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[HTML][HTML] Google Earth Engine and artificial intelligence (AI): a comprehensive review
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …
global climate change, risk assessment and vulnerability reduction of natural hazards …
Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review
Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …
decades, managing and analyzing of which are not practical using common software …
[HTML][HTML] Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland
X Long, H Lin, X An, S Chen, S Qi, M Zhang - Ecological Indicators, 2022 - Elsevier
Wetland vegetation has experienced significant loss and degradation over the last few
decades. Although volumes of studies involve wetlands, limited attention has been paid to …
decades. Although volumes of studies involve wetlands, limited attention has been paid to …
Relation matters: Relational context-aware fully convolutional network for semantic segmentation of high-resolution aerial images
Most current semantic segmentation approaches fall back on deep convolutional neural
networks (CNNs). However, their use of convolution operations with local receptive fields …
networks (CNNs). However, their use of convolution operations with local receptive fields …
[HTML][HTML] Land use map** using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel
Land use maps describe the spatial distribution of natural resources, cultural landscapes,
and human settlements, serving as an important planning tool for decision makers. In the …
and human settlements, serving as an important planning tool for decision makers. In the …
[HTML][HTML] Automated production of a land cover/use map of Europe based on Sentinel-2 imagery
Up-to-date information about the Earth's surface provided by land cover maps is essential for
numerous environmental and land management applications. There is, therefore, a clear …
numerous environmental and land management applications. There is, therefore, a clear …
Prototype and context-enhanced learning for unsupervised domain adaptation semantic segmentation of remote sensing images
K Gao, A Yu, X You, C Qiu, B Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In unsupervised domain adaptation (UDA) of remote sensing images (RSIs), the huge
interdomain discrepancies and intradomain variances lead to complicated class-level …
interdomain discrepancies and intradomain variances lead to complicated class-level …
[HTML][HTML] Continental-scale land cover map** at 10 m resolution over Europe (ELC10)
Land cover maps are important tools for quantifying the human footprint on the environment
and facilitate reporting and accounting to international agreements addressing the …
and facilitate reporting and accounting to international agreements addressing the …
[HTML][HTML] A new clustering method to generate training samples for supervised monitoring of long-term water surface dynamics using Landsat data through Google …
Water resources are vital to the survival of living organisms and contribute substantially to
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
Satellite-based data fusion crop type classification and map** in Rio Grande do Sul, Brazil
Field-scale crop monitoring is essential for agricultural management and policy making for
food security and sustainability. Automating crop classification process while elaborating a …
food security and sustainability. Automating crop classification process while elaborating a …