Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems
Wet grasslands are crucial components of terrestrial ecosystems, known for their biodiversity and provision of ecosystem services such as flood attenuation and carbon sequestration. Given their ecological significance, monitoring biodiversity within these landscapes is of utmost importance for effec...
| Published in: | Ecological Informatics |
|---|---|
| Main Authors: | Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Murilo dos Santos Vianna, Dominik Behrend, Hubert Hueging, Inga Schleip, Paul Mosebach, Almut Haub, Axel Behrendt, Thomas Gaiser |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
|
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124003558 |
Similar Items
Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning
by: Ulrike Lussem, et al.
Published: (2022-06-01)
by: Ulrike Lussem, et al.
Published: (2022-06-01)
Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types
by: Riyaaz Uddien Shaik, et al.
Published: (2023-04-01)
by: Riyaaz Uddien Shaik, et al.
Published: (2023-04-01)
Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery
by: Hongquan Wang, et al.
Published: (2024-09-01)
by: Hongquan Wang, et al.
Published: (2024-09-01)
Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery
by: Lucy G. Poley, et al.
Published: (2020-07-01)
by: Lucy G. Poley, et al.
Published: (2020-07-01)
Correction of UAV LiDAR-derived grassland canopy height based on scan angle
by: Cong Xu, et al.
Published: (2023-03-01)
by: Cong Xu, et al.
Published: (2023-03-01)
UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield
by: Shubham Subrot Panigrahi, et al.
Published: (2025-06-01)
by: Shubham Subrot Panigrahi, et al.
Published: (2025-06-01)
Integrating Drone-Based LiDAR and Multispectral Data for Tree Monitoring
by: Beatrice Savinelli, et al.
Published: (2024-12-01)
by: Beatrice Savinelli, et al.
Published: (2024-12-01)
Evaluating the reliability of bi-temporal canopy height model generated from airborne laser scanning for monitoring forest growth in boreal forest region
by: Zhexiu Yu, et al.
Published: (2024-12-01)
by: Zhexiu Yu, et al.
Published: (2024-12-01)
A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV
by: Clara Oliva Gonçalves Bazzo, et al.
Published: (2023-01-01)
by: Clara Oliva Gonçalves Bazzo, et al.
Published: (2023-01-01)
Cover Crop Types Influence Biomass Estimation Using Unmanned Aerial Vehicle-Mounted Multispectral Sensors
by: Sk Musfiq Us Salehin, et al.
Published: (2025-04-01)
by: Sk Musfiq Us Salehin, et al.
Published: (2025-04-01)
Prediction of canopy mean traits in herbaceous plants by the UAV multispectral data: The quest for a better leaf-to-canopy upscaling method
by: Yuanqi Shan, et al.
Published: (2025-07-01)
by: Yuanqi Shan, et al.
Published: (2025-07-01)
Exploring the Relationship between Forest Canopy Height and Canopy Density from Spaceborne LiDAR Observations
by: Heather Kay, et al.
Published: (2021-12-01)
by: Heather Kay, et al.
Published: (2021-12-01)
Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands
by: Deepak H. Basavegowda, et al.
Published: (2024-09-01)
by: Deepak H. Basavegowda, et al.
Published: (2024-09-01)
Estimation of Grassland Canopy Height and Aboveground Biomass at the Quadrat Scale Using Unmanned Aerial Vehicle
by: Huifang Zhang, et al.
Published: (2018-05-01)
by: Huifang Zhang, et al.
Published: (2018-05-01)
Improving the estimation of rice above-ground biomass based on spatio-temporal UAV imagery and phenological stages
by: Yan Dai, et al.
Published: (2024-05-01)
by: Yan Dai, et al.
Published: (2024-05-01)
Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland
by: Xiang Zhang, et al.
Published: (2021-02-01)
by: Xiang Zhang, et al.
Published: (2021-02-01)
Leaf Area Index Estimation of Fully and Deficit Irrigated Alfalfa through Canopy Cover and Canopy Height
by: Uriel Cholula, et al.
Published: (2024-07-01)
by: Uriel Cholula, et al.
Published: (2024-07-01)
Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed
by: Vítězslav Moudrý, et al.
Published: (2024-10-01)
by: Vítězslav Moudrý, et al.
Published: (2024-10-01)
An Improved LAI Estimation Method Incorporating with Growth Characteristics of Field-Grown Wheat
by: Zhuo Lu, et al.
Published: (2022-08-01)
by: Zhuo Lu, et al.
Published: (2022-08-01)
Canopy Height Mapping by Sentinel 1 and 2 Satellite Images, Airborne LiDAR Data, and Machine Learning
by: Catherine Torres de Almeida, et al.
Published: (2022-08-01)
by: Catherine Torres de Almeida, et al.
Published: (2022-08-01)
Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height, and Cover from High-Resolution, Multi-Sensor Satellite Imagery
by: Manuel Weber, et al.
Published: (2025-04-01)
by: Manuel Weber, et al.
Published: (2025-04-01)
Critical interpretation and analysis to correlate the canopy height to collector diameter ratio for optimized design of solar chimney power plants
by: Iylia Elena Abdul Jamil, et al.
