Results 21 to 30 of about 30,093 (252)
Remote Sensing, 2021 The monitoring of impervious surfaces in urban areas using remote sensing with fine spatial and temporal resolutions is crucial for monitoring urban development and environmental changes in urban areas.
Rui Chen +8 more
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A fully automatic framework for sub-pixel mapping of thermokarst lakes using Sentinel-2 images
Science of Remote Sensing, 2023 Mapping and monitoring thermokarst lakes are crucial to understanding the impact of climate change on permafrost regions and quantifying permafrost-related carbon emissions. Several automatic methods based on remote sensing images have been developed for
Yuanyuan Qin, Chengyuan Zhang, Ping Lu
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Comparing four sub-pixel algorithms in MODIS snow mapping [PDF]
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005 Accurate monitoring of snow cover extent is an important research goal in the science of Earth systems. Now mixture modelling is important tool in the remote sensing community as researchers attempt to resolve sub-pixel, area information. In the paper, I tested four different sub-pixel analysis methods: Linear Mixture Model (LMM), Fuzzy c-means ...
Hongen Zhang +2 more
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Remote Sensing, 2022 High-resolution crop type mapping is of importance for site-specific agricultural management and food security in smallholder farming regions, but is challenging due to limited data availability and the need for image-based algorithms.
Linghui Guo +5 more
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Geodesy and Cartography, 2017 We evaluated the performance of nine machine learning regression algorithms and their ensembles for sub-pixel estimation of impervious areas coverages from Landsat imagery.
Drzewiecki Wojciech
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Remote Sensing, 2019 Wetland flooding is significant for the flora and fauna of wetlands. High temporal resolution remote sensing images are widely used for the timely mapping of wetland flooding but have a limitation of their relatively low spatial resolutions.
Linyi Li +7 more
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Mapping sub-antarctic cushion plants using random forests to combine very high resolution satellite imagery and terrain modelling. [PDF]
PLoS ONE, 2013 Monitoring changes in the distribution and density of plant species often requires accurate and high-resolution baseline maps of those species. Detecting such change at the landscape scale is often problematic, particularly in remote areas.
Phillippa K Bricher +4 more
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An Improved Projector Calibration Method by Phase Mapping Based on Fringe Projection Profilometry
Sensors, 2023 Aiming at the problem of the low accuracy of projector calibration in a structured light system, an improved projector calibration method is proposed in this paper.
Yabin Liu +4 more
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A Spatial–Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images
Remote Sensing, 2022 To address the problem caused by mixed pixels in MODIS images for high-resolution crop mapping, this paper presents a novel spatial–temporal deep learning-based approach for sub-pixel mapping (SPM) of different crop types within mixed pixels from MODIS ...
Yuxian Wang +5 more
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Dynamics of Hierarchical Urban Green Space Patches and Implications for Management Policy
Sensors, 2017 Accurately quantifying the variation of urban green space is the prerequisite for fully understanding its ecosystem services. However, knowledge about the spatiotemporal dynamics of urban green space is still insufficient due to multiple challenges that ...
Zhoulu Yu +6 more
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