An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
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 …
[HTML][HTML] Land cover classification using Google Earth Engine and random forest classifier—The role of image composition
TN Phan, V Kuch, LW Lehnert - Remote Sensing, 2020 - mdpi.com
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …
to political. Accurate information about land cover affects the accuracy of all subsequent …
[HTML][HTML] 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 …
[HTML][HTML] Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping
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 …
Evaluation of machine learning algorithms for forest stand species mapping 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 …
[HTML][HTML] FORCE—Landsat+ Sentinel-2 analysis ready data and beyond
D Frantz - Remote Sensing, 2019 - mdpi.com
Ever increasing data volumes of satellite constellations call for multi-sensor analysis ready
data (ARD) that relieve users from the burden of all costly preprocessing steps. This paper …
data (ARD) that relieve users from the burden of all costly preprocessing steps. This paper …
Crop type classification using a combination of optical and radar remote sensing data: A review
Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …
monitoring and food security assessment studies. For many years, crop type classification …
[HTML][HTML] Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects
Reliable identification of clouds is necessary for any type of optical remote sensing image
analysis, especially in operational and fully automatic setups. One of the most elaborated …
analysis, especially in operational and fully automatic setups. One of the most elaborated …
Remote sensing of forest insect disturbances: Current state and future directions
Insect disturbance are important agents of change in forest ecosystems around the globe,
yet their spatial and temporal distribution and dynamics are not well understood. Remote …
yet their spatial and temporal distribution and dynamics are not well understood. Remote …