Google Earth Engine: a global analysis and future trends

A Velastegui-Montoya, N Montalván-Burbano… - Remote Sensing, 2023 - mdpi.com
The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …

[HTML][HTML] Effects of environmental conditions on vegetation indices from multispectral images: A review

MA Haque, MN Reza, M Ali, MR Karim, S Ahmed… - Korean Journal of …, 2024 - kjrs.org
The utilization of multispectral imaging systems (MIS) in remote sensing has become crucial
for large-scale agricultural operations, particularly for diagnosing plant health, monitoring …

Estimation of forest parameters in boreal artificial coniferous forests using landsat 8 and sentinel-2A

R Sa, W Fan - Remote Sensing, 2023 - mdpi.com
In order to evaluate forest quality and carbon stocks and improve our understanding of
ecosystems and carbon cycling processes, the accurate measurement of aboveground …

The change pattern and its dominant driving factors of wetlands in the Yellow River Delta based on Sentinel-2 images

C Wei, B Guo, Y Fan, W Zang, J Ji - Remote Sensing, 2022 - mdpi.com
There were significant differences in the dominant driving factors of the change process of
different types of wetlands in the Yellow River delta. In addition, to our knowledge, the …

Analysis of growing season normalized difference vegetation index variation and its influencing factors on the Mongolian Plateau based on Google Earth Engine

Y Yan, Z **n, X Bai, H Zhan, J **, J **e, Y Cheng - Plants, 2023 - mdpi.com
Frequent dust storms on the Mongolian Plateau have adversely affected the ecological
environmental quality of East Asia. Studying the dynamic changes in vegetation coverage is …