Forest Structure Characterization in Germany: Novel Products and Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data

Forest Structure Characterization in Germany: Novel Products and Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data

Monitoring forest conditions is an essential task in the context of global climate change to preserve biodiversity, protect carbon sinks and foster future forest resilience. Severe impacts of heatwaves and droughts triggering cascading effects such as insect infestation are challenging the semi-natu...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính:	Patrick Kacic, Frank Thonfeld, Ursula Gessner, Claudia Kuenzer
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	MDPI AG 2023-04-01
Loạt:	Remote Sensing
Những chủ đề:	forest forest structure Germany canopy height Global Ecosystem Dynamics Investigation GEDI Sentinel-1
Truy cập trực tuyến:	https://www.mdpi.com/2072-4292/15/8/1969

Những quyển sách tương tự

High-Resolution Canopy Height Mapping: Integrating NASA’s Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data
Bằng: Cesar Alvites, et al.
Được phát hành: (2024-04-01)

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
Bằng: Martin Schwartz, et al.
Được phát hành: (2024-04-01)

Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process
Bằng: David Morin, et al.
Được phát hành: (2022-04-01)

Estimating vegetation structure and aboveground carbon storage in Western Australia using GEDI LiDAR, Landsat and Sentinel data
Bằng: Natasha Lutz, et al.
Được phát hành: (2024-01-01)

Upscaling Forest Canopy Height Estimation Using Waveform-Calibrated GEDI Spaceborne LiDAR and Sentinel-2 Data
Bằng: Junjie Wang, et al.
Được phát hành: (2024-06-01)

Comparison of GEDI LiDAR Data Capability for Forest Canopy Height Estimation over Broadleaf and Needleleaf Forests
Bằng: Manizheh Rajab Pourrahmati, et al.
Được phát hành: (2023-03-01)

Tropical Forest Top Height by GEDI: From Sparse Coverage to Continuous Data
Bằng: Yen-Nhi Ngo, et al.
Được phát hành: (2023-02-01)

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR
Bằng: Esmaeel Adrah, et al.
Được phát hành: (2022-07-01)

Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery
Bằng: Chunying Ren, et al.
Được phát hành: (2023-01-01)

Canopy Height Mapping for Plantations in Nigeria Using GEDI, Landsat, and Sentinel-2
Bằng: Angela Tsao, et al.
Được phát hành: (2023-10-01)

Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests
Bằng: Kamel Lahssini, et al.
Được phát hành: (2022-12-01)

Accuracy assessment of GEDI terrain elevation, canopy height, and aboveground biomass density estimates in Japanese artificial forests
Bằng: Hantao Li, et al.
Được phát hành: (2024-12-01)

High-resolution canopy fuel maps based on GEDI: a foundation for wildfire modeling in Germany
Bằng: Johannes Heisig, et al.
Được phát hành: (2025-01-01)

Evaluating ICESat-2 and GEDI with Integrated Landsat-8 and PALSAR-2 for Mapping Tropical Forest Canopy Height
Bằng: Aobo Liu, et al.
Được phát hành: (2024-10-01)

Quantification of GEDI Geolocation Error and Its Influence on Elevation and Canopy Height
Bằng: Cancan Yang, et al.
Được phát hành: (2024-01-01)

A Framework for Improving Wall-to-Wall Canopy Height Mapping by Integrating GEDI LiDAR
Bằng: Cangjiao Wang, et al.
Được phát hành: (2022-07-01)

Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐2
Bằng: Patrick Kacic, et al.
Được phát hành: (2024-08-01)

Urban Above-Ground Biomass Estimation Using GEDI Laser Data and Optical Remote Sensing Images
Bằng: Xuedi Zhao, et al.
Được phát hành: (2024-03-01)

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops
Bằng: Stefania Di Tommaso, et al.
Được phát hành: (2021-01-01)

Examining the Impact of Topography and Vegetation on Existing Forest Canopy Height Products from ICESat-2 ATLAS/GEDI Data
Bằng: Yisa Li, et al.
Được phát hành: (2024-09-01)

Validation and Error Minimization of Global Ecosystem Dynamics Investigation (GEDI) Relative Height Metrics in the Amazon
Bằng: Alyson East, et al.
Được phát hành: (2024-09-01)

Fusing Sentinel-1 and -2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco
Bằng: Patrick Kacic, et al.
Được phát hành: (2021-12-01)

Evaluating GEDI data fusions for continuous characterizations of forest wildlife habitat
Bằng: Jody C. Vogeler, et al.
Được phát hành: (2023-06-01)

Performance of GEDI Space-Borne LiDAR for Quantifying Structural Variation in the Temperate Forests of South-Eastern Australia
Bằng: Sonam Dhargay, et al.
Được phát hành: (2022-07-01)

A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years
Bằng: Frank Thonfeld, et al.
Được phát hành: (2022-01-01)

Improving GEDI Forest Canopy Height Products by Considering the Stand Age Factor Derived from Time-Series Remote Sensing Images: A Case Study in Fujian, China
Bằng: Xiaocheng Zhou, et al.
Được phát hành: (2023-01-01)

Estimation of Tree Height in Burned Areas with GEDI Laser Data in Northern Portugal and Galicia (Spain)
Bằng: Saulo Folharini, et al.
Được phát hành: (2022-10-01)

Terrain Slope Effect on Forest Height and Wood Volume Estimation from GEDI Data
Bằng: Ibrahim Fayad, et al.
Được phát hành: (2021-05-01)

Modelling forest volume with small area estimation of forest inventory using GEDI footprints as auxiliary information
Bằng: Shaohui Zhang, et al.
Được phát hành: (2022-11-01)

Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods
Bằng: Zhilong Xi, et al.
Được phát hành: (2022-01-01)

Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions
Bằng: Ruoqi Wang, et al.
Được phát hành: (2024-12-01)

Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests
Bằng: Ziyang Wang, et al.
Được phát hành: (2024-11-01)

Incorporating of spatial effects in forest canopy height mapping using airborne, spaceborne lidar and spatial continuous remote sensing data
Bằng: Wankun Min, et al.
Được phát hành: (2024-09-01)

High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
Bằng: Wang Li, et al.
Được phát hành: (2020-10-01)

Validation of the vertical canopy cover profile products derived from GEDI over selected forest sites
Bằng: Yu Li, et al.
Được phát hành: (2024-12-01)

Re-Estimating GEDI Ground Elevation Using Deep Learning: Impacts on Canopy Height and Aboveground Biomass
Bằng: Rei Mitsuhashi, et al.
Được phát hành: (2024-12-01)

Assessment of GEDI's LiDAR Data for the Estimation of Canopy Heights and Wood Volume of Eucalyptus Plantations in Brazil
Bằng: Ibrahim Fayad, et al.
Được phát hành: (2021-01-01)

Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery
Bằng: Shufan Wang, et al.
Được phát hành: (2023-08-01)

Earth Observation Based Monitoring of Forests in Germany: A Review
Bằng: Stefanie Holzwarth, et al.
Được phát hành: (2020-10-01)

Enhancing Wetland Mapping: Integrating Sentinel-1/2, GEDI Data, and Google Earth Engine
Bằng: Hamid Jafarzadeh, et al.
Được phát hành: (2024-03-01)