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Remote sensing for precision agriculture: Sentinel-2 improved features and applications
The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …
attention. The improved temporal, spatial, and spectral resolution of the European Space …
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 …
[HTML][HTML] A review of remote sensing for mangrove forests: 1956–2018
Mangrove forests are highly productive ecosystems that typically dominate the intertidal
zone of tropical and subtropical coastlines. The history of mangrove remote sensing (RS) …
zone of tropical and subtropical coastlines. The history of mangrove remote sensing (RS) …
Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Fast automatic precision tree models from terrestrial laser scanner data
P Raumonen, M Kaasalainen, M Åkerblom… - Remote Sensing, 2013 - mdpi.com
This paper presents a new method for constructing quickly and automatically precision tree
models from point clouds of the trunk and branches obtained by terrestrial laser scanning …
models from point clouds of the trunk and branches obtained by terrestrial laser scanning …
LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes
Terrestrial laser scanning for plot-scale forest measurement
Plot-scale measurements have been the foundation for forest surveys and reporting for over
200 years. Through recent integration with airborne and satellite remote sensing, manual …
200 years. Through recent integration with airborne and satellite remote sensing, manual …
Leaf and wood classification framework for terrestrial LiDAR point clouds
Leaf and wood separation is a key step to allow a new range of estimates from Terrestrial
LiDAR data, such as quantifying above‐ground biomass, leaf and wood area and their 3D …
LiDAR data, such as quantifying above‐ground biomass, leaf and wood area and their 3D …
Comparing and combining data-driven and model-driven approaches to monitor wheat green area index with high spatio-temporal resolution satellites
Monitoring crops with high spatio-temporal resolution satellites provides valuable
observations to ensure food security in the global change context. This study focuses on …
observations to ensure food security in the global change context. This study focuses on …