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A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends
J **
Many applied problems arising in agricultural monitoring and food security require reliable
crop maps at national or global scale. Large scale crop map** requires processing and …
crop maps at national or global scale. Large scale crop map** requires processing and …
A flexible spatiotemporal method for fusing satellite images with different resolutions
Studies of land surface dynamics in heterogeneous landscapes often require remote
sensing data with high acquisition frequency and high spatial resolution. However, no single …
sensing data with high acquisition frequency and high spatial resolution. However, no single …
[HTML][HTML] The Australian geoscience data cube—foundations and lessons learned
Abstract The Australian Geoscience Data Cube (AGDC) aims to realise the full potential of
Earth observation data holdings by addressing the Big Data challenges of volume, velocity …
Earth observation data holdings by addressing the Big Data challenges of volume, velocity …
Spatiotemporal satellite image fusion using deep convolutional neural networks
We propose a novel spatiotemporal fusion method based on deep convolutional neural
networks (CNNs) under the application background of massive remote sensing data. In the …
networks (CNNs) under the application background of massive remote sensing data. In the …
STFDiff: Remote sensing image spatiotemporal fusion with diffusion models
Spatiotemporal fusion (STF) methods aim to blend satellite images with different spatial and
temporal resolutions to support more frequent and precise monitoring. In the past decades …
temporal resolutions to support more frequent and precise monitoring. In the past decades …
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error
We developed a global, 30-m resolution dataset of percent tree cover by rescaling the 250-
m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields …
m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields …
A cubesat enabled spatio-temporal enhancement method (cestem) utilizing planet, landsat and modis data
Satellite sensing in the visible to near-infrared (VNIR) domain has been the backbone of
land surface monitoring and characterization for more than four decades. However, a …
land surface monitoring and characterization for more than four decades. However, a …
Opening the archive: How free data has enabled the science and monitoring promise of Landsat
Landsat occupies a unique position in the constellation of civilian earth observation
satellites, with a long and rich scientific and applications heritage. With nearly 40years of …
satellites, with a long and rich scientific and applications heritage. With nearly 40years of …