to several petabytes of publicly available remote sensing images and other ready-to-use products. Also, this cloud platform has high-speed parallel processing and machine learning algorithms using the computing infrastructure from Google. GEE includes a library of application programming interfaces with development environments that support popular programming languages such as JavaScript and Python. GEE core features enable users to discover, analyze and visualize large geospatial data in efficient ways without requiring access to supercomputers or specialized coding skills. To this end, it was decided to conduct research using big geodata on the GEE cloud platform for monitoring water bodies based on WRI, NDWI, MNDWI, NDTI, NDMI, NDSI multispectral optical images LandSat8,9 and Sentinel 2a,2b. Analyzing the dynamics of changes in the coastlines of water bodies for a selected period of time.
Google Earth Enginespectral brightness coefficientindex imagesWRINDWIMNDWINDTINDMINDSIGoogle Earth Engine
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.