Results 51 to 60 of about 125,509 (280)

Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined?

Geoscientific Model Development
. The development of high-resolution mapping models for forest attributes based on remote sensing data combined with machine or deep learning techniques has become a prominent topic in the field of forest observation and monitoring.
N. Besic, Nicolas Picard, Cédric Vega, J. Bontemps, Lionel Hertzog, J. Renaud, Fajwel Fogel, Martin Schwartz, Agnès Pellissier-Tanon, Gabriel Destouet, Frédéric Mortier, Milena Planells-Rodriguez, P. Ciais   +12 more
semanticscholar   +1 more source

Uncertainty analysis for forest height inversion using L / P band PolInSAR datasets and RVoG model over kryclan forest site

International Journal of Applied Earth Observations and Geoinformation
Forest height, as a measure of the quantity and quality of forest resources, plays a significant role in the study of the ecological functions performed by forests.
Han Zhao, Tingwei Zhang, Yongjie Ji, Wangfei Zhang   +3 more
doaj   +1 more source

Improving Tropical Forest Canopy Height Mapping by Fusion of Sentinel-1/2 and Bias-Corrected ICESat-2–GEDI Data

Remote Sensing
Accurately estimating the forest canopy height is essential for quantifying forest biomass and carbon storage. Recently, the ICESat-2 and GEDI spaceborne LiDAR missions have significantly advanced global canopy height mapping.
Aobo Liu, Yating Chen, Xiao Cheng
semanticscholar   +1 more source

Deep learning-driven forest canopy height mapping in boreal regions through multi-source remote sensing fusion: Integrating Sentinel-1/2, PALSAR, and ICESat-2/LVIS data

International Journal of Applied Earth Observations and Geoinformation
Forest canopy height is a key indicator for estimating forest carbon sinks and managing vegetation growth. Existing methods for fusing optical and Light Detection and Ranging (LiDAR) data still have limitations in canopy height estimation for boreal ...
Chenxi Liu, Wei Gong, Shuo Shi, Tong Wang, Tao Xu, Zixi Shi, Jiayun Niu   +6 more
doaj   +1 more source

Mapping Canopy Heights of Poplar Plantations in Plain Areas Using ZY3-02 Stereo and Multispectral Data

ISPRS International Journal of Geo-Information, 2019
Forest canopy height plays an important role in forest management and ecosystem modeling. There are a variety of techniques employed to map forest height using remote sensing data but it is still necessary to explore the use of new data and methods.
Mingbo Liu, Chunxiang Cao, Wei Chen, Xuejun Wang   +3 more
doaj   +1 more source

Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions

GIScience & Remote Sensing
Forest canopy height (FCH) is one of the most important variables for carbon stock estimation. While many studies have focused on extracting FCH from spaceborne LiDAR in regions with spatially continuous and large patch sizes of forested lands, limited ...
Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li   +3 more
semanticscholar   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

INVISTIGATION ON CANOPY HEIGHT AND DENSITY DIFFERENTIATIONS IN THE MANAGED AND UNMANAGED FOREST STANDS USING LIDAR DATA (CASE STUDY: SHASTKALATEH FOREST, GORGAN) [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Forest management plans are interesting to keep the forest stand natural composite and structure after silvicultural and management treatments. In order to investigate on stand differences made by management treatments, comparing of these stands with ...
Sh. Shataee, J. Mohammadi
doaj   +1 more source

Error Analysis and Accuracy Improvement in Forest Canopy Height Estimation Based on GEDI L2A Product: A Case Study in the United States

Forests
Various error factors influence the inversion of forest canopy height using GEDI full-waveform LiDAR data, and the interaction of these factors impacts the accuracy of forest canopy height estimation.
Yi Li, Shijuan Gao, Haiqiang Fu, Jianjun Zhu, Qing Hu, Dong Zeng, Yonghui Wei   +6 more
semanticscholar   +1 more source

High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State

American Journal of Botany, EarlyView.
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording, Erik W. Ertsgaard, David E. Giblin, Iris H. Dimpsey, Owen B. Bard   +4 more
wiley   +1 more source