Published: (2024-01-01)
by: Iylia Elena Abdul Jamil, et al.
Published: (2024-01-01)
Forest canopy height mapping using ICESat-2 data to aid forest management in a Canadian Arctic community: A case study of Kluane First Nation, Yukon, Canada
by: Ravi Darwin Sankar, et al.
Published: (2025-03-01)
by: Ravi Darwin Sankar, et al.
Published: (2025-03-01)
Estimation of Forest Canopy Height Using ATLAS Data Based on Improved Optics and EEMD Algorithms
by: Guanran Wang, et al.
Published: (2025-03-01)
by: Guanran Wang, et al.
Published: (2025-03-01)
20th‐Century hurricanes leave long‐lasting legacies on tropical forest height and the abundance of a dominant wind‐resistant palm
by: María Uriarte, et al.
Published: (2023-11-01)
by: María Uriarte, et al.
Published: (2023-11-01)
The Effects of Several Forms of Leaf Area Management and Different canopy heights with vertical shoot positioning on Berry Ripening and Wine Quality
by: Florian Haas, et al.
Published: (2024-04-01)
by: Florian Haas, et al.
Published: (2024-04-01)
Forest drought resistance distinguished by canopy height
by: Peipei Xu, et al.
Published: (2018-01-01)
by: Peipei Xu, et al.
Published: (2018-01-01)
Weather variables, water balance, growth, and agro industrial yield of sugarcane
by: IÊDO TEODORO, et al.
Published: (2015-02-01)
by: IÊDO TEODORO, et al.
Published: (2015-02-01)
Morphological adaptations of signal grass in response to liming and cutting severities
by: Lilian Elgalise Techio Pereira, et al.
by: Lilian Elgalise Techio Pereira, et al.
A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery
by: Zhen-qi LIAO, et al.
Published: (2023-07-01)
by: Zhen-qi LIAO, et al.
Published: (2023-07-01)
Winter Wheat Canopy Height Estimation Based on the Fusion of LiDAR and Multispectral Data
by: Hao Ma, et al.
Published: (2025-04-01)
by: Hao Ma, et al.
Published: (2025-04-01)
Ensemble Machine Learning for Mapping Tree Species Alpha-Diversity Using Multi-Source Satellite Data in an Ecuadorian Seasonally Dry Forest
by: Steven E. Sesnie, et al.
Published: (2023-01-01)
by: Steven E. Sesnie, et al.
Published: (2023-01-01)
Prediction of vertical distribution of SPAD values within maize canopy based on unmanned aerial vehicles multispectral imagery
by: Bo Chen, et al.
Published: (2023-12-01)
by: Bo Chen, et al.
Published: (2023-12-01)
Sugarcane Nitrogen Concentration and Irrigation Level Prediction Based on UAV Multispectral Imagery
by: Xiuhua Li, et al.
Published: (2022-04-01)
by: Xiuhua Li, et al.
Published: (2022-04-01)
Research on Estimating Rice Canopy Height and LAI Based on LiDAR Data
by: Linlong Jing, et al.
Published: (2023-10-01)
by: Linlong Jing, et al.
Published: (2023-10-01)
What Is the Most Suitable Height Range of ALS Point Cloud and LiDAR Metric for Understorey Analysis? A Study Case in a Mixed Deciduous Forest, Pokupsko Basin, Croatia
by: Saray Martín-García, et al.
Published: (2022-04-01)
by: Saray Martín-García, et al.
Published: (2022-04-01)
Synergy of UAV-LiDAR Data and Multispectral Remote Sensing Images for Allometric Estimation of Phragmites Australis Aboveground Biomass in Coastal Wetland
by: Chentian Ge, et al.
Published: (2024-08-01)
by: Chentian Ge, et al.
Published: (2024-08-01)
Monitoring habitat diversity with PRISMA hyperspectral and lidar-derived data in Natura 2000 sites: Case study from a Mediterranean forest
by: Gaia Vaglio Laurin, et al.
Published: (2025-03-01)
by: Gaia Vaglio Laurin, et al.
Published: (2025-03-01)
ForestSplat: Proof-of-Concept for a Scalable and High-Fidelity Forestry Mapping Tool Using 3D Gaussian Splatting
by: Belal Shaheen, et al.
Published: (2025-03-01)
by: Belal Shaheen, et al.
Published: (2025-03-01)
High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA
by: Sungchan Oh, et al.
Published: (2022-02-01)
by: Sungchan Oh, et al.
Published: (2022-02-01)
Similar Items
-
Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning
by: Ulrike Lussem, et al.
Published: (2022-06-01) -
Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types
by: Riyaaz Uddien Shaik, et al.
Published: (2023-04-01) -
Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery
by: Hongquan Wang, et al.
Published: (2024-09-01) -
Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery
by: Lucy G. Poley, et al.
Published: (2020-07-01) -
Correction of UAV LiDAR-derived grassland canopy height based on scan angle
by: Cong Xu, et al.
Published: (2023-03-01)
