A review of imaging techniques for plant phenoty**
L Li, Q Zhang, D Huang - Sensors, 2014 - mdpi.com
Given the rapid development of plant genomic technologies, a lack of access to plant
phenoty** capabilities limits our ability to dissect the genetics of quantitative traits …
phenoty** capabilities limits our ability to dissect the genetics of quantitative traits …
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …
planned imaging spectrometers, will unleash an unprecedented data stream. The …
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data
Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …
photosynthetic productivity estimation and crop growth monitoring in agricultural …
Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
The saturation of spectral reflectance within densely vegetated regions is a renowned
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Evaluation of sentinel-2 red-edge bands for empirical estimation of green LAI and chlorophyll content
ESA's upcoming satellite Sentinel-2 will provide Earth images of high spatial, spectral and
temporal resolution and aims to ensure continuity for Landsat and SPOT observations. In …
temporal resolution and aims to ensure continuity for Landsat and SPOT observations. In …
Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models
Correct estimation of above-ground biomass (AGB) is necessary for accurate crop growth
monitoring and yield prediction. We estimated AGB based on images obtained with a …
monitoring and yield prediction. We estimated AGB based on images obtained with a …
Proximal remote sensing buggies and potential applications for field-based phenoty**
The achievements made in genomic technology in recent decades are yet to be matched by
fast and accurate crop phenoty** methods. Such crop phenoty** methods are required …
fast and accurate crop phenoty** methods. Such crop phenoty** methods are required …
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 …
[HTML][HTML] Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data
X Meng, Y Bao, J Liu, H Liu, X Zhang, Y Zhang… - International Journal of …, 2020 - Elsevier
Most studies have the achieved rapid and accurate determination of soil organic carbon
(SOC) using laboratory spectroscopy; however, it remains difficult to map the spatial …
(SOC) using laboratory spectroscopy; however, it remains difficult to map the spatial …