Remote sensing of grassland production and management—A review
Grasslands cover one third of the earth's terrestrial surface and are mainly used for livestock
production. The usage type, use intensity and condition of grasslands are often unclear …
production. The usage type, use intensity and condition of grasslands are often unclear …
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 …
Estimation of crop growth parameters using UAV-based hyperspectral remote sensing data
Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the
assessment of crop growth, and are therefore important for agricultural management …
assessment of crop growth, and are therefore important for agricultural management …
The superiority of the normalized difference phenology index (NDPI) for estimating grassland aboveground fresh biomass
Accurate monitoring of grassland aboveground fresh biomass (called AGB in the study) and
its spatial-temporal dynamics is indispensable for sustainable grassland management. The …
its spatial-temporal dynamics is indispensable for sustainable grassland management. The …
A comparison of crop parameters estimation using images from UAV-mounted snapshot hyperspectral sensor and high-definition digital camera
Timely and accurate estimates of crop parameters are crucial for agriculture management.
Unmanned aerial vehicles (UAVs) carrying sophisticated cameras are very pertinent for this …
Unmanned aerial vehicles (UAVs) carrying sophisticated cameras are very pertinent for this …
Estimating natural grassland biomass by vegetation indices using Sentinel 2 remote sensing data
M Guerini Filho, TM Kuplich… - International Journal of …, 2020 - Taylor & Francis
Estimation of natural grassland biomass was carried out in a region located in the Brazilian
Pampa, using field and remote sensing data and statistical models. The study was …
Pampa, using field and remote sensing data and statistical models. The study was …
Predicting plant biomass and species richness in temperate grasslands across regions, time, and land management with remote sensing and deep learning
Spatial predictions of biomass production and biodiversity at regional scale in grasslands
are critical to evaluate the effects of management practices across environmental gradients …
are critical to evaluate the effects of management practices across environmental gradients …
[HTML][HTML] Global fuel moisture content map** from MODIS
Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver.
This study presents the first daily FMC product at a global scale and 500 m pixel resolution …
This study presents the first daily FMC product at a global scale and 500 m pixel resolution …
A hybrid model to predict nitrogen concentration in heterogeneous grassland using field spectroscopy
Field spectroscopy is a rapid and non-destructive tool used for the estimation of nitrogen
concentration (N%) of vegetation. Empirical and physically-based models are widely used …
concentration (N%) of vegetation. Empirical and physically-based models are widely used …
Comparison of winter wheat yield estimation based on near-surface hyperspectral and UAV hyperspectral remote sensing data
Crop yields are important for food security and people's living standards, and it is therefore
very important to predict the yield in a timely manner. This study used different vegetation …
very important to predict the yield in a timely manner. This study used different vegetation …