[HTML][HTML] Google Earth Engine and artificial intelligence (AI): a comprehensive review

L Yang, J Driscol, S Sarigai, Q Wu, H Chen, CD Lippitt - Remote Sensing, 2022 - mdpi.com
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Anthropogenic land use and land cover changes—A review on its environmental consequences and climate change

PS Roy, RM Ramachandran, O Paul, PK Thakur… - Journal of the Indian …, 2022 - Springer
The global demand for food and bioenergy changes associated with land use and land
cover change (LULCC) has raised concerns about the environment, global warming, and …

[HTML][HTML] 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] Geomorphometry and terrain analysis: data, methods, platforms and applications

L ** of land use and land cover for weather forecast models using Landsat 8 imagery
M Ganjirad, H Bagheri - Ecological Informatics, 2024 - Elsevier
Abstract Land Use and Land Cover (LULC) maps are vital prerequisites for weather
prediction models. This study proposes a framework to generate LULC maps based on the …

Google earth engine for informal settlement map**: A random forest classification using spectral and textural information

D Matarira, O Mutanga, M Naidu - Remote Sensing, 2022 - mdpi.com
Accurate and reliable informal settlement maps are fundamental decision-making tools for
planning, and for expediting informed management of cities. However, extraction of spatial …

Fine-scale urban informal settlements map** by fusing remote sensing images and building data via a transformer-based multimodal fusion network

R Fan, F Li, W Han, J Yan, J Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Urban informal settlements (UISs) are high-density population settlements with low
standards of living and supply. UIS semantic segmentation, which identifies pixels …

A robust approach for large-scale crop** intensity map** in smallholder farms from vegetation, brownness indices and SAR time series

B Qiu, X Hu, P Yang, Z Tang, W Wu, Z Li - ISPRS Journal of …, 2023 - Elsevier
Multiple crop** is a widespread agricultural intensification for increasing food production.
National-scale Crop** Intensity (CI) map** is important for achieving sustainable …

[HTML][HTML] Comparing object-based and pixel-based machine learning models for tree-cutting detection with planetscope satellite images: Exploring model …

V Nasiri, P Hawryło, P Janiec, J Socha - International Journal of Applied …, 2023 - Elsevier
Despite utilizing various remote sensing datasets, precise tree-cutting detection remains
challenging due to spatial and spectral resolution constraints in satellite imagery, complex …