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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 …
Development of forest aboveground biomass estimation, its problems and future solutions: A review
T Ma, C Zhang, L Ji, Z Zuo, M Beckline, Y Hu, X Li… - Ecological …, 2024 - Elsevier
Forest aboveground biomass (AGB) is crucial as it serves as a fundamental indicator of the
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …
Advances in spaceborne hyperspectral remote sensing in China
With the maturation of satellite technology, Hyperspectral Remote Sensing (HRS) platforms
have developed from the initial ground-based and airborne platforms into spaceborne …
have developed from the initial ground-based and airborne platforms into spaceborne …
Exploitation of time series sentinel-2 data and different machine learning algorithms for detailed tree species classification
Y ** the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya
Some invasive tree species threaten biodiversity and cause irreversible damage to global
ecosystems. The key to controlling and monitoring the propagation of invasive tree species …
ecosystems. The key to controlling and monitoring the propagation of invasive tree species …
A review: Tree species classification based on remote sensing data and classic deep learning-based methods
L Zhong, Z Dai, P Fang, Y Cao, L Wang - Forests, 2024 - mdpi.com
Timely and accurate information on tree species is of great importance for the sustainable
management of natural resources, forest inventory, biodiversity detection, and carbon stock …
management of natural resources, forest inventory, biodiversity detection, and carbon stock …
[HTML][HTML] Map** plastic greenhouses with two-temporal sentinel-2 images and 1d-cnn deep learning
H Sun, L Wang, R Lin, Z Zhang, B Zhang - Remote Sensing, 2021 - mdpi.com
Plastic greenhouses (PGs) are widely built near cities in China to produce vegetables and
fruits. In order to promote sustainable agriculture, rural landscape construction, and better …
fruits. In order to promote sustainable agriculture, rural landscape construction, and better …
Synergetic classification of coastal wetlands over the Yellow River Delta with GF-3 full-polarization SAR and Zhuhai-1 OHS hyperspectral remote sensing
The spatial distribution of coastal wetlands affects their ecological functions. Wetland
classification is a challenging task for remote sensing research due to the similarity of …
classification is a challenging task for remote sensing research due to the similarity of …
[HTML][HTML] Identification of bamboo species based on Extreme Gradient Boosting (XGBoost) using Zhuhai-1 orbita hyperspectral remote sensing imagery
G Zhou, Z Ni, Y Zhao, J Luan - Sensors, 2022 - mdpi.com
Map** the distribution of bamboo species is vital for the sustainable management of
bamboo and for assessing its ecological and socioeconomic value. However, the spectral …
bamboo and for assessing its ecological and socioeconomic value. However, the spectral …