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[HTML][HTML] 10 m crop type map** using Sentinel-2 reflectance and 30 m cropland data layer product
The 30 m resolution US Department of Agriculture (USDA) crop data layer (CDL) is a widely
used crop type map for agricultural management and assessment, environmental impact …
used crop type map for agricultural management and assessment, environmental impact …
[HTML][HTML] Deep learning classification by ResNet-18 based on the real spectral dataset from multispectral remote sensing images
Y Zhao, X Zhang, W Feng, J Xu - Remote sensing, 2022 - mdpi.com
Owing to the limitation of spatial resolution and spectral resolution, deep learning methods
are rarely used for the classification of multispectral remote sensing images based on the …
are rarely used for the classification of multispectral remote sensing images based on the …
CroFuseNet: A semantic segmentation network for urban impervious surface extraction based on cross fusion of optical and SAR images
W Wu, S Guo, Z Shao, D Li - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
The fusion of optical and synthetic aperture radar (SAR) images is a promising method to
extract urban impervious surface (IS) accurately. Previous studies have shown that the …
extract urban impervious surface (IS) accurately. Previous studies have shown that the …
[HTML][HTML] Near real-time map** of tropical forest disturbance using sar and semantic segmentation in google earth engine
Satellite-based forest alert systems are an important tool for ecosystem monitoring, planning
conservation, and increasing public awareness of forest cover change. Continuous …
conservation, and increasing public awareness of forest cover change. Continuous …
[HTML][HTML] Optimal spectral index and threshold applied to Sentinel-2 data for extracting impervious surface: Verification across latitudes, growing seasons, approaches …
Many spectral indices have recently been developed for accurate extraction of impervious
surfaces. Moreover, there are several 10-m global datasets available containing …
surfaces. Moreover, there are several 10-m global datasets available containing …
Automatic extraction of urban impervious surface based on SAH-Unet
R Chang, D Hou, Z Chen, L Chen - Remote Sensing, 2023 - mdpi.com
Increases in the area of impervious surfaces have occurred with urbanization. Such surfaces
are an important indicator of urban expansion and the natural environment. The automatic …
are an important indicator of urban expansion and the natural environment. The automatic …
Fine-resolution map** of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM
Man-made impervious areas map is of great demand in environmental and urbanization
studies since impervious areas are considered as a key indication of urbanization …
studies since impervious areas are considered as a key indication of urbanization …
Monitoring impervious surface area dynamics in urban areas using Sentinel-2 data and improved Deeplabv3+ model: A case study of **an City, China
J Liu, Y Zhang, C Liu, X Liu - Remote Sensing, 2023 - mdpi.com
Timely and rapidly map** impervious surface area (ISA) and monitoring its spatial-
temporal change pattern can deepen our understanding of the urban process. However, the …
temporal change pattern can deepen our understanding of the urban process. However, the …
Slowing the expansion of impervious surfaces: the key to promoting high-quality and sustainable regional development
M Hu, C Ye, M Gu, W **ao, H Hu, Q Dong - Environmental Science and …, 2024 - Springer
Sponge cities are disaster-resilient and sustainable infrastructure, and the emergence of
impervious surfaces hinders the construction of sponge cities. In response to the United …
impervious surfaces hinders the construction of sponge cities. In response to the United …