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Deep learning for time series classification and extrinsic regression: A current survey
Time Series Classification and Extrinsic Regression are important and challenging machine
learning tasks. Deep learning has revolutionized natural language processing and computer …
learning tasks. Deep learning has revolutionized natural language processing and computer …
A review of machine learning in processing remote sensing data for mineral exploration
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …
different minerals in recent years has led exploration geologists to look for more efficient and …
[HTML][HTML] Urban land use and land cover change analysis using random forest classification of landsat time series
Efficient implementation of remote sensing image classification can facilitate the extraction of
spatiotemporal information for land use and land cover (LULC) classification. Map** …
spatiotemporal information for land use and land cover (LULC) classification. Map** …
[HTML][HTML] Land cover classification using Google Earth Engine and random forest classifier—The role of image composition
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …
to political. Accurate information about land cover affects the accuracy of all subsequent …
[HTML][HTML] Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and map** of forest attributes. Airborne data are often …
have revolutionized measurement and map** of forest attributes. Airborne data are often …
[HTML][HTML] A systematic review on advancements in remote sensing for assessing and monitoring land use and land cover changes impacts on surface water resources …
This study aimed to provide a systematic overview of the progress made in utilizing remote
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
Current status of Landsat program, science, and applications
Formal planning and development of what became the first Landsat satellite commenced
over 50 years ago in 1967. Now, having collected earth observation data for well over four …
over 50 years ago in 1967. Now, having collected earth observation data for well over four …
Landsat 9: Empowering open science and applications through continuity
The history of Earth observation from space is well reflected through the Landsat program.
With data collection beginning with Landsat-1 in 1972, the program has evolved technical …
With data collection beginning with Landsat-1 in 1972, the program has evolved technical …
[HTML][HTML] A systematic review of landsat data for change detection applications: 50 years of monitoring the earth
With uninterrupted space-based data collection since 1972, Landsat plays a key role in
systematic monitoring of the Earth's surface, enabled by an extensive and free …
systematic monitoring of the Earth's surface, enabled by an extensive and free …
Spatiotemporal patterns and characteristics of land-use change in China during 2010–2015
J Ning, J Liu, W Kuang, X Xu, S Zhang, C Yan… - Journal of Geographical …, 2018 - Springer
Land use/cover change is an important theme on the impacts of human activities on the
earth systems and global environmental change. National land-use changes of China …
earth systems and global environmental change. National land-use changes of China …