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.

Рақамли технологияларнинг назарий ва амалий масалалари · 2023-yil

Annotatsiya

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.

Maqola ma’lumotlari
MualliflarРахманов, Х.Э., Фаттаева, Д.А., Ахмеджанов, Р.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
Nashr sanasi2023-03-19
Jild3
Son1
Betlar54-60
TilRus

Kalit so‘zlar

Google Earth Engine, spectral brightness coefficient, index images, WRI, NDWI, MNDWI, NDTI, NDMI, NDSI, Google Earth Engine, коэффициент спектральной яркости, индексные изображения, WRI, NDWI, MNDWI, NDTI, NDMI, NDSI

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