Spaceborne imaging spectroscopy for sustainable agriculture: Contributions and challenges
Agriculture faces the challenge of providing food, fibre and energy from limited land
resources to satisfy the changing needs of a growing world population. Global megatrends …
resources to satisfy the changing needs of a growing world population. Global megatrends …
Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
The downside risk of crop production affects the entire supply chain of the agricultural
industry nationally and globally. This also has a profound impact on food security, and thus …
industry nationally and globally. This also has a profound impact on food security, and thus …
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 …
Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages
In the global context of population growth and climate change, monitoring crops is
necessary to sustain agriculture and conserve natural resources. While many studies have …
necessary to sustain agriculture and conserve natural resources. While many studies have …
A novel spectral index for automatic canola mapping by using sentinel-2 imagery
H Tian, T Chen, Q Li, Q Mei, S Wang, M Yang, Y Wang… - Remote Sensing, 2022 - mdpi.com
Because canola is a major oilseed crop, accurately determining its planting areas is crucial
for ensuring food security and achieving UN 2030 sustainable development goals. However …
for ensuring food security and achieving UN 2030 sustainable development goals. However …
Assessment of weed classification using hyperspectral reflectance and optimal multispectral UAV imagery
NN Che'Ya, E Dunwoody, M Gupta - Agronomy, 2021 - mdpi.com
Weeds compete with crops and are hard to differentiate and identify due to their similarities
in color, shape, and size. In this study, the weed species present in sorghum (sorghum …
in color, shape, and size. In this study, the weed species present in sorghum (sorghum …
Automatic canola mapping using time series of sentinel 2 images
Different techniques utilized for mapping various crops are mainly based on using training
dataset. But, due to difficulties of access to a well-represented training data, development of …
dataset. But, due to difficulties of access to a well-represented training data, development of …
Tradeoffs in the spatial and spectral resolution of airborne hyperspectral imaging systems: A crop identification case study
Airborne hyperspectral images are used for crop identification with a high classification
accuracy because of their high spectral resolution, spatial resolution, and signal-to-noise …
accuracy because of their high spectral resolution, spatial resolution, and signal-to-noise …
Applications of low altitude remote sensing in agriculture upon farmers' requests–a case study in northeastern Ontario, Canada
With the growth of the low altitude remote sensing (LARS) industry in recent years, their
practical application in precision agriculture seems all the more possible. However, only a …
practical application in precision agriculture seems all the more possible. However, only a …
[PDF][PDF] RapidEye 卫星红边波段对农作物面积提取精度的影响
刘佳， 王利民， 滕飞， 杨玲波， 高建孟， 姚保民， 杨福刚 - 农业工程学报, 2016 - iarrp.cn
在传统的可见光与红外波段基础上增加红边波段(690~ 730 nm), 是当前高分辨卫星传感器研制
的明显趋势. 德国RapidEye 卫星携带有红边波段传感器, 该文基于黑龙江省北安市东胜乡2014 …
的明显趋势. 德国RapidEye 卫星携带有红边波段传感器, 该文基于黑龙江省北安市东胜乡2014 …