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Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges
The compilation of global Landsat data-sets and the ever-lowering costs of computing now
make it feasible to monitor the Earth's land cover at Landsat resolutions of 30 m. In this …
make it feasible to monitor the Earth's land cover at Landsat resolutions of 30 m. In this …
GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery
Over past decades, a lot of global land-cover products have been released; however, these
still lack a global land-cover map with a fine classification system and spatial resolution …
still lack a global land-cover map with a fine classification system and spatial resolution …
Landsat 9: Empowering open science and applications through continuity
The history of Earth observation from space is well reflected through the Landsat program.
With data collection beginning with Landsat-1 in 1972, the program has evolved technical …
With data collection beginning with Landsat-1 in 1972, the program has evolved technical …
Urban impervious surface detection from remote sensing images: A review of the methods and challenges
Y Wang, M Li - IEEE Geoscience and Remote Sensing …, 2019 - ieeexplore.ieee.org
Urban impervious surface (UIS) offers potentially valuable information for the development
of sustainable urban management strategies and environmental change monitoring actions …
of sustainable urban management strategies and environmental change monitoring actions …
A dynamic Landsat derived normalized difference vegetation index (NDVI) product for the conterminous United States
Satellite derived vegetation indices (VIs) are broadly used in ecological research, ecosystem
modeling, and land surface monitoring. The Normalized Difference Vegetation Index (NDVI) …
modeling, and land surface monitoring. The Normalized Difference Vegetation Index (NDVI) …
A global, high-resolution (30-m) inland water body dataset for 2000: First results of a topographic–spectral classification algorithm
The science and management of terrestrial ecosystems require accurate, high-resolution
map** of surface water. We produced a global, 30-m-resolution inland surface water …
map** of surface water. We produced a global, 30-m-resolution inland surface water …
Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations
Vegetation indices are important remotely sensed metrics for ecosystem monitoring and
land surface process assessment, among which Normalized Difference Vegetation Index …
land surface process assessment, among which Normalized Difference Vegetation Index …
Employing remote sensing technique to monitor the influence of newly established universities in creating an urban development process on the respective cities
Universities have a wide range of effects on the development of the cities, economic growth
and socio-cultural structures of the communities. Accordingly, the Turkish government has …
and socio-cultural structures of the communities. Accordingly, the Turkish government has …
Field-level crop yield map** with Landsat using a hierarchical data assimilation approach
Spatially explicit information on crop yields is essential for farmers and agricultural agencies
to make well-informed decisions. One approach to estimate crop yield with remote sensing …
to make well-informed decisions. One approach to estimate crop yield with remote sensing …
Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products
Maintaining consistent datasets of Surface Reflectance (SR) is an important challenge to
ensure long-term quality of Climate Data Records. The Landsat 5 and 7 archives offer a …
ensure long-term quality of Climate Data Records. The Landsat 5 and 7 archives offer a …