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Towards the fully automated monitoring of ecological communities
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …
global change and biodiversity declines. While real‐time and automated monitoring of …
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …
Remote sensing (RS) systems are being more widely used in building decision support tools …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
[HTML][HTML] Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
During the last two decades, forest monitoring and inventory systems have moved from field
surveys to remote sensing-based methods. These methods tend to focus on economically …
surveys to remote sensing-based methods. These methods tend to focus on economically …
Explainable identification and map** of trees using UAV RGB image and deep learning
M Onishi, T Ise - Scientific reports, 2021 - nature.com
The identification and map** of trees via remotely sensed data for application in forest
management is an active area of research. Previously proposed methods using airborne …
management is an active area of research. Previously proposed methods using airborne …
Review of studies on tree species classification from remotely sensed data
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …
plantations and urban vegetation provides valuable information for nature conservationists …
Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future …
Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …
structure variables in various disciplines and applications. Ground-and aerial-based …
[HTML][HTML] Monitoring and map** vegetation cover changes in arid and semi-arid areas using remote sensing technology: A review
Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …
quality. It can accurately reflect changes in hydrology, climate, and human activities …
Building extraction in very high resolution remote sensing imagery using deep learning and guided filters
Y Xu, L Wu, Z ** using the Sentinel-2 time series
Accurate information regarding forest tree species composition is useful for a wide range of
applications, both for forest management and scientific research. Remote sensing is an …
applications, both for forest management and scientific research. Remote sensing is an …