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 …
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
A systematic review on advancements in remote sensing for assessing and monitoring land use and land cover changes impacts on surface water resources in semi …
This study aimed to provide a systematic overview of the progress made in utilizing remote
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
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 …
Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning
H Zha, Y Miao, T Wang, Y Li, J Zhang, W Sun, Z Feng… - Remote Sensing, 2020 - mdpi.com
Optimizing nitrogen (N) management in rice is crucial for China's food security and
sustainable agricultural development. Nondestructive crop growth monitoring based on …
sustainable agricultural development. Nondestructive crop growth monitoring based on …
Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models
Mangroves are one of the most important coastal wetland ecosystems, and the compositions
and distributions of mangrove species are essential for conservation and restoration efforts …
and distributions of mangrove species are essential for conservation and restoration efforts …
Combining color indices and textures of UAV-based digital imagery for rice LAI estimation
Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …
Machine learning to estimate surface soil moisture from remote sensing data
H Adab, R Morbidelli, C Saltalippi, M Moradian… - Water, 2020 - mdpi.com
Soil moisture is an integral quantity parameter in hydrology and agriculture practices.
Satellite remote sensing has been widely applied to estimate surface soil moisture …
Satellite remote sensing has been widely applied to estimate surface soil moisture …
Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield,
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
Monitoring within-field variability of corn yield using Sentinel-2 and machine learning techniques
Monitoring and prediction of within-field crop variability can support farmers to make the right
decisions in different situations. The current advances in remote sensing and the availability …
decisions in different situations. The current advances in remote sensing and the availability …