[HTML][HTML] Vegetation coverage precisely extracting and driving factors analysis in drylands

H Wang, D Gui, Q Liu, X Feng, J Qu, J Zhao… - Ecological …, 2024 - Elsevier
Abstract Fractional Vegetation Coverage (FVC) is an essential indicator that captures
variations in vegetation and documents the impacts of climate change and human activity for …

Developing Spatial and Temporal Continuous Fractional Vegetation Cover Based on Landsat and Sentinel-2 Data with a Deep Learning Approach

Z Wang, DX Song, T He, J Lu, C Wang, D Zhong - Remote Sensing, 2023 - mdpi.com
Fractional vegetation cover (FVC) has a significant role in indicating changes in ecosystems
and is useful for simulating growth processes and modeling land surfaces. The fine …

A deep transfer learning method for estimating fractional vegetation cover of sentinel-2 multispectral images

R Yu, S Li, B Zhang, H Zhang - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Fractional vegetation cover (FVC) is an important indicator for exploring hydrosphere,
pedosphere, atmosphere, biosphere, and their interactions. Deep learning (DL) is a …

Landscape-level vegetation classification and fractional woody and herbaceous vegetation cover estimation over the dryland ecosystems by unmanned aerial vehicle …

H Wang, D Han, Y Mu, L Jiang, X Yao, Y Bai… - Agricultural and Forest …, 2019 - Elsevier
The change of fraction vegetation cover (FVC) is the key ecological index for vegetation
dynamics of dryland ecosystem. However, it is difficult to directly map woody vegetation and …

Applying deep-learning enhanced fusion methods for improved NDVI reconstruction and long-term vegetation cover study: A case of the Danjiang River Basin

S Wang, D Cui, L Wang, JY Peng - Ecological Indicators, 2023 - Elsevier
Abstract The Normalized Difference Vegetation Index (NDVI) is an essential metric in
vegetation monitoring for remote sensing applications. While there are numerous long-term …

The Retrieval of Forest and Grass Fractional Vegetation Coverage in Mountain Regions Based on Spatio-Temporal Transfer Learning

Y Huang, X Zhou, T Lv, Z Tao, H Zhang, R Li, M Zhai… - Remote Sensing, 2023 - mdpi.com
The vegetation cover of forests and grasslands in mountain regions plays a crucial role in
regulating climate at both regional and global scales. Thus, it is necessary to develop …

[HTML][HTML] Estimating fractional vegetation cover changes in desert regions using RGB data

L Xie, X Meng, X Zhao, L Fu, RP Sharma, H Sun - Remote Sensing, 2022 - mdpi.com
Fractional vegetation cover (FVC) is an important indicator of ecosystem changes. Both
satellite remote sensing and ground measurements are common methods for estimating …

Critical Analysis of Machine Learning Approaches for Vegetation Fractional Cover Estimation Using Drone and Sentinel-2 Data

AK Maurya, M Nadeem, D Singh… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The accuracy of estimated fractional vegetation cover (FVC) depends on selecting the best
suitable input features, precise ground information, and a prediction model. Therefore, in this …

Mapping Spatially Seamless Fractional Vegetation Cover over China at a 30-m Resolution and Semimonthly Intervals in 2010–2020 Based on Google Earth Engine

T Zhao, X Mu, W Song, Y Liu, Y Xie… - Journal of Remote …, 2023 - spj.science.org
Fractional vegetation cover (FVC) is a critical biophysical parameter that characterizes the
status of terrestrial ecosystems. The spatial resolutions of most existing FVC products are …

High Spatial Resolution Fractional Vegetation Coverage Inversion Based on UAV and Sentinel-2 Data: A Case Study of Alpine Grassland

G Zhong, J Chen, R Huang, S Yi, Y Qin, H You, X Han… - Remote Sensing, 2023 - mdpi.com
Fractional vegetation coverage (FVC) is an important indicator of ecosystem change. At
present, FVC products are mainly concentrated at low and medium spatial resolution and …