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 …
Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study
Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …
Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data
M Battude, A Al Bitar, D Morin, J Cros, M Huc… - Remote Sensing of …, 2016 - Elsevier
This study aims at develo** a robust and generic methodology, based on the use of high
resolution remote sensing data to provide accurate estimates of maize biomass and yield …
resolution remote sensing data to provide accurate estimates of maize biomass and yield …
[HTML][HTML] Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring
Abstract The dynamics of Leaf Area Index (LAI) from space is key to identify crop types and
their phenology over large areas, and to characterize spatial variations within growers' …
their phenology over large areas, and to characterize spatial variations within growers' …
Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …
Soil moisture retrieval over irrigated grassland using X-band SAR data
The aim of this study was to develop an inversion approach to estimate surface soil moisture
from X-band SAR data over irrigated grassland areas. This approach simulates a coupling …
from X-band SAR data over irrigated grassland areas. This approach simulates a coupling …
Multi-crop green LAI estimation with a new simple Sentinel-2 LAI Index (SeLI)
The spatial quantification of green leaf area index (LAIgreen), the total green
photosynthetically active leaf area per ground area, is a crucial biophysical variable for …
photosynthetically active leaf area per ground area, is a crucial biophysical variable for …
Maize and sunflower biomass estimation in southwest France using high spatial and temporal resolution remote sensing data
The recent availability of high spatial and temporal resolution (HSTR) remote sensing data
(Formosat-2, and future missions of Venμs and Sentinel-2) offers new opportunities for crop …
(Formosat-2, and future missions of Venμs and Sentinel-2) offers new opportunities for crop …
[HTML][HTML] Effectiveness of predicting tunneling-induced ground settlements using machine learning methods with small datasets
Prediction of tunneling-induced ground settlements is an essential task, particularly for
tunneling in urban settings. Ground settlements should be limited within a tolerable …
tunneling in urban settings. Ground settlements should be limited within a tolerable …
Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization …
Timely and accurate estimation of winter wheat yield at a regional scale is crucial for
national food policy and security assessments. Near-infrared reflectance is not sensitive to …
national food policy and security assessments. Near-infrared reflectance is not sensitive to …