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Remote sensing in forestry: current challenges, considerations and directions
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
[HTML][HTML] A survey on deep learning-based change detection from high-resolution remote sensing images
H Jiang, M Peng, Y Zhong, NJ Murray, TA Worthington, P Bunting, S Duce… - Science, 2022 - science.org
Tidal wetlands are expected to respond dynamically to global environmental change, but the
extent to which wetland losses have been offset by gains remains poorly understood. We …
extent to which wetland losses have been offset by gains remains poorly understood. We …
Global hotspots of salt marsh change and carbon emissions
Salt marshes provide ecosystem services such as carbon sequestration, coastal protection,
sea-level-rise (SLR) adaptation and recreation. SLR, storm events, drainage and mangrove …
sea-level-rise (SLR) adaptation and recreation. SLR, storm events, drainage and mangrove …
The neglected role of abandoned cropland in supporting both food security and climate change mitigation
Despite the looming land scarcity for agriculture, cropland abandonment is widespread
globally. Abandoned cropland can be reused to support food security and climate change …
globally. Abandoned cropland can be reused to support food security and climate change …
Dynamic World, Near real-time global 10 m land use land cover map**
Unlike satellite images, which are typically acquired and processed in near-real-time, global
land cover products have historically been produced on an annual basis, often with …
land cover products have historically been produced on an annual basis, often with …
Global land use/land cover with Sentinel 2 and deep learning
Land use/land cover (LULC) maps are foundational geospatial data products needed by
analysts and decision makers across governments, civil society, industry, and finance to …
analysts and decision makers across governments, civil society, industry, and finance to …
[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** …
SinoLC-1: The first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data
In China, the demand for a more precise perception of the national land surface has become
most urgent given the pace of development and urbanization. Constructing a very-high …
most urgent given the pace of development and urbanization. Constructing a very-high …