Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
Object detection and image segmentation with deep learning on Earth observation data: A review—Part II: Applications
In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …
investigating aggregated classes. The increase in data with a very high spatial resolution …
[HTML][HTML] Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
The identification of landslide-prone areas is an essential step in landslide hazard
assessment and mitigation of landslide-related losses. In this study, we applied two novel …
assessment and mitigation of landslide-related losses. In this study, we applied two novel …
Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection
There is a growing demand for detailed and accurate landslide maps and inventories
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images
For both the positive economic benefit and the negative ecological impact of the rapid
expansion of oil palm plantations in tropical developing countries, it is significant to achieve …
expansion of oil palm plantations in tropical developing countries, it is significant to achieve …
Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean
Coconut (Cocos nucifera L.) is one of the world's most economically important tree species,
and coconut palm plantations dominate many islands and tropical coastlines. However, the …
and coconut palm plantations dominate many islands and tropical coastlines. However, the …
Plant image recognition with deep learning: A review
Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …
years using deep learning, which has significantly exceeded previous methods. Deep …
Very high resolution object-based land use–land cover urban classification using extreme gradient boosting
In this letter, the recently developed extreme gradient boosting (Xgboost) classifier is
implemented in a very high resolution (VHR) object-based urban land use-land cover …
implemented in a very high resolution (VHR) object-based urban land use-land cover …
Identification of citrus trees from unmanned aerial vehicle imagery using convolutional neural networks
Remote sensing is important to precision agriculture and the spatial resolution provided by
Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for …
Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for …