[HTML][HTML] Fifty years of Landsat science and impacts

MA Wulder, DP Roy, VC Radeloff, TR Loveland… - Remote Sensing of …, 2022 - Elsevier
Since 1972, the Landsat program has been continually monitoring the Earth, to now provide
50 years of digital, multispectral, medium spatial resolution observations. Over this time …

A systematic review of landsat data for change detection applications: 50 years of monitoring the earth

MA Hemati, M Hasanlou, M Mahdianpari… - Remote sensing, 2021 - mdpi.com
With uninterrupted space-based data collection since 1972, Landsat plays a key role in
systematic monitoring of the Earth's surface, enabled by an extensive and free …

Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

H Chu, X Luo, Z Ouyang, WS Chan, S Dengel… - Agricultural and Forest …, 2021 - Elsevier
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with
the eddy-covariance technique (eg, FLUXNET2015, AmeriFlux BASE) are widely used to …

Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances

E Omia, H Bae, E Park, MS Kim, I Baek, I Kabenge… - Remote Sensing, 2023 - mdpi.com
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

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 …

[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review

C Gómez, JC White, MA Wulder - ISPRS Journal of photogrammetry and …, 2016 - Elsevier
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 …

[HTML][HTML] Spatiotemporal fusion of multisource remote sensing data: Literature survey, taxonomy, principles, applications, and future directions

X Zhu, F Cai, J Tian, TKA Williams - Remote Sensing, 2018 - mdpi.com
Satellite time series with high spatial resolution is critical for monitoring land surface
dynamics in heterogeneous landscapes. Although remote sensing technologies have …

Land cover 2.0

MA Wulder, NC Coops, DP Roy, JC White… - … Journal of Remote …, 2018 - Taylor & Francis
Interest in knowing more about the Earth's land cover and how it has changed over time
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …

Developments in Landsat land cover classification methods: A review

D Phiri, J Morgenroth - Remote Sensing, 2017 - mdpi.com
Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …

A flexible spatiotemporal method for fusing satellite images with different resolutions

X Zhu, EH Helmer, F Gao, D Liu, J Chen… - Remote Sensing of …, 2016 - Elsevier
Studies of land surface dynamics in heterogeneous landscapes often require remote
sensing data with high acquisition frequency and high spatial resolution. However, no single …