Google Earth Engine and artificial intelligence (AI): a comprehensive review
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 …
global climate change, risk assessment and vulnerability reduction of natural hazards …
[HTML][HTML] What is going on within google earth engine? A systematic review and meta-analysis
P Pérez-Cutillas, A Pérez-Navarro… - … Society and environment, 2023 - Elsevier
Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …
information applications in the 'cloud'. This platform provides free access to huge volumes of …
Object-oriented lulc classification in google earth engine combining snic, glcm, and machine learning algorithms
A Tassi, M Vizzari - Remote Sensing, 2020 - mdpi.com
Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and
object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be …
object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be …
Impacts of building configurations on urban stormwater management at a block scale using XGBoost
Urban pluvial flooding has become a threatening hazard to ecosystem and human lives in
recent years. Identifying its driving factors is essential for stormwater management. A …
recent years. Identifying its driving factors is essential for stormwater management. A …
Accurate water extraction using remote sensing imagery based on normalized difference water index and unsupervised deep learning
Large-scale monitoring of surface water bodies is of great significance to the sustainable
development of regional ecosystems. Remote sensing is currently the main method of global …
development of regional ecosystems. Remote sensing is currently the main method of global …
Long-term mapping of land use and cover changes using Landsat images on the Google Earth Engine Cloud Platform in bay area-A case study of Hangzhou Bay …
Large-scale, long-term series, and high-precision land use and cover change (LUCC)
mapping is the basic support for territorial spatial planning and sustainable development in …
mapping is the basic support for territorial spatial planning and sustainable development in …
Land use/land cover change and their driving factors in the Yellow River Basin of Shandong Province based on google earth Engine from 2000 to 2020
J Cui, M Zhu, Y Liang, G Qin, J Li, Y Liu - ISPRS International Journal of …, 2022 - mdpi.com
As the convenient outlet to the Bo Sea and the major region of economic development in the
Yellow River Basin, Shandong Province in China has undergone large changes in land …
Yellow River Basin, Shandong Province in China has undergone large changes in land …
A new clustering method to generate training samples for supervised monitoring of long-term water surface dynamics using Landsat data through Google Earth …
Water resources are vital to the survival of living organisms and contribute substantially to
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
Comprehensive survey of artificial intelligence techniques and strategies for climate change mitigation
With the galloping progress of the changing climates all around the world, Machine Learning
(ML) approaches have been prevalently studied in many types of research in this area. ML is …
(ML) approaches have been prevalently studied in many types of research in this area. ML is …
[HTML][HTML] Towards transparent deep learning for surface water detection from SAR imagery
Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …
environmental protection. Nowadays, significant progress has been achieved in water …