Remote sensing for agricultural applications: A meta-review
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …
for human livelihood. Today, this role must be satisfied within a context of environmental …
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 …
Leaf chlorophyll content as a proxy for leaf photosynthetic capacity
Improving the accuracy of estimates of forest carbon exchange is a central priority for
understanding ecosystem response to increased atmospheric CO 2 levels and improving …
understanding ecosystem response to increased atmospheric CO 2 levels and improving …
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
Grassland degradation has accelerated in recent decades in response to increased climate
variability and human activity. Rangeland and grassland conditions directly affect forage …
variability and human activity. Rangeland and grassland conditions directly affect forage …
Evolution of evapotranspiration models using thermal and shortwave remote sensing data
Evapotranspiration (ET) from the land surface is an important component of the terrestrial
hydrological cycle. Since the advent of Earth observation by satellites, various models have …
hydrological cycle. Since the advent of Earth observation by satellites, various models have …
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 …
Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.)
Abiotic stress can alter key physiological constituents and functions in green plants.
Improving the capacity to monitor this response in a non-destructive manner is of …
Improving the capacity to monitor this response in a non-destructive manner is of …
A visible band index for remote sensing leaf chlorophyll content at the canopy scale
ER Hunt Jr, PC Doraiswamy, JE McMurtrey… - International journal of …, 2013 - Elsevier
Leaf chlorophyll content is an important variable for agricultural remote sensing because of
its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was …
its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was …
Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and-3
ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for
Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing …
Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing …
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data
The identification of tree species is an important issue in forest management. In recent years,
many studies have explored this topic using hyperspectral, multispectral, and LiDAR data. In …
many studies have explored this topic using hyperspectral, multispectral, and LiDAR data. In …