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Automatic Detection Method for Loess Landslides Based on GEE and an Improved YOLOX Algorithm
Remote Sensing, 2022 The Loess Plateau is an ecologically fragile area in China; furthermore, loess landslides are typical forms of geological disasters, which severely limit the sustainable development of the local societies and the economy. Studying the automatic detection
Zheng Yu, Ruichun Chang, Zhe Chen
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Remote Sensing, 2021 The Qilian Mountains (QLM) are an important ecological barrier in western China. High-precision land cover data products are the basic data for accurately detecting and evaluating the ecological service functions of the QLM.
Yanpeng Yang +4 more
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Remote Sensing, 2021 As the population has increased and the economy has developed in the Qaidam Basin, the demand for food and energy in the basin has increased, and the contradiction between economic development and ecological protection is gradually becoming prominent. In
H. Jia, Changzhen Yan, Xuegang Xing
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Remote Sensing, 2021 In tropical/subtropical monsoon regions, accurate rice mapping is hampered by the following factors: (1) The frequent occurrence of clouds in such areas during the rice-growing season interferes strongly with optical remote sensing observations; (2) The ...
Wu Xiao, Suchen Xu, Tingting He
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GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection [PDF]
IEEE Conference on Communications and Network Security, 2019 This paper looks into the problem of detecting network anomalies by analyzing NetFlow records. While many previous works have used statistical models and machine learning techniques in a supervised way, such solutions have the limitations that they ...
Q. Nguyen +4 more
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ISPRS Int. J. Geo Inf., 2021 Planted forests in South Africa have been affected by an increasing number of economically damaging fires over the past four decades. They constitute a major threat to the forestry industry and account for over 80% of the country’s commercial timber ...
Sifiso Xulu, N. Mbatha, K. Peerbhay
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GEE TIMESERIES EXPLORER FOR QGIS – INSTANT ACCESS TO PETABYTES OF EARTH OBSERVATION DATA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 . Earth observation analysis workflows commonly require mass processing of time series data, with data volumes easily exceeding terabyte magnitude, even for relatively small areas of interest.
Philippe Rufin +3 more
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ISPRS Int. J. Geo Inf., 2020 During the latest decades, the Amazon has experienced a great loss of vegetation cover, in many cases as a direct consequence of wildfires, which became a problem at local, national, and global scales, leading to economic, social, and environmental ...
Elgar Barboza Castillo +8 more
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Utilization of Google Earth Engine (GEE) for land cover monitoring over Klang Valley, Malaysia
IOP Conference Series: Earth and Environment, 2020 Geospatial Big Data is currently received overwhelming attention and are on highlight globally and Google Earth Engine (GEE) is currently the hot pot platform to cater big data processing for Remote Sensing and GIS.
N. A. Wahap, H. Shafri
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The Stata Journal, 2020 Cluster randomized trials, where clusters (for example, schools or clinics) are randomized to comparison arms but measurements are taken on individuals, are commonly used to evaluate interventions in public health, education, and the social sciences ...
J. Gallis, Fan Li, E. Turner
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