[HTML][HTML] Crop monitoring by multimodal remote sensing: A review
Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …
[HTML][HTML] The spatial socio-technical potential of agrivoltaics in Germany
C Rösch, E Fakharizadehshirazi - Renewable and Sustainable Energy …, 2024 - Elsevier
Germany's goal of transitioning to renewable energy by 2045 presents a challenge of
increased land-use competition. Agrivoltaics is a promising solution to this dilemma and …
increased land-use competition. Agrivoltaics is a promising solution to this dilemma and …
Crop type classification by DESIS hyperspectral imagery and machine learning algorithms
N Farmonov, K Amankulova, J Szatmári… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Developments in space-based hyperspectral sensors, advanced remote sensing, and
machine learning can help crop yield measurement, modelling, prediction, and crop …
machine learning can help crop yield measurement, modelling, prediction, and crop …
Bridging optical and SAR satellite image time series via contrastive feature extraction for crop classification
Precise crop map** is crucial for guiding agricultural production, forecasting crop yield,
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …
Early-and in-season crop type map** 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 …
Maps of crop** patterns in China during 2015–2021
Multiple crop** is a widespread approach for intensifying crop production through
rotations of diverse crops. Maps of crop** intensity with crop descriptions are important for …
rotations of diverse crops. Maps of crop** intensity with crop descriptions are important for …
Crop classification based on phenology information by using time series of optical and synthetic-aperture radar images
Crop classification provides essential information for ensuring global food security, allowing
early crop monitoring practices and water irrigation management. Despite of high …
early crop monitoring practices and water irrigation management. Despite of high …
Automated in-season map** of winter wheat in China with training data generation and model transfer
Accurate and timely information on winter wheat spatial distribution is essential for food
security and environmental sustainability. However, high-quality nation-wide winter wheat …
security and environmental sustainability. However, high-quality nation-wide winter wheat …
Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Spatially explicit information on crop distribution is essential for market information, food
security, and agricultural sustainability. However, high-resolution crop maps are unavailable …
security, and agricultural sustainability. However, high-resolution crop maps are unavailable …
[HTML][HTML] National tree species map** using Sentinel-1/2 time series and German National Forest Inventory data
L Blickensdörfer, K Oehmichen, D Pflugmacher… - Remote Sensing of …, 2024 - Elsevier
Spatially explicit and detailed information on tree species composition is critical for forest
management, nature conservation and the assessment of forest ecosystem services. In …
management, nature conservation and the assessment of forest ecosystem services. In …