Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
[HTML][HTML] Historical background and current developments for mapping burned area from satellite Earth observation
Fire has a diverse range of impacts on Earth's physical and social systems. Accurate and up
to date information on areas affected by fire is critical to better understand drivers of fire …
to date information on areas affected by fire is critical to better understand drivers of fire …
A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring
N Joshi, M Baumann, A Ehammer, R Fensholt… - Remote Sensing, 2016 - mdpi.com
The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …
efforts towards accurately determining land use and quantifying subtle changes in land use …
Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning
In recent years, the world witnessed many devastating wildfires that resulted in destructive
human and environmental impacts across the globe. Emergency response and rapid …
human and environmental impacts across the globe. Emergency response and rapid …
[图书][B] Fundamentals of satellite remote sensing: An environmental approach
E Chuvieco - 2020 - taylorfrancis.com
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …
Satellite remote sensing contributions to wildland fire science and management
Purpose This paper reviews the most recent literature related to the use of remote sensing
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data
Around 350 million hectares of land are affected by wildfires every year influencing the
health of ecosystems and leaving a trail of destruction. Accurate information over burned …
health of ecosystems and leaving a trail of destruction. Accurate information over burned …
[HTML][HTML] Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies
MA Belenguer-Plomer, MA Tanase… - Remote Sensing of …, 2019 - Elsevier
This paper presents a burned area mapping algorithm based on change detection of
Sentinel-1 backscatter data guided by thermal anomalies. The algorithm self-adapts to the …
Sentinel-1 backscatter data guided by thermal anomalies. The algorithm self-adapts to the …
SmokeNet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention
A variety of environmental analysis applications have been advanced by the use of satellite
remote sensing. Smoke detection based on satellite imagery is imperative for wildfire …
remote sensing. Smoke detection based on satellite imagery is imperative for wildfire …
[HTML][HTML] Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series
Wildfires are increasing in intensity and frequency across the globe due to climate change
and rising global temperature. Development of novel approach to Monitor wildfire …
and rising global temperature. Development of novel approach to Monitor wildfire …