[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 …
Mapping tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data
Detailed information on spatial patterns of tree species diversity (TSD) is essential for
biodiversity assessment, forest disturbance monitoring, and the management and …
biodiversity assessment, forest disturbance monitoring, and the management and …
Automated in-season mapping 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 …
[HTML][HTML] Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin
Cashews are grown by over 3 million smallholder farmers in> 40 countries worldwide as a
principal source of income. Expanding the area of cashew plantations and increasing …
principal source of income. Expanding the area of cashew plantations and increasing …
Smallholder crop type mapping and rotation monitoring in mountainous areas with Sentinel-1/2 imagery
Accurate and timely crop type mapping and rotation monitoring play a critical role in crop
yield estimation, soil management, and food supplies. To date, to our knowledge, accurate …
yield estimation, soil management, and food supplies. To date, to our knowledge, accurate …
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning
Deep learning and computer vision, using remote sensing and drones, are 2 promising
nondestructive methods for plant monitoring and phenotyping. However, their applications …
nondestructive methods for plant monitoring and phenotyping. However, their applications …
[HTML][HTML] The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research
Y Xiao, Z Zhao, J Huang, R Huang, W Weng… - International Journal of …, 2024 - Elsevier
In remote sensing mapping studies, selecting an appropriate test set to accurately evaluate
the results is critical. An imprecise accuracy assessment can be misleading and fail to …
the results is critical. An imprecise accuracy assessment can be misleading and fail to …
High-resolution global mature and young oil palm plantation subclass maps for 2020
Accurate high-resolution maps of oil palm plantations underpin effective management of
environmental and socio-economic impacts at global, regional, and national levels …
environmental and socio-economic impacts at global, regional, and national levels …
Identifying coffee agroforestry system types using multitemporal sentinel-2 data and auxiliary information
A Escobar-López, MÁ Castillo-Santiago… - Remote Sensing, 2022 - mdpi.com
Coffee is one of the most important agricultural commodities of Mexico. Mapping coffee land
cover is still a challenge because it is grown mainly on small areas in agroforestry systems …
cover is still a challenge because it is grown mainly on small areas in agroforestry systems …
Monitoring tropical forest change using tree canopy cover time series obtained from Sentinel-1 and Sentinel-2 data
The most practical method for monitoring forest change over large areas is using remotely
sensed data. However, given that current techniques are somewhat weak for monitoring …
sensed data. However, given that current techniques are somewhat weak for monitoring …