Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
Sign Up to like & getrecommendations! Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.06.013
Abstract: Abstract 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 time series have been developed… read more here.
Keywords: change detection; detection; landsat time; time series ... See more keywords
Spatiotemporal changes of glacier and seasonal snow fluctuations over the Namcha Barwa–Gyala Peri massif using object-based classification from Landsat time series
Sign Up to like & getrecommendations! Published in 2021 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2021.04.018
Abstract: Abstract The glacier environment in the Namcha Barwa–Gyala Peri (NBGP) massif is regarded as one of the most sensitive areas to climate change, yet the change estimates remain inadequate due to the limited knowledge of… read more here.
Keywords: area; based classification; seasonal snow; time series ... See more keywords
Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.07.004
Abstract: Abstract Landsat time series (LTS) enable the characterization of forest recovery post-disturbance over large areas; however, there is a gap in our current knowledge concerning the linkage between spectral measures of recovery derived from LTS… read more here.
Keywords: recovery; measures forest; landsat time; time series ... See more keywords
Prevalence of multiple forest disturbances and impact on vegetation regrowth from interannual Landsat time series (1985–2015)
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2019.111403
Abstract: Abstract Given long time series of satellite imagery, multiple disturbances can be detected for a particular location at different points in time. We assessed multiple disturbances for the 650 Mha of Canada's forested ecosystems using… read more here.
Keywords: time series; time; 1985 2015; disturbance ... See more keywords
Monitoring cropland abandonment with Landsat time series
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111873
Abstract: Abstract Cropland abandonment is a widespread land-use change, but it is difficult to monitor with remote sensing because it is often spatially dispersed, easily confused with spectrally similar land-use classes such as grasslands and fallow… read more here.
Keywords: cropland; time series; cropland abandonment; land use ... See more keywords
The NDVI-CV Method for Mapping Evergreen Trees in Complex Urban Areas Using Reconstructed Landsat 8 Time-Series Data
Sign Up to like & getrecommendations! Published in 2019 at "Forests"
DOI: 10.3390/f10020139
Abstract: Evergreen trees play a significant role in urban ecological services, such as air purification, carbon and oxygen balance, and temperature and moisture regulation. Remote sensing represents an essential technology for obtaining spatiotemporal distribution data for… read more here.
Keywords: landsat time; ndvi method; time series; evergreen trees ... See more keywords
Assessment of Forest Degradation in Vietnam Using Landsat Time Series Data
Sign Up to like & getrecommendations! Published in 2017 at "Forests"
DOI: 10.3390/f8070238
Abstract: Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our… read more here.
Keywords: forest degradation; series data; landsat time; time series ... See more keywords
Mapping disturbance and recovery of plantation forests in southern China using yearly Landsat time series observations
Sign Up to like & getrecommendations! Published in 2017 at "Acta Ecologica Sinica"
DOI: 10.5846/stxb201510142074
Abstract: Yearly Landsat imagery from 1986 to 2011 of a typical plantation region in Fogang County, Guangdong Province, southern China, was used as a case study. The pre⁃processing Landsat Ecosystem Disturbance and Adaptive Processing System (LEDPAS)… read more here.
Keywords: yearly landsat; plantation; southern china; disturbance ... See more keywords