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 …
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 …
Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data
Accurate and timely monitoring of flooded crop areas is crucial for disaster rescue and loss
assessment. However, most flooded crop monitoring methods based on synthetic aperture …
assessment. However, most flooded crop monitoring methods based on synthetic aperture …
High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …
increase in population over the coming decades as well as the effects of anticipated climate …
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
Timely and accurate information on crop planting areas is critical for estimating crop
production, and earlier crop mapping can benefit decision-making related to crop insurance …
production, and earlier crop mapping can benefit decision-making related to crop insurance …
Rapid early-season maize mapping without crop labels
Maize (Zea mays), the second most-produced crop worldwide, serves as the cornerstone for
global food security and human livelihood. Early-season maize mapping benefits maize …
global food security and human livelihood. Early-season maize mapping benefits maize …
Pre-and within-season crop type classification trained with archival land cover information
DM Johnson, R Mueller - Remote Sensing of Environment, 2021 - Elsevier
Crop type maps were created without the traditional need for in-season training data across
the Corn Belt and Great Plains regions of the United States. This was accomplished through …
the Corn Belt and Great Plains regions of the United States. This was accomplished through …
Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices
In the present study, multiple linear regression models were constructed to simulate the yield
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …
[HTML][HTML] Early-season mapping of winter crops using sentinel-2 optical imagery
H Tian, Y Wang, T Chen, L Zhang, Y Qin - Remote Sensing, 2021 - mdpi.com
Sentinel-2 imagery is an unprecedented data source with high spatial, spectral and temporal
resolution in addition to free access. The objective of this paper was to evaluate the potential …
resolution in addition to free access. The objective of this paper was to evaluate the potential …
Early-and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach
Land cover classification in remote sensing is often faced with the challenge of limited
ground truth labels. Incorporating historical ground information has the potential to …
ground truth labels. Incorporating historical ground information has the potential to …