[HTML][HTML] Crop monitoring by multimodal remote sensing: A review

P Karmakar, SW Teng, M Murshed, S Pang, Y Li… - Remote Sensing …, 2024 - Elsevier
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 …

Change detection of multisource remote sensing images: a review

W Jiang, Y Sun, L Lei, G Kuang, K Ji - International Journal of …, 2024 - Taylor & Francis
Change detection (CD) is essential in remote sensing (RS) for natural resource monitoring,
territorial planning, and disaster assessment. With the abundance of data collected by …

Can yield prediction be fully digitilized? A systematic review

N Darra, E Anastasiou, O Kriezi, E Lazarou, D Kalivas… - Agronomy, 2023 - mdpi.com
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

MP-Net: An efficient and precise multi-layer pyramid crop classification network for remote sensing images

C Xu, M Gao, J Yan, Y **, G Yang, W Wu - Computers and Electronics in …, 2023 - Elsevier
Accurate crop classification map is of great significance in various fields such as the survey
of agricultural resource, the analysis of existing circumstance on land application, the yield …

Enhancing FAIR data services in agricultural disaster: A review

L Hu, C Zhang, M Zhang, Y Shi, J Lu, Z Fang - Remote Sensing, 2023 - mdpi.com
The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …

A multi-scale semantic feature fusion method for remote sensing crop classification

X Huang, H Wang, X Li - Computers and Electronics in Agriculture, 2024 - Elsevier
The efficient and accurate acquisition of crop spatial planting structure information is of great
significance to ensure national food security. Current crop classification studies have still not …

UAS-based remote sensing for agricultural Monitoring: Current status and perspectives

J Wang, S Zhang, I Lizaga, Y Zhang, X Ge… - … and Electronics in …, 2024 - Elsevier
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …

Comprehensive growth monitoring index using Sentinel-2A data for large-scale cotton production

H Wang, Q Yao, Z Zhang, S Qin, L Ma, X Lv… - Field Crops Research, 2024 - Elsevier
Problem Timely and accurate plant growth monitoring is crucial for precision crop
management. Traditional remote sensing methods use a single agronomic parameter to …

Estimating GDP by fusing nighttime light and land cover data

N Xu, S Zhang, S Jiang - Canadian Journal of Remote Sensing, 2024 - Taylor & Francis
Accurate information on gross domestic product (GDP) is essential for better understanding
the dynamics of regional economies and urbanization processes. Satellite based nighttime …

SSGAN: Cloud removal in satellite images using spatiospectral generative adversarial network

S Ghildiyal, N Goel, S Singh, S Lal, R Kawsar… - European Journal of …, 2024 - Elsevier
Satellite data's reliability, uniformity, and global scanning capabilities have revolutionized
agricultural monitoring and crop management. However, the presence of clouds in satellite …