Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
Z Zhu - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
The free and open access to all archived Landsat images in 2008 has completely changed
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
Remote sensing of forest degradation: a review
Forest degradation affects forest structure, composition and diversity, carbon stocks,
functionality and ecosystem processes. It is known to contribute significantly to global carbon …
functionality and ecosystem processes. It is known to contribute significantly to global carbon …
A CNN-transformer network with multiscale context aggregation for fine-grained cropland change detection
Nonagriculturalization incidents are serious threats to local agricultural ecosystem and
global food security. Remote sensing change detection (CD) can provide an effective …
global food security. Remote sensing change detection (CD) can provide an effective …
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 …
[HTML][HTML] A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series
In the context of complex demands on forest resources and climate change, synoptic and
spatially-explicit baseline data characterizing national trends in forest disturbance and …
spatially-explicit baseline data characterizing national trends in forest disturbance and …
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 …
Map** agricultural land abandonment from spatial and temporal segmentation of Landsat time series
Agricultural land abandonment is a common land-use change, making the accurate
map** of both location and timing when agricultural land abandonment occurred …
map** of both location and timing when agricultural land abandonment occurred …
[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 …
Land use and land cover change in Inner Mongolia-understanding the effects of China's re-vegetation programs
During the past decades, overuse of land resources has increasingly contributed to
environmental crises in China. To mitigate wide-spread land degradation, actions have …
environmental crises in China. To mitigate wide-spread land degradation, actions have …
[HTML][HTML] Empirical cross sensor comparison of Sentinel-2A and 2B MSI, Landsat-8 OLI, and Landsat-7 ETM+ top of atmosphere spectral characteristics over the …
R Chastain, I Housman, J Goldstein, M Finco… - Remote sensing of …, 2019 - Elsevier
Remote sensing landscape monitoring approaches frequently benefit from a dense time
series of observations. To enhance these time series, data from multiple satellite systems …
series of observations. To enhance these time series, data from multiple satellite systems …