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] Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
Leaf area index (LAI) is a key parameter of vegetation structure in the fields of agriculture,
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …
Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system
Canopy height (H canopy) and aboveground biomass (AGB) of crops are two basic agro-
ecological indicators that can provide important indications on the growth, light use …
ecological indicators that can provide important indications on the growth, light use …
A review of methodologies and success indicators for coastal wetland restoration
Coastal wetlands are considered to be amongst the most productive ecosystems and can
provide invaluable ecological services. However, coastal wetlands are listed amongst the …
provide invaluable ecological services. However, coastal wetlands are listed amongst the …
[HTML][HTML] Site-based and remote sensing methods for monitoring indicators of vegetation condition: An Australian review
Native vegetation around the world is under threat from historical and ongoing clearance,
overgrazing, invasive species, increasing soil and water salinity, altered fire regimes, poor …
overgrazing, invasive species, increasing soil and water salinity, altered fire regimes, poor …
Estimation of LAI with the LiDAR technology: A review
Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices
G Shao, W Han, H Zhang, S Liu, Y Wang… - Agricultural Water …, 2021 - Elsevier
Rapid and accurate acquisition of crop coefficient (K c) values is essential for estimating field
crop evapotranspiration (ET). The lack of rapid access to the high-resolution spatial and …
crop evapotranspiration (ET). The lack of rapid access to the high-resolution spatial and …
Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation
Vegetation biomass is a key biophysical parameter for many ecological and environmental
models. The accurate estimation of biomass is essential for improving the accuracy and …
models. The accurate estimation of biomass is essential for improving the accuracy and …
In-field high-throughput phenotyping of cotton plant height using LiDAR
A LiDAR-based high-throughput phenotyping (HTP) system was developed for cotton plant
phenotyping in the field. The HTP system consists of a 2D LiDAR and an RTK-GPS mounted …
phenotyping in the field. The HTP system consists of a 2D LiDAR and an RTK-GPS mounted …
Comparison of leaf-off and leaf-on combined UAV imagery and airborne LiDAR for assessment of a post-mining site terrain and vegetation structure: Prospects for …
Mining is an important human activity that significantly affects the landscape character,
particularly through excavation of spoil material and its deposition on spoil banks. The …
particularly through excavation of spoil material and its deposition on spoil banks. The …