[HTML][HTML] Fifty years of Landsat science and impacts
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 …
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
[HTML][HTML] Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and map** of forest attributes. Airborne data are often …
have revolutionized measurement and map** of forest attributes. Airborne data are often …
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 …
Asymmetric influence of forest cover gain and loss on land surface temperature
The direct biophysical effects of fine-scale tree cover changes on temperature are not well
understood. Here, we show how land surface temperature responds to subgrid gross tree …
understood. Here, we show how land surface temperature responds to subgrid gross tree …
Remote sensing in forestry: current challenges, considerations and directions
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 …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
[HTML][HTML] Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover map**
Many applications that target dynamic land surface processes require a temporal
observation frequency that is not easily satisfied using data from a single optical sensor …
observation frequency that is not easily satisfied using data from a single optical sensor …
[HTML][HTML] Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve map** outcomes
Deriving land cover from remotely sensed data is fundamental to many operational map**
and reporting programs as well as providing core information to support science activities …
and reporting programs as well as providing core information to support science activities …
Land cover 2.0
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 …
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …
Evaluation of machine learning algorithms for forest stand species map** using Sentinel-2 imagery and environmental data in the Polish Carpathians
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
An enhanced pixel-based phenological feature for accurate paddy rice map** with Sentinel-2 imagery in Google Earth Engine
Accurate paddy rice map** with remote sensing at a regional scale plays critical roles in
agriculture and ecology. Previous studies mainly employed a single key phenological period …
agriculture and ecology. Previous studies mainly employed a single key phenological period …