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 …
Framework for near real-time forest inventory using multi source remote sensing data
Forestry inventory update is a critical component of sustainable forest management,
requiring both the spatially explicit identification of forest cover change and integration of …
requiring both the spatially explicit identification of forest cover change and integration of …
Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series
Coastal tidal wetlands are highly altered ecosystems exposed to substantial risk due to
widespread and frequent land-use change coupled with sea-level rise, leading to disrupted …
widespread and frequent land-use change coupled with sea-level rise, leading to disrupted …
[HTML][HTML] Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning
The tree species composition (TSC) reflects a forest's tree species diversity and is relevant
for forest planning, biodiversity conservation, and forest resources management. Yet …
for forest planning, biodiversity conservation, and forest resources management. Yet …
Temporal-agnostic change region proposal for semantic change detection
Remote sensing imagery allows temporal and large-scale observation of the Earth, and
advanced techniques such as deep learning have been developed to deal with the massive …
advanced techniques such as deep learning have been developed to deal with the massive …
Scattered tree death contributes to substantial forest loss in California
In recent years, large-scale tree mortality events linked to global change have occurred
around the world. Current forest monitoring methods are crucial for identifying mortality …
around the world. Current forest monitoring methods are crucial for identifying mortality …
Assessing combinations of Landsat, Sentinel-2 and Sentinel-1 time series for detecting bark beetle infestations
Bark beetle infestations are among the most substantial forest disturbance agents
worldwide. Moreover, as a consequence of global climate change, they have increased in …
worldwide. Moreover, as a consequence of global climate change, they have increased in …
Joint self-training and rebalanced consistency learning for semi-supervised change detection
Change detection (CD) is an important Earth observation task that can monitor change
areas at two times from the view of space. However, fully supervised CD has a heavy …
areas at two times from the view of space. However, fully supervised CD has a heavy …
SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
Change detection (CD) is a fundamental and important task for monitoring the land surface
dynamics in the earth observation field. Existing deep learning-based CD methods typically …
dynamics in the earth observation field. Existing deep learning-based CD methods typically …
Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting
Countries have pledged to different national and international environmental agreements,
most prominently the climate change mitigation targets of the Paris Agreement. Accounting …
most prominently the climate change mitigation targets of the Paris Agreement. Accounting …