[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 …

Sentinel-2 data for land cover/use map**: A review

D Phiri, M Simwanda, S Salekin, VR Nyirenda… - Remote Sensing, 2020 - mdpi.com
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …

High-resolution map** of losses and gains of Earth's tidal wetlands

NJ Murray, TA Worthington, P Bunting, S Duce… - Science, 2022 - science.org
Tidal wetlands are expected to respond dynamically to global environmental change, but the
extent to which wetland losses have been offset by gains remains poorly understood. We …

An overview of the applications of earth observation satellite data: impacts and future trends

Q Zhao, L Yu, Z Du, D Peng, P Hao, Y Zhang, P Gong - Remote Sensing, 2022 - mdpi.com
As satellite observation technology develops and the number of Earth observation (EO)
satellites increases, satellite observations have become essential to developments in the …

Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States

J Wickham, SV Stehman, DG Sorenson, L Gass… - Remote Sensing of …, 2021 - Elsevier
Abstract The National Land Cover Database (NLCD) is an operational land cover monitoring
program providing updated land cover and related information for the United States at five …

The Harmonized Landsat and Sentinel-2 surface reflectance data set

M Claverie, J Ju, JG Masek, JL Dungan… - Remote sensing of …, 2018 - Elsevier
Abstract The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming
to produce a Virtual Constellation (VC) of surface reflectance (SR) data acquired by the …

Conterminous United States land cover change patterns 2001–2016 from the 2016 national land cover database

C Homer, J Dewitz, S **, G **an, C Costello… - ISPRS Journal of …, 2020 - Elsevier
Abstract The 2016 National Land Cover Database (NLCD) product suite (available on www.
mrlc. gov), includes Landsat-based, 30 m resolution products over the conterminous …

Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery

P Thanh Noi, M Kappas - Sensors, 2017 - mdpi.com
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …

Remote sensing in forestry: current challenges, considerations and directions

FE Fassnacht, JC White, MA Wulder… - … An International Journal …, 2024 - academic.oup.com
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …

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 …