A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …
growth of food production to meet the needs of the growing population. However, the limited …
Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review
L Gao, X Wang, BA Johnson, Q Tian, Y Wang… - ISPRS Journal of …, 2020 - Elsevier
Green fractional vegetation cover (fc) is an important phenotypic factor in the fields of
agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation …
agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation …
[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
L Qiao, W Tang, D Gao, R Zhao, L An, M Li… - … and electronics in …, 2022 - Elsevier
Efficiently estimating chlorophyll content is important in monitoring the photosynthesis
capacity and growth status of maize canopy in precision agriculture management …
capacity and growth status of maize canopy in precision agriculture management …
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion
Background Leaf chlorophyll content plays an important role in indicating plant stresses and
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …
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 …
[HTML][HTML] A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks
Satellite-retrieved solar-induced chlorophyll fluorescence (SIF) has shown great potential to
monitor the photosynthetic activity of terrestrial ecosystems. However, several issues …
monitor the photosynthetic activity of terrestrial ecosystems. However, several issues …
Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning
Alfalfa is a valuable and intensively produced forage crop in the United States, and the
timely estimation of its yield can inform precision management decisions. However …
timely estimation of its yield can inform precision management decisions. However …
Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index
We present the first comparison of Sentinel-2A (S2) MSI (Multi-Spectral Instrument) and
Landsat 8 (L8) OLI (Operational Land Imager) data in the retrieval of forest canopy cover …
Landsat 8 (L8) OLI (Operational Land Imager) data in the retrieval of forest canopy cover …
Assessment of red-edge vegetation indices for crop leaf area index estimation
This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI)
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …