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A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
environment has become essential for many countries' sustainable development. As various …
[HTML][HTML] Polarimetric imaging via deep learning: A review
Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform
The amount of impervious surface is an important indicator in the monitoring of the intensity
of human activity and environmental change. The use of remote sensing techniques is the …
of human activity and environmental change. The use of remote sensing techniques is the …
Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation
Urban impervious surface coverage is an important parameter to understand effects of hydro-
environment on the process of urbanization. Impervious surfaces have altered urban …
environment on the process of urbanization. Impervious surfaces have altered urban …
[HTML][HTML] A deep learning multi-layer perceptron and remote sensing approach for soil health based crop yield estimation
Abstract In recent years, Deep Learning Multi-Layer Perceptron (DLMLP) neural networks
have shown remarkable success in addressing crop yield forecast related problems. The …
have shown remarkable success in addressing crop yield forecast related problems. The …
[HTML][HTML] Toward accurate map** of 30-m time-series global impervious surface area (GISA)
As an important indicator of urbanization, accurate and long-term global artificial impervious
surface area (ISA) monitoring is vital to biodiversity, water quality assessment, urban heat …
surface area (ISA) monitoring is vital to biodiversity, water quality assessment, urban heat …
[HTML][HTML] Co-Orbital Sentinel 1 and 2 for LULC map** with emphasis on wetlands in a mediterranean setting based on machine learning
This study aimed at evaluating the synergistic use of Sentinel-1 and Sentinel-2 data
combined with the Support Vector Machines (SVMs) machine learning classifier for map** …
combined with the Support Vector Machines (SVMs) machine learning classifier for map** …
Dimensionality reduction and feature selection for object-based land cover classification based on Sentinel-1 and Sentinel-2 time series using Google Earth Engine
Map** Earth's surface and its rapid changes with remotely sensed data is a crucial task to
understand the impact of an increasingly urban world population on the environment …
understand the impact of an increasingly urban world population on the environment …
A comparative analysis of megacity expansions in China and the US: Patterns, rates and driving forces
Research on physical characteristics and land-cover dynamic changes of megacities over
time provides valuable insights for effectively regulating urban planning and management …
time provides valuable insights for effectively regulating urban planning and management …
Assessing spatial-temporal dynamics of urban expansion, vegetation greenness and photosynthesis in megacity Shanghai, China during 2000–2016
Vegetation plays an essential role in improving urban environments and enhancing the
physical and mental health of residents. However, rapid urbanization has exerted …
physical and mental health of residents. However, rapid urbanization has exerted …