[HTML][HTML] Historical background and current developments for map** 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 …
[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
Map** paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
J Dong, X ** forest change using stacked generalization: An ensemble approach
The ever-increasing volume and accessibility of remote sensing data has spawned many
alternative approaches for map** important environmental features and processes. For …
alternative approaches for map** important environmental features and processes. For …
Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2
Combining observations from multiple optical and synthetic aperture radar (SAR) satellites
can provide temporally dense and regular information at medium resolution scale …
can provide temporally dense and regular information at medium resolution scale …
Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux
Lidar transforms how we map ecosystems, but its prospect for measuring ecosystem
dynamics is limited by practical factors, such as variation in lidar acquisition and lack of …
dynamics is limited by practical factors, such as variation in lidar acquisition and lack of …
A LandTrendr multispectral ensemble for forest disturbance detection
Monitoring and classifying forest disturbance using Landsat time series has improved
greatly over the past decade, with many new algorithms taking advantage of the high …
greatly over the past decade, with many new algorithms taking advantage of the high …
[HTML][HTML] Continuous monitoring of forest change dynamics with satellite time series
Several forest change detection algorithms are available for tracking and quantifying
deforestation based on dense Landsat and Sentinel time series satellite data. Only few also …
deforestation based on dense Landsat and Sentinel time series satellite data. Only few also …
Humid tropical forest disturbance alerts using Landsat data
A Landsat-based humid tropical forest disturbance alert was implemented for Peru, the
Republic of Congo and Kalimantan, Indonesia. Alerts were mapped on a weekly basis as …
Republic of Congo and Kalimantan, Indonesia. Alerts were mapped on a weekly basis as …