Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985 …

M Waleed, M Sajjad, MS Shazil, M Tariq, MT Alam - Ecological Informatics, 2023 - Elsevier
Wetlands are crucial ecosystems as they enhance the quality of groundwater, protect from
natural hazards, control erosion, and provide habitat to rare species of flora and fauna …

[HTML][HTML] Cost-benefit analysis of ecological restoration based on land use scenario simulation and ecosystem service on the Qinghai-Tibet Plateau

M Li, S Liu, F Wang, H Liu, Y Liu, Q Wang - Global Ecology and …, 2022 - Elsevier
Ecological degradation is a serious problem across the world constraining regional
sustainable development, while ecological restoration is of great significance in alleviating …

[HTML][HTML] Ecological landscape pattern changes and security from 1990 to 2021 in Ebinur Lake Wetland Reserve, China

Q Sun, J Sun, A Baidurela, L Li, X Hu, T Song - Ecological Indicators, 2022 - Elsevier
There is an increasing contradiction between humanity's growing demand for natural
resources and relatively limited supplements. Thus, ecological security has received …

Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine

M Kazemi Garajeh, G Laneve, H Rezaei… - Pollutants, 2023 - mdpi.com
Air pollution (AP) is a significant risk factor for public health, and its impact is becoming
increasingly concerning in developing countries where it is causing a growing number of …

Long-term detection and spatiotemporal variation analysis of open-surface water bodies in the Yellow River Basin from 1986 to 2020

Y Zhang, J Du, L Guo, S Fang, J Zhang, B Sun… - Science of the Total …, 2022 - Elsevier
Accurately investigating long-term information about open-surface water bodies can
contribute to water resource protection and management. However, due to the limits of big …

[HTML][HTML] Where are the outcrops? Automatic delineation of bedrock from sediments using Deep-Learning techniques

AJ Ganerød, V Bakkestuen, M Calovi, O Fredin… - Applied Computing and …, 2023 - Elsevier
The delineating of bedrock from sediment is one of the most important phases in the
fundamental process of regional bedrock identification and mapping, and it is usually …

Machine learning application in GIS and remote sensing: An overview

A Upreti - 2022 - preprints.org
Abstract Machine learning (ML) is a subdivision of artificial intelligence in which the machine
learns from machine-readable data and information. It uses data, learns the pattern and …

Exploring the Use of Orthophotos in Google Earth Engine for Very High-Resolution Mapping of Impervious Surfaces: A Data Fusion Approach in Wuppertal, Germany

JP Langenkamp, A Rienow - Remote Sensing, 2023 - mdpi.com
Germany aims to reduce soil sealing to under 30 hectares per day by 2030 to address
negative environmental impacts from the expansion of impervious surfaces. As cities adapt …

[HTML][HTML] Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE

Y Fu, Y Zhang - Frontiers in Environmental Science, 2022 - frontiersin.org
Taking the main urban area of Anshan City, where mining areas concentrate as the study
area, based on Google Earth Engine (GEE) platform, the study acquired and processed the …

Threshold effect of data amount and grid size on urban land use type identification using multi-source data fusion

H Lv, Z Wu, X Guan, Y Meng, H Wang… - Sustainable Cities and …, 2023 - Elsevier
Reliable urban land use maps are important for sustainable development and planning.
Currently, the effects of different data source combinations and grid sizes on mapping results …