[HTML][HTML] The use of artificial intelligence and satellite remote sensing in land cover change detection: review and perspectives

Z Gu, M Zeng - Sustainability, 2023 - mdpi.com
The integration of Artificial Intelligence (AI) and Satellite Remote Sensing in Land Cover
Change Detection (LCCD) has gained increasing significance in scientific discovery and …

[HTML][HTML] Coastal Zone Information Model: A comprehensive architecture for coastal digital twin by integrating data, models, and knowledge

Z Yu, P Du, L Yi, W Luo, D Li, B Zhao, L Li, Z Zhang… - Fundamental …, 2024 - Elsevier
The coastal zone represents a critical intersection of naturally ecological and socio-
economic processes. The abundance of data, models, and knowledge derived from various …

[HTML][HTML] Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case …

P Lemenkova - Coasts, 2024 - mdpi.com
Mapping coastal regions is important for environmental assessment and for monitoring
spatio-temporal changes. Although traditional cartographic methods using a geographic …

[HTML][HTML] Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets

Y Cui, J Dong, C Zhang, J Yang, N Chen, P Guo, Y Di… - Scientific Data, 2024 - nature.com
Accurate cropland map serves as the cornerstone of effective agricultural monitoring.
Despite the continuous enrichment of remotely sensed cropland maps, pervasive …

[HTML][HTML] Comparative validation of recent 10 m-resolution global land cover maps

P Xu, NE Tsendbazar, M Herold, S de Bruin… - Remote Sensing of …, 2024 - Elsevier
Accurate and high-resolution land cover (LC) information is vital for addressing
contemporary environmental challenges. With the advancement of satellite data acquisition …

Optimal allocation of urban transportation land at a regional level: A case of the Yangtze River Economic Belt, China

K Wang, J Zhang, L Wang - Sustainable Cities and Society, 2024 - Elsevier
Effective allocation of transportation resources is considered essential for achieving
sustainable development. However, there is a notable lack of comprehensive approaches …

[HTML][HTML] ABNet: An Aggregated Backbone Network Architecture for Fine Landcover Classification

B Si, Z Wang, Z Yu, K Wang - Remote Sensing, 2024 - mdpi.com
High-precision landcover classification is a fundamental prerequisite for resource and
environmental monitoring and land-use status surveys. Imbued with intricate spatial …

[HTML][HTML] Cropland and Crop Type Classification with Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine for Agricultural Monitoring in Ethiopia

C Eisfelder, B Boemke, U Gessner, P Sogno, G Alemu… - Remote Sensing, 2024 - mdpi.com
Cropland monitoring is important for ensuring food security in the context of global climate
change and population growth. Freely available satellite data allow for the monitoring of …

[HTML][HTML] Land-Use and Land-Cover Changes in Cottbus City and Spree-Neisse District, Germany, in the Last Two Decades: A Study Using Remote Sensing Data and …

R Ahmed, MA Zafor, K Trachte - Remote Sensing, 2024 - mdpi.com
Regular detection of land-use and land-cover (LULC) changes with high accuracy is
necessary for natural resources management and sustainable urban planning. The …

Integration of remote sensing and crowdsourced data for fine-grained urban flood detection

Z Liu, J Li, L Wang, A Plaza - IEEE Journal of Selected Topics …, 2024 - ieeexplore.ieee.org
In the context of frequent global flood disasters, flood detection is of great significance for
emergency management and human sustainable development, especially in urban areas …