An overview of global leaf area index (LAI): Methods, products, validation, and applications

H Fang, F Baret, S Plummer… - Reviews of …, 2019 - Wiley Online Library
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 …

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 …

[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 …

[HTML][HTML] Current status of Landsat program, science, and applications

MA Wulder, TR Loveland, DP Roy, CJ Crawford… - Remote sensing of …, 2019 - Elsevier
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 …

[HTML][HTML] Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping

P Griffiths, C Nendel, P Hostert - Remote sensing of environment, 2019 - Elsevier
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 …

Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians

E Grabska, D Frantz, K Ostapowicz - Remote Sensing of Environment, 2020 - Elsevier
Abstract Information about forest stand species distribution is essential for biodiversity
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 …

Crop type classification using a combination of optical and radar remote sensing data: A review

A Orynbaikyzy, U Gessner, C Conrad - international journal of …, 2019 - Taylor & Francis
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 …

[HTML][HTML] Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects

D Frantz, E Haß, A Uhl, J Stoffels, J Hill - Remote sensing of environment, 2018 - Elsevier
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 …

Remote sensing of forest insect disturbances: Current state and future directions

C Senf, R Seidl, P Hostert - … journal of applied earth observation and …, 2017 - Elsevier
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 